Last updated on 2025-12-23 19:51:21 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-gcc | 1.0.7 | 52.05 | 120.12 | 172.17 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.0.7 | 187.00 | 264.76 | 451.76 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 1.0.7 | 157.00 | 282.45 | 439.45 | ERROR | |
| r-patched-linux-x86_64 | 1.0.6 | 91.11 | 406.90 | 498.01 | OK | |
| r-release-linux-x86_64 | 1.0.6 | 85.96 | 409.35 | 495.31 | OK | |
| r-release-macos-arm64 | 1.0.7 | 14.00 | 113.00 | 127.00 | OK | |
| r-release-macos-x86_64 | 1.0.7 | 65.00 | 1322.00 | 1387.00 | OK | |
| r-release-windows-x86_64 | 1.0.7 | OK | ||||
| r-oldrel-macos-arm64 | 1.0.7 | 14.00 | 105.00 | 119.00 | NOTE | |
| r-oldrel-macos-x86_64 | 1.0.7 | 63.00 | 883.00 | 946.00 | NOTE |
Version: 1.0.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [34s/41s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # CRAN OMP THREAD LIMIT
> Sys.setenv("OMP_THREAD_LIMIT" = 1)
>
> library(testthat)
> library(shapr)
Attaching package: 'shapr'
The following object is masked from 'package:testthat':
setup
>
> test_check("shapr")
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: gaussian
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 5
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-asymmetric-causal-setup-373.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 10 of 32 coalitions.
Saving _problems/test-classes-13.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 10 of 32 coalitions.
Saving _problems/test-classes-41.R
Saving _problems/test-forecast-setup-221.R
-- Starting `shapr::explain_forecast()` ----------------------------------------
i Feature names extracted from the model contain `NA`.
Consistency checks between model and data are therefore disabled.
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 128`, and is therefore set to `2^n_features = 128`.
-- Explanation overview --
* Model class: <Arima>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 7
* Number of observations to explain: 2
-- Main computation started --
i Using 128 of 128 coalitions.
Saving _problems/test-forecast-setup-613.R
-- Starting `shapr::explain_forecast()` ----------------------------------------
i Feature names extracted from the model contain `NA`.
Consistency checks between model and data are therefore disabled.
i `max_n_coalitions` is `NULL` or larger than `2^n_groups = 4`, and is therefore set to `2^n_groups = 4`.
-- Explanation overview --
* Model class: <Arima>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of group-wise Shapley values: 2
* Number of observations to explain: 2
-- Main computation started --
i Using 4 of 4 coalitions.
Saving _problems/test-forecast-setup-687.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Iterative computation started --
-- Iteration 1 -----------------------------------------------------------------
i Using 6 of 32 coalitions, 6 new.
Saving _problems/test-iterative-setup-18.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: gaussian
* Procedure: Iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Iterative computation started --
-- Iteration 1 -----------------------------------------------------------------
i Using 6 of 32 coalitions, 6 new.
Saving _problems/test-iterative-setup-51.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-iterative-setup-200.R
Saving _problems/test-iterative-setup-286.R
Saving _problems/test-iterative-setup-411.R
Saving _problems/test-model-classes-19.R
Saving _problems/test-model-classes-43.R
Saving _problems/test-model-classes-67.R
Saving _problems/test-model-classes-97.R
Saving _problems/test-model-classes-122.R
Saving _problems/test-model-classes-148.R
Saving _problems/test-model-classes-182.R
Saving _problems/test-model-classes-215.R
Saving _problems/test-model-classes-246.R
Saving _problems/test-model-classes-277.R
Saving _problems/test-model-classes-303.R
Saving _problems/test-model-classes-339.R
Saving _problems/test-regular-setup-51.R
Saving _problems/test-regular-setup-527.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: ctree
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 10 of 32 coalitions.
Saving _problems/test-regular-setup-1216.R
Saving _problems/test-regular-setup-1235.R
Saving _problems/test-regular-setup-1281.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: ctree
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of group-wise Shapley values: 3
* Feature groups: A: {"Solar.R", "Wind"}; B: {"Temp", "Month_factor"}; C:
{"Day"}
* Number of observations to explain: 3
-- Main computation started --
i Using 6 of 8 coalitions.
Saving _problems/test-regular-setup-1358.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1372.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1421.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: gaussian
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1485.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence, empirical, gaussian, and copula
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1540.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence, empirical, gaussian, and copula
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1570.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: gaussian
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1758.R
Saving _problems/test-regular-setup-1805.R
Saving _problems/test-regular-setup-1840.R
Saving _problems/test-regular-setup-1864.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 50
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 18 of 32 coalitions.
Saving _problems/test-semi-deterministic-setup-86.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 50
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 20 of 32 coalitions.
Saving _problems/test-semi-deterministic-setup-115.R
[ FAIL 42 | WARN 0 | SKIP 46 | PASS 2 ]
══ Skipped tests (46) ══════════════════════════════════════════════════════════
• On CRAN (44): 'test-asymmetric-causal-output.R:14:1',
'test-asymmetric-causal-setup.R:1:1', 'test-asymmetric-causal-setup.R:229:1',
'test-asymmetric-causal-setup.R:253:1',
'test-asymmetric-causal-setup.R:318:1', 'test-forecast-output.R:2:1',
'test-forecast-setup.R:3:1', 'test-forecast-setup.R:33:1',
'test-forecast-setup.R:107:1', 'test-forecast-setup.R:136:1',
'test-forecast-setup.R:225:1', 'test-forecast-setup.R:299:1',
'test-forecast-setup.R:349:1', 'test-forecast-setup.R:445:1',
'test-forecast-setup.R:518:1', 'test-iterative-output.R:1:1',
'test-iterative-setup.R:75:1', 'test-plot.R:1:1',
'test-regression-output.R:1:1', 'test-regression-setup.R:8:1',
'test-regression-setup.R:46:1', 'test-regression-setup.R:174:1',
'test-regression-setup.R:232:1', 'test-regression-setup.R:294:1',
'test-regression-setup.R:335:1', 'test-regular-output.R:1:1',
'test-regular-setup.R:1:1', 'test-regular-setup.R:118:1',
'test-regular-setup.R:236:1', 'test-regular-setup.R:259:1',
'test-regular-setup.R:317:1', 'test-regular-setup.R:554:1',
'test-regular-setup.R:677:1', 'test-regular-setup.R:792:1',
'test-regular-setup.R:813:1', 'test-regular-setup.R:871:1',
'test-regular-setup.R:929:1', 'test-regular-setup.R:1036:1',
'test-regular-setup.R:1148:1', 'test-semi-deterministic-output.R:1:1',
'test-semi-deterministic-setup.R:1:1',
'test-semi-deterministic-setup.R:22:1',
'test-semi-deterministic-setup.R:47:1', 'test-summary.R:1:1'
• torch::torch_is_installed() is not TRUE (2): 'test-regular-setup.R:1628:3',
'test-regular-setup.R:1671:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-asymmetric-causal-setup.R:364:3'): cond_sym_as_NULLconfounding ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-asymmetric-causal-setup.R:364:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-classes.R:4:3'): shapr class has correct structure ─────────────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-classes.R:4:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-classes.R:32:3'): summary.shapr class has correct structure ────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-classes.R:32:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-forecast-setup.R:197:3'): erroneous input: `max_n_coalitions` ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain_forecast(...)
2. └─shapr:::shapley_setup_forecast(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-forecast-setup.R:597:3'): ARIMA gives the same output with different horizons ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain_forecast(...) at test-forecast-setup.R:597:3
2. └─shapr:::shapley_setup_forecast(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-forecast-setup.R:671:3'): ARIMA gives the same output with different horizons with grouping ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain_forecast(...) at test-forecast-setup.R:671:3
2. └─shapr:::shapley_setup_forecast(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:2:3'): iterative_args are respected ──────────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-iterative-setup.R:2:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:38:3'): iterative feature wise and groupwise computations identical ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-iterative-setup.R:38:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:191:3'): different n_batches gives same/different shapley values for different approaches ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-iterative-setup.R:191:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:267:3'): output_lm_numeric_independence_saving_and_cont_est ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-iterative-setup.R:267:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:398:3'): output_lm_numeric_independence_keep_samp_for_vS ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─shapr:::expect_snapshot_rds(...) at test-iterative-setup.R:398:3
2. │ ├─testthat::expect_snapshot(...)
3. │ │ └─testthat:::expect_snapshot_(...)
4. │ │ ├─testthat:::with_is_snapshotting(...)
5. │ │ └─testthat:::verify_exec(quo_get_expr(x), quo_get_env(x), replay)
6. │ │ └─evaluate::evaluate(source, envir = env, new_device = FALSE, output_handler = handler)
7. │ │ ├─base::withRestarts(...)
8. │ │ │ └─base (local) withRestartList(expr, restarts)
9. │ │ │ ├─base (local) withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
10. │ │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
11. │ │ │ └─base (local) withRestartList(expr, restarts[-nr])
12. │ │ │ └─base (local) withOneRestart(expr, restarts[[1L]])
13. │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
14. │ │ ├─evaluate:::with_handlers(...)
15. │ │ │ ├─base::eval(call)
16. │ │ │ │ └─base::eval(call)
17. │ │ │ └─base::withCallingHandlers(...)
18. │ │ ├─base::withVisible(eval(expr, envir))
19. │ │ └─base::eval(expr, envir)
20. │ │ └─base::eval(expr, envir)
21. │ └─base::print(...)
22. └─shapr::explain(...)
23. └─shapr::shapley_setup(internal)
24. └─shapr:::create_coalition_table(...)
25. └─shapr:::sample_coalition_table(...)
26. └─shapr:::exact_coalition_table(...)
27. ├─dt[, `:=`(N, .N), coalition_size]
28. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:421:7'): output_verbose_suppressMessages ─────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_silent(...) at test-iterative-setup.R:419:3
2. │ └─testthat:::quasi_capture(enquo(object), NULL, evaluate_promise)
3. │ ├─testthat (local) .capture(...)
4. │ │ ├─withr::with_output_sink(...)
5. │ │ │ └─base::force(code)
6. │ │ ├─base::withCallingHandlers(...)
7. │ │ └─base::withVisible(code)
8. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
9. ├─base::suppressMessages(...) at test-iterative-setup.R:420:5
10. │ └─base::withCallingHandlers(...)
11. └─shapr::explain(...) at test-iterative-setup.R:421:7
12. └─shapr::shapley_setup(internal)
13. └─shapr:::create_coalition_table(...)
14. └─shapr:::sample_coalition_table(...)
15. └─shapr:::exact_coalition_table(...)
16. ├─dt[, `:=`(N, .N), coalition_size]
17. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:439:5'): output_verbose_NULL ─────────────────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_silent(...) at test-iterative-setup.R:438:3
2. │ └─testthat:::quasi_capture(enquo(object), NULL, evaluate_promise)
3. │ ├─testthat (local) .capture(...)
4. │ │ ├─withr::with_output_sink(...)
5. │ │ │ └─base::force(code)
6. │ │ ├─base::withCallingHandlers(...)
7. │ │ └─base::withVisible(code)
8. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
9. └─shapr::explain(...) at test-iterative-setup.R:439:5
10. └─shapr::shapley_setup(internal)
11. └─shapr:::create_coalition_table(...)
12. └─shapr:::sample_coalition_table(...)
13. └─shapr:::exact_coalition_table(...)
14. ├─dt[, `:=`(N, .N), coalition_size]
15. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:11:3'): lm model works with explain ────────────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:11:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:35:3'): glm model works with explain (gaussian) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:35:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:59:3'): glm model works with explain (binomial) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:59:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:85:3'): ar model works with explain_forecast ───
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain_forecast(...) at test-model-classes.R:85:3
2. └─shapr:::shapley_setup_forecast(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:114:3'): ranger model works with explain (regression) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:114:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:140:3'): ranger model works with explain (probability) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:140:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:174:3'): xgb.train model works with explain (regression) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:174:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:207:3'): xgb.train model works with explain (binary classification) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:207:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:238:3'): xgboost wrapper works with explain (regression) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:238:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:269:3'): xgboost wrapper works with explain (binary classification) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:269:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:295:3'): mgcv gam model works with explain ─────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:295:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:331:3'): workflows model works with explain ────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:331:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:38:3'): messages with missing detail in get_model_specs ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...)
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:513:3'): erroneous input: `max_n_coalitions` ───
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...)
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1207:3'): Correct dimension of S when sampling combinations ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1207:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1224:3'): Message with too low `max_n_coalitions` ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...)
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1268:3'): Shapr with `max_n_coalitions` >= 2^m uses exact Shapley kernel weights ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...)
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1348:3'): Correct dimension of S when sampling combinations with groups ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1348:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1364:3'): data feature ordering is output_lm_numeric_column_order ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1364:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1413:3'): parallelization gives same output for any approach ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1413:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1477:3'): gaussian approach use the user provided parameters ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1477:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1532:3'): setting the seed for combined approaches works ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1532:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1562:3'): counting the number of unique approaches ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1562:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1750:3'): feature wise and groupwise computations are identical ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1750:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1792:3'): output_custom_lm_numeric_independence_2 ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─shapr:::expect_snapshot_rds(...) at test-regular-setup.R:1792:3
2. │ ├─testthat::expect_snapshot(...)
3. │ │ └─testthat:::expect_snapshot_(...)
4. │ │ ├─testthat:::with_is_snapshotting(...)
5. │ │ └─testthat:::verify_exec(quo_get_expr(x), quo_get_env(x), replay)
6. │ │ └─evaluate::evaluate(source, envir = env, new_device = FALSE, output_handler = handler)
7. │ │ ├─base::withRestarts(...)
8. │ │ │ └─base (local) withRestartList(expr, restarts)
9. │ │ │ ├─base (local) withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
10. │ │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
11. │ │ │ └─base (local) withRestartList(expr, restarts[-nr])
12. │ │ │ └─base (local) withOneRestart(expr, restarts[[1L]])
13. │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
14. │ │ ├─evaluate:::with_handlers(...)
15. │ │ │ ├─base::eval(call)
16. │ │ │ │ └─base::eval(call)
17. │ │ │ └─base::withCallingHandlers(...)
18. │ │ ├─base::withVisible(eval(expr, envir))
19. │ │ └─base::eval(expr, envir)
20. │ │ └─base::eval(expr, envir)
21. │ └─base::print(...)
22. └─shapr::explain(...)
23. └─shapr::shapley_setup(internal)
24. └─shapr:::create_coalition_table(...)
25. └─shapr:::exact_coalition_table(...)
26. ├─dt[, `:=`(N, .N), coalition_size]
27. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1827:3'): output_lm_numeric_independence_keep_samp_for_vS ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─shapr:::expect_snapshot_rds(...) at test-regular-setup.R:1827:3
2. │ ├─testthat::expect_snapshot(...)
3. │ │ └─testthat:::expect_snapshot_(...)
4. │ │ ├─testthat:::with_is_snapshotting(...)
5. │ │ └─testthat:::verify_exec(quo_get_expr(x), quo_get_env(x), replay)
6. │ │ └─evaluate::evaluate(source, envir = env, new_device = FALSE, output_handler = handler)
7. │ │ ├─base::withRestarts(...)
8. │ │ │ └─base (local) withRestartList(expr, restarts)
9. │ │ │ ├─base (local) withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
10. │ │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
11. │ │ │ └─base (local) withRestartList(expr, restarts[-nr])
12. │ │ │ └─base (local) withOneRestart(expr, restarts[[1L]])
13. │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
14. │ │ ├─evaluate:::with_handlers(...)
15. │ │ │ ├─base::eval(call)
16. │ │ │ │ └─base::eval(call)
17. │ │ │ └─base::withCallingHandlers(...)
18. │ │ ├─base::withVisible(eval(expr, envir))
19. │ │ └─base::eval(expr, envir)
20. │ │ └─base::eval(expr, envir)
21. │ └─base::print(...)
22. └─shapr::explain(...)
23. └─shapr::shapley_setup(internal)
24. └─shapr:::create_coalition_table(...)
25. └─shapr:::exact_coalition_table(...)
26. ├─dt[, `:=`(N, .N), coalition_size]
27. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1850:3'): output_lm_numeric_vS_batching_method ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─shapr:::expect_snapshot_rds(...) at test-regular-setup.R:1850:3
2. │ ├─testthat::expect_snapshot(...)
3. │ │ └─testthat:::expect_snapshot_(...)
4. │ │ ├─testthat:::with_is_snapshotting(...)
5. │ │ └─testthat:::verify_exec(quo_get_expr(x), quo_get_env(x), replay)
6. │ │ └─evaluate::evaluate(source, envir = env, new_device = FALSE, output_handler = handler)
7. │ │ ├─base::withRestarts(...)
8. │ │ │ └─base (local) withRestartList(expr, restarts)
9. │ │ │ ├─base (local) withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
10. │ │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
11. │ │ │ └─base (local) withRestartList(expr, restarts[-nr])
12. │ │ │ └─base (local) withOneRestart(expr, restarts[[1L]])
13. │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
14. │ │ ├─evaluate:::with_handlers(...)
15. │ │ │ ├─base::eval(call)
16. │ │ │ │ └─base::eval(call)
17. │ │ │ └─base::withCallingHandlers(...)
18. │ │ ├─base::withVisible(eval(expr, envir))
19. │ │ └─base::eval(expr, envir)
20. │ │ └─base::eval(expr, envir)
21. │ └─base::print(...)
22. └─shapr::explain(...)
23. └─shapr::shapley_setup(internal)
24. └─shapr:::create_coalition_table(...)
25. └─shapr:::sample_coalition_table(...)
26. └─shapr:::exact_coalition_table(...)
27. ├─dt[, `:=`(N, .N), coalition_size]
28. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-semi-deterministic-setup.R:73:3'): setup_semi_determ_n_determ_sample_coal_18 ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-semi-deterministic-setup.R:73:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-semi-deterministic-setup.R:102:3'): setup_semi_determ_n_determ_sample_coal_20 ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-semi-deterministic-setup.R:102:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
[ FAIL 42 | WARN 0 | SKIP 46 | PASS 2 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.0.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [78s/95s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # CRAN OMP THREAD LIMIT
> Sys.setenv("OMP_THREAD_LIMIT" = 1)
>
> library(testthat)
> library(shapr)
Attaching package: 'shapr'
The following object is masked from 'package:testthat':
setup
>
> test_check("shapr")
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: gaussian
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 5
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-asymmetric-causal-setup-373.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 10 of 32 coalitions.
Saving _problems/test-classes-13.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 10 of 32 coalitions.
Saving _problems/test-classes-41.R
Saving _problems/test-forecast-setup-221.R
-- Starting `shapr::explain_forecast()` ----------------------------------------
i Feature names extracted from the model contain `NA`.
Consistency checks between model and data are therefore disabled.
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 128`, and is therefore set to `2^n_features = 128`.
-- Explanation overview --
* Model class: <Arima>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 7
* Number of observations to explain: 2
-- Main computation started --
i Using 128 of 128 coalitions.
Saving _problems/test-forecast-setup-613.R
-- Starting `shapr::explain_forecast()` ----------------------------------------
i Feature names extracted from the model contain `NA`.
Consistency checks between model and data are therefore disabled.
i `max_n_coalitions` is `NULL` or larger than `2^n_groups = 4`, and is therefore set to `2^n_groups = 4`.
-- Explanation overview --
* Model class: <Arima>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of group-wise Shapley values: 2
* Number of observations to explain: 2
-- Main computation started --
i Using 4 of 4 coalitions.
Saving _problems/test-forecast-setup-687.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Iterative computation started --
-- Iteration 1 -----------------------------------------------------------------
i Using 6 of 32 coalitions, 6 new.
Saving _problems/test-iterative-setup-18.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: gaussian
* Procedure: Iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Iterative computation started --
-- Iteration 1 -----------------------------------------------------------------
i Using 6 of 32 coalitions, 6 new.
Saving _problems/test-iterative-setup-51.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-iterative-setup-200.R
Saving _problems/test-iterative-setup-286.R
Saving _problems/test-iterative-setup-411.R
Saving _problems/test-model-classes-19.R
Saving _problems/test-model-classes-43.R
Saving _problems/test-model-classes-67.R
Saving _problems/test-model-classes-97.R
Saving _problems/test-model-classes-122.R
Saving _problems/test-model-classes-148.R
Saving _problems/test-model-classes-182.R
Saving _problems/test-model-classes-215.R
Saving _problems/test-model-classes-246.R
Saving _problems/test-model-classes-277.R
Saving _problems/test-model-classes-303.R
Saving _problems/test-model-classes-339.R
Saving _problems/test-regular-setup-51.R
Saving _problems/test-regular-setup-527.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: ctree
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 10 of 32 coalitions.
Saving _problems/test-regular-setup-1216.R
Saving _problems/test-regular-setup-1235.R
Saving _problems/test-regular-setup-1281.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: ctree
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of group-wise Shapley values: 3
* Feature groups: A: {"Solar.R", "Wind"}; B: {"Temp", "Month_factor"}; C:
{"Day"}
* Number of observations to explain: 3
-- Main computation started --
i Using 6 of 8 coalitions.
Saving _problems/test-regular-setup-1358.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1372.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1421.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: gaussian
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1485.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence, empirical, gaussian, and copula
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1540.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence, empirical, gaussian, and copula
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1570.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: gaussian
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1758.R
Saving _problems/test-regular-setup-1805.R
Saving _problems/test-regular-setup-1840.R
Saving _problems/test-regular-setup-1864.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 50
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 18 of 32 coalitions.
Saving _problems/test-semi-deterministic-setup-86.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 50
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 20 of 32 coalitions.
Saving _problems/test-semi-deterministic-setup-115.R
[ FAIL 42 | WARN 0 | SKIP 46 | PASS 2 ]
══ Skipped tests (46) ══════════════════════════════════════════════════════════
• On CRAN (44): 'test-asymmetric-causal-output.R:14:1',
'test-asymmetric-causal-setup.R:1:1', 'test-asymmetric-causal-setup.R:229:1',
'test-asymmetric-causal-setup.R:253:1',
'test-asymmetric-causal-setup.R:318:1', 'test-forecast-output.R:2:1',
'test-forecast-setup.R:3:1', 'test-forecast-setup.R:33:1',
'test-forecast-setup.R:107:1', 'test-forecast-setup.R:136:1',
'test-forecast-setup.R:225:1', 'test-forecast-setup.R:299:1',
'test-forecast-setup.R:349:1', 'test-forecast-setup.R:445:1',
'test-forecast-setup.R:518:1', 'test-iterative-output.R:1:1',
'test-iterative-setup.R:75:1', 'test-plot.R:1:1',
'test-regression-output.R:1:1', 'test-regression-setup.R:8:1',
'test-regression-setup.R:46:1', 'test-regression-setup.R:174:1',
'test-regression-setup.R:232:1', 'test-regression-setup.R:294:1',
'test-regression-setup.R:335:1', 'test-regular-output.R:1:1',
'test-regular-setup.R:1:1', 'test-regular-setup.R:118:1',
'test-regular-setup.R:236:1', 'test-regular-setup.R:259:1',
'test-regular-setup.R:317:1', 'test-regular-setup.R:554:1',
'test-regular-setup.R:677:1', 'test-regular-setup.R:792:1',
'test-regular-setup.R:813:1', 'test-regular-setup.R:871:1',
'test-regular-setup.R:929:1', 'test-regular-setup.R:1036:1',
'test-regular-setup.R:1148:1', 'test-semi-deterministic-output.R:1:1',
'test-semi-deterministic-setup.R:1:1',
'test-semi-deterministic-setup.R:22:1',
'test-semi-deterministic-setup.R:47:1', 'test-summary.R:1:1'
• torch::torch_is_installed() is not TRUE (2): 'test-regular-setup.R:1628:3',
'test-regular-setup.R:1671:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-asymmetric-causal-setup.R:364:3'): cond_sym_as_NULLconfounding ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-asymmetric-causal-setup.R:364:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-classes.R:4:3'): shapr class has correct structure ─────────────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-classes.R:4:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-classes.R:32:3'): summary.shapr class has correct structure ────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-classes.R:32:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-forecast-setup.R:197:3'): erroneous input: `max_n_coalitions` ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain_forecast(...)
2. └─shapr:::shapley_setup_forecast(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-forecast-setup.R:597:3'): ARIMA gives the same output with different horizons ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain_forecast(...) at test-forecast-setup.R:597:3
2. └─shapr:::shapley_setup_forecast(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-forecast-setup.R:671:3'): ARIMA gives the same output with different horizons with grouping ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain_forecast(...) at test-forecast-setup.R:671:3
2. └─shapr:::shapley_setup_forecast(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:2:3'): iterative_args are respected ──────────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-iterative-setup.R:2:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:38:3'): iterative feature wise and groupwise computations identical ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-iterative-setup.R:38:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:191:3'): different n_batches gives same/different shapley values for different approaches ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-iterative-setup.R:191:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:267:3'): output_lm_numeric_independence_saving_and_cont_est ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-iterative-setup.R:267:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:398:3'): output_lm_numeric_independence_keep_samp_for_vS ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─shapr:::expect_snapshot_rds(...) at test-iterative-setup.R:398:3
2. │ ├─testthat::expect_snapshot(...)
3. │ │ └─testthat:::expect_snapshot_(...)
4. │ │ ├─testthat:::with_is_snapshotting(...)
5. │ │ └─testthat:::verify_exec(quo_get_expr(x), quo_get_env(x), replay)
6. │ │ └─evaluate::evaluate(source, envir = env, new_device = FALSE, output_handler = handler)
7. │ │ ├─base::withRestarts(...)
8. │ │ │ └─base (local) withRestartList(expr, restarts)
9. │ │ │ ├─base (local) withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
10. │ │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
11. │ │ │ └─base (local) withRestartList(expr, restarts[-nr])
12. │ │ │ └─base (local) withOneRestart(expr, restarts[[1L]])
13. │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
14. │ │ ├─evaluate:::with_handlers(...)
15. │ │ │ ├─base::eval(call)
16. │ │ │ │ └─base::eval(call)
17. │ │ │ └─base::withCallingHandlers(...)
18. │ │ ├─base::withVisible(eval(expr, envir))
19. │ │ └─base::eval(expr, envir)
20. │ │ └─base::eval(expr, envir)
21. │ └─base::print(...)
22. └─shapr::explain(...)
23. └─shapr::shapley_setup(internal)
24. └─shapr:::create_coalition_table(...)
25. └─shapr:::sample_coalition_table(...)
26. └─shapr:::exact_coalition_table(...)
27. ├─dt[, `:=`(N, .N), coalition_size]
28. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:421:7'): output_verbose_suppressMessages ─────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_silent(...) at test-iterative-setup.R:419:3
2. │ └─testthat:::quasi_capture(enquo(object), NULL, evaluate_promise)
3. │ ├─testthat (local) .capture(...)
4. │ │ ├─withr::with_output_sink(...)
5. │ │ │ └─base::force(code)
6. │ │ ├─base::withCallingHandlers(...)
7. │ │ └─base::withVisible(code)
8. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
9. ├─base::suppressMessages(...) at test-iterative-setup.R:420:5
10. │ └─base::withCallingHandlers(...)
11. └─shapr::explain(...) at test-iterative-setup.R:421:7
12. └─shapr::shapley_setup(internal)
13. └─shapr:::create_coalition_table(...)
14. └─shapr:::sample_coalition_table(...)
15. └─shapr:::exact_coalition_table(...)
16. ├─dt[, `:=`(N, .N), coalition_size]
17. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:439:5'): output_verbose_NULL ─────────────────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_silent(...) at test-iterative-setup.R:438:3
2. │ └─testthat:::quasi_capture(enquo(object), NULL, evaluate_promise)
3. │ ├─testthat (local) .capture(...)
4. │ │ ├─withr::with_output_sink(...)
5. │ │ │ └─base::force(code)
6. │ │ ├─base::withCallingHandlers(...)
7. │ │ └─base::withVisible(code)
8. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
9. └─shapr::explain(...) at test-iterative-setup.R:439:5
10. └─shapr::shapley_setup(internal)
11. └─shapr:::create_coalition_table(...)
12. └─shapr:::sample_coalition_table(...)
13. └─shapr:::exact_coalition_table(...)
14. ├─dt[, `:=`(N, .N), coalition_size]
15. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:11:3'): lm model works with explain ────────────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:11:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:35:3'): glm model works with explain (gaussian) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:35:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:59:3'): glm model works with explain (binomial) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:59:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:85:3'): ar model works with explain_forecast ───
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain_forecast(...) at test-model-classes.R:85:3
2. └─shapr:::shapley_setup_forecast(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:114:3'): ranger model works with explain (regression) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:114:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:140:3'): ranger model works with explain (probability) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:140:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:174:3'): xgb.train model works with explain (regression) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:174:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:207:3'): xgb.train model works with explain (binary classification) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:207:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:238:3'): xgboost wrapper works with explain (regression) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:238:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:269:3'): xgboost wrapper works with explain (binary classification) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:269:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:295:3'): mgcv gam model works with explain ─────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:295:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:331:3'): workflows model works with explain ────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:331:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:38:3'): messages with missing detail in get_model_specs ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...)
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:513:3'): erroneous input: `max_n_coalitions` ───
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...)
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1207:3'): Correct dimension of S when sampling combinations ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1207:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1224:3'): Message with too low `max_n_coalitions` ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...)
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1268:3'): Shapr with `max_n_coalitions` >= 2^m uses exact Shapley kernel weights ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...)
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1348:3'): Correct dimension of S when sampling combinations with groups ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1348:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1364:3'): data feature ordering is output_lm_numeric_column_order ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1364:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1413:3'): parallelization gives same output for any approach ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1413:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1477:3'): gaussian approach use the user provided parameters ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1477:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1532:3'): setting the seed for combined approaches works ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1532:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1562:3'): counting the number of unique approaches ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1562:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1750:3'): feature wise and groupwise computations are identical ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1750:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1792:3'): output_custom_lm_numeric_independence_2 ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─shapr:::expect_snapshot_rds(...) at test-regular-setup.R:1792:3
2. │ ├─testthat::expect_snapshot(...)
3. │ │ └─testthat:::expect_snapshot_(...)
4. │ │ ├─testthat:::with_is_snapshotting(...)
5. │ │ └─testthat:::verify_exec(quo_get_expr(x), quo_get_env(x), replay)
6. │ │ └─evaluate::evaluate(source, envir = env, new_device = FALSE, output_handler = handler)
7. │ │ ├─base::withRestarts(...)
8. │ │ │ └─base (local) withRestartList(expr, restarts)
9. │ │ │ ├─base (local) withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
10. │ │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
11. │ │ │ └─base (local) withRestartList(expr, restarts[-nr])
12. │ │ │ └─base (local) withOneRestart(expr, restarts[[1L]])
13. │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
14. │ │ ├─evaluate:::with_handlers(...)
15. │ │ │ ├─base::eval(call)
16. │ │ │ │ └─base::eval(call)
17. │ │ │ └─base::withCallingHandlers(...)
18. │ │ ├─base::withVisible(eval(expr, envir))
19. │ │ └─base::eval(expr, envir)
20. │ │ └─base::eval(expr, envir)
21. │ └─base::print(...)
22. └─shapr::explain(...)
23. └─shapr::shapley_setup(internal)
24. └─shapr:::create_coalition_table(...)
25. └─shapr:::exact_coalition_table(...)
26. ├─dt[, `:=`(N, .N), coalition_size]
27. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1827:3'): output_lm_numeric_independence_keep_samp_for_vS ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─shapr:::expect_snapshot_rds(...) at test-regular-setup.R:1827:3
2. │ ├─testthat::expect_snapshot(...)
3. │ │ └─testthat:::expect_snapshot_(...)
4. │ │ ├─testthat:::with_is_snapshotting(...)
5. │ │ └─testthat:::verify_exec(quo_get_expr(x), quo_get_env(x), replay)
6. │ │ └─evaluate::evaluate(source, envir = env, new_device = FALSE, output_handler = handler)
7. │ │ ├─base::withRestarts(...)
8. │ │ │ └─base (local) withRestartList(expr, restarts)
9. │ │ │ ├─base (local) withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
10. │ │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
11. │ │ │ └─base (local) withRestartList(expr, restarts[-nr])
12. │ │ │ └─base (local) withOneRestart(expr, restarts[[1L]])
13. │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
14. │ │ ├─evaluate:::with_handlers(...)
15. │ │ │ ├─base::eval(call)
16. │ │ │ │ └─base::eval(call)
17. │ │ │ └─base::withCallingHandlers(...)
18. │ │ ├─base::withVisible(eval(expr, envir))
19. │ │ └─base::eval(expr, envir)
20. │ │ └─base::eval(expr, envir)
21. │ └─base::print(...)
22. └─shapr::explain(...)
23. └─shapr::shapley_setup(internal)
24. └─shapr:::create_coalition_table(...)
25. └─shapr:::exact_coalition_table(...)
26. ├─dt[, `:=`(N, .N), coalition_size]
27. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1850:3'): output_lm_numeric_vS_batching_method ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─shapr:::expect_snapshot_rds(...) at test-regular-setup.R:1850:3
2. │ ├─testthat::expect_snapshot(...)
3. │ │ └─testthat:::expect_snapshot_(...)
4. │ │ ├─testthat:::with_is_snapshotting(...)
5. │ │ └─testthat:::verify_exec(quo_get_expr(x), quo_get_env(x), replay)
6. │ │ └─evaluate::evaluate(source, envir = env, new_device = FALSE, output_handler = handler)
7. │ │ ├─base::withRestarts(...)
8. │ │ │ └─base (local) withRestartList(expr, restarts)
9. │ │ │ ├─base (local) withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
10. │ │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
11. │ │ │ └─base (local) withRestartList(expr, restarts[-nr])
12. │ │ │ └─base (local) withOneRestart(expr, restarts[[1L]])
13. │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
14. │ │ ├─evaluate:::with_handlers(...)
15. │ │ │ ├─base::eval(call)
16. │ │ │ │ └─base::eval(call)
17. │ │ │ └─base::withCallingHandlers(...)
18. │ │ ├─base::withVisible(eval(expr, envir))
19. │ │ └─base::eval(expr, envir)
20. │ │ └─base::eval(expr, envir)
21. │ └─base::print(...)
22. └─shapr::explain(...)
23. └─shapr::shapley_setup(internal)
24. └─shapr:::create_coalition_table(...)
25. └─shapr:::sample_coalition_table(...)
26. └─shapr:::exact_coalition_table(...)
27. ├─dt[, `:=`(N, .N), coalition_size]
28. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-semi-deterministic-setup.R:73:3'): setup_semi_determ_n_determ_sample_coal_18 ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-semi-deterministic-setup.R:73:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-semi-deterministic-setup.R:102:3'): setup_semi_determ_n_determ_sample_coal_20 ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-semi-deterministic-setup.R:102:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
[ FAIL 42 | WARN 0 | SKIP 46 | PASS 2 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.0.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [74s/91s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # CRAN OMP THREAD LIMIT
> Sys.setenv("OMP_THREAD_LIMIT" = 1)
>
> library(testthat)
> library(shapr)
Attaching package: 'shapr'
The following object is masked from 'package:testthat':
setup
>
> test_check("shapr")
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: gaussian
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 5
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-asymmetric-causal-setup-373.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 10 of 32 coalitions.
Saving _problems/test-classes-13.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 10 of 32 coalitions.
Saving _problems/test-classes-41.R
Saving _problems/test-forecast-setup-221.R
-- Starting `shapr::explain_forecast()` ----------------------------------------
i Feature names extracted from the model contain `NA`.
Consistency checks between model and data are therefore disabled.
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 128`, and is therefore set to `2^n_features = 128`.
-- Explanation overview --
* Model class: <Arima>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 7
* Number of observations to explain: 2
-- Main computation started --
i Using 128 of 128 coalitions.
Saving _problems/test-forecast-setup-613.R
-- Starting `shapr::explain_forecast()` ----------------------------------------
i Feature names extracted from the model contain `NA`.
Consistency checks between model and data are therefore disabled.
i `max_n_coalitions` is `NULL` or larger than `2^n_groups = 4`, and is therefore set to `2^n_groups = 4`.
-- Explanation overview --
* Model class: <Arima>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of group-wise Shapley values: 2
* Number of observations to explain: 2
-- Main computation started --
i Using 4 of 4 coalitions.
Saving _problems/test-forecast-setup-687.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Iterative computation started --
-- Iteration 1 -----------------------------------------------------------------
i Using 6 of 32 coalitions, 6 new.
Saving _problems/test-iterative-setup-18.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: gaussian
* Procedure: Iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Iterative computation started --
-- Iteration 1 -----------------------------------------------------------------
i Using 6 of 32 coalitions, 6 new.
Saving _problems/test-iterative-setup-51.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-iterative-setup-200.R
Saving _problems/test-iterative-setup-286.R
Saving _problems/test-iterative-setup-411.R
Saving _problems/test-model-classes-19.R
Saving _problems/test-model-classes-43.R
Saving _problems/test-model-classes-67.R
Saving _problems/test-model-classes-97.R
Saving _problems/test-model-classes-122.R
Saving _problems/test-model-classes-148.R
Saving _problems/test-model-classes-182.R
Saving _problems/test-model-classes-215.R
Saving _problems/test-model-classes-246.R
Saving _problems/test-model-classes-277.R
Saving _problems/test-model-classes-303.R
Saving _problems/test-model-classes-339.R
Saving _problems/test-regular-setup-51.R
Saving _problems/test-regular-setup-527.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: ctree
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 10 of 32 coalitions.
Saving _problems/test-regular-setup-1216.R
Saving _problems/test-regular-setup-1235.R
Saving _problems/test-regular-setup-1281.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: ctree
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of group-wise Shapley values: 3
* Feature groups: A: {"Solar.R", "Wind"}; B: {"Temp", "Month_factor"}; C:
{"Day"}
* Number of observations to explain: 3
-- Main computation started --
i Using 6 of 8 coalitions.
Saving _problems/test-regular-setup-1358.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1372.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: empirical
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1421.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: gaussian
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1485.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence, empirical, gaussian, and copula
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1540.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence, empirical, gaussian, and copula
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1570.R
-- Starting `shapr::explain()` -------------------------------------------------
i `max_n_coalitions` is `NULL` or larger than `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: gaussian
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 1000
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 32 of 32 coalitions.
Saving _problems/test-regular-setup-1758.R
Saving _problems/test-regular-setup-1805.R
Saving _problems/test-regular-setup-1840.R
Saving _problems/test-regular-setup-1864.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 50
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 18 of 32 coalitions.
Saving _problems/test-semi-deterministic-setup-86.R
-- Starting `shapr::explain()` -------------------------------------------------
-- Explanation overview --
* Model class: <lm>
* v(S) estimation class: Monte Carlo integration
* Approach: independence
* Procedure: Non-iterative
* Number of Monte Carlo integration samples: 50
* Number of feature-wise Shapley values: 5
* Number of observations to explain: 3
-- Main computation started --
i Using 20 of 32 coalitions.
Saving _problems/test-semi-deterministic-setup-115.R
[ FAIL 42 | WARN 0 | SKIP 46 | PASS 2 ]
══ Skipped tests (46) ══════════════════════════════════════════════════════════
• On CRAN (44): 'test-asymmetric-causal-output.R:14:1',
'test-asymmetric-causal-setup.R:1:1', 'test-asymmetric-causal-setup.R:229:1',
'test-asymmetric-causal-setup.R:253:1',
'test-asymmetric-causal-setup.R:318:1', 'test-forecast-output.R:2:1',
'test-forecast-setup.R:3:1', 'test-forecast-setup.R:33:1',
'test-forecast-setup.R:107:1', 'test-forecast-setup.R:136:1',
'test-forecast-setup.R:225:1', 'test-forecast-setup.R:299:1',
'test-forecast-setup.R:349:1', 'test-forecast-setup.R:445:1',
'test-forecast-setup.R:518:1', 'test-iterative-output.R:1:1',
'test-iterative-setup.R:75:1', 'test-plot.R:1:1',
'test-regression-output.R:1:1', 'test-regression-setup.R:8:1',
'test-regression-setup.R:46:1', 'test-regression-setup.R:174:1',
'test-regression-setup.R:232:1', 'test-regression-setup.R:294:1',
'test-regression-setup.R:335:1', 'test-regular-output.R:1:1',
'test-regular-setup.R:1:1', 'test-regular-setup.R:118:1',
'test-regular-setup.R:236:1', 'test-regular-setup.R:259:1',
'test-regular-setup.R:317:1', 'test-regular-setup.R:554:1',
'test-regular-setup.R:677:1', 'test-regular-setup.R:792:1',
'test-regular-setup.R:813:1', 'test-regular-setup.R:871:1',
'test-regular-setup.R:929:1', 'test-regular-setup.R:1036:1',
'test-regular-setup.R:1148:1', 'test-semi-deterministic-output.R:1:1',
'test-semi-deterministic-setup.R:1:1',
'test-semi-deterministic-setup.R:22:1',
'test-semi-deterministic-setup.R:47:1', 'test-summary.R:1:1'
• torch::torch_is_installed() is not TRUE (2): 'test-regular-setup.R:1628:3',
'test-regular-setup.R:1671:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-asymmetric-causal-setup.R:364:3'): cond_sym_as_NULLconfounding ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-asymmetric-causal-setup.R:364:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-classes.R:4:3'): shapr class has correct structure ─────────────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-classes.R:4:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-classes.R:32:3'): summary.shapr class has correct structure ────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-classes.R:32:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-forecast-setup.R:197:3'): erroneous input: `max_n_coalitions` ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain_forecast(...)
2. └─shapr:::shapley_setup_forecast(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-forecast-setup.R:597:3'): ARIMA gives the same output with different horizons ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain_forecast(...) at test-forecast-setup.R:597:3
2. └─shapr:::shapley_setup_forecast(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-forecast-setup.R:671:3'): ARIMA gives the same output with different horizons with grouping ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain_forecast(...) at test-forecast-setup.R:671:3
2. └─shapr:::shapley_setup_forecast(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:2:3'): iterative_args are respected ──────────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-iterative-setup.R:2:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:38:3'): iterative feature wise and groupwise computations identical ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-iterative-setup.R:38:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:191:3'): different n_batches gives same/different shapley values for different approaches ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-iterative-setup.R:191:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:267:3'): output_lm_numeric_independence_saving_and_cont_est ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-iterative-setup.R:267:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:398:3'): output_lm_numeric_independence_keep_samp_for_vS ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─shapr:::expect_snapshot_rds(...) at test-iterative-setup.R:398:3
2. │ ├─testthat::expect_snapshot(...)
3. │ │ └─testthat:::expect_snapshot_(...)
4. │ │ ├─testthat:::with_is_snapshotting(...)
5. │ │ └─testthat:::verify_exec(quo_get_expr(x), quo_get_env(x), replay)
6. │ │ └─evaluate::evaluate(source, envir = env, new_device = FALSE, output_handler = handler)
7. │ │ ├─base::withRestarts(...)
8. │ │ │ └─base (local) withRestartList(expr, restarts)
9. │ │ │ ├─base (local) withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
10. │ │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
11. │ │ │ └─base (local) withRestartList(expr, restarts[-nr])
12. │ │ │ └─base (local) withOneRestart(expr, restarts[[1L]])
13. │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
14. │ │ ├─evaluate:::with_handlers(...)
15. │ │ │ ├─base::eval(call)
16. │ │ │ │ └─base::eval(call)
17. │ │ │ └─base::withCallingHandlers(...)
18. │ │ ├─base::withVisible(eval(expr, envir))
19. │ │ └─base::eval(expr, envir)
20. │ │ └─base::eval(expr, envir)
21. │ └─base::print(...)
22. └─shapr::explain(...)
23. └─shapr::shapley_setup(internal)
24. └─shapr:::create_coalition_table(...)
25. └─shapr:::sample_coalition_table(...)
26. └─shapr:::exact_coalition_table(...)
27. ├─dt[, `:=`(N, .N), coalition_size]
28. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:421:7'): output_verbose_suppressMessages ─────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_silent(...) at test-iterative-setup.R:419:3
2. │ └─testthat:::quasi_capture(enquo(object), NULL, evaluate_promise)
3. │ ├─testthat (local) .capture(...)
4. │ │ ├─withr::with_output_sink(...)
5. │ │ │ └─base::force(code)
6. │ │ ├─base::withCallingHandlers(...)
7. │ │ └─base::withVisible(code)
8. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
9. ├─base::suppressMessages(...) at test-iterative-setup.R:420:5
10. │ └─base::withCallingHandlers(...)
11. └─shapr::explain(...) at test-iterative-setup.R:421:7
12. └─shapr::shapley_setup(internal)
13. └─shapr:::create_coalition_table(...)
14. └─shapr:::sample_coalition_table(...)
15. └─shapr:::exact_coalition_table(...)
16. ├─dt[, `:=`(N, .N), coalition_size]
17. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-iterative-setup.R:439:5'): output_verbose_NULL ─────────────────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::expect_silent(...) at test-iterative-setup.R:438:3
2. │ └─testthat:::quasi_capture(enquo(object), NULL, evaluate_promise)
3. │ ├─testthat (local) .capture(...)
4. │ │ ├─withr::with_output_sink(...)
5. │ │ │ └─base::force(code)
6. │ │ ├─base::withCallingHandlers(...)
7. │ │ └─base::withVisible(code)
8. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
9. └─shapr::explain(...) at test-iterative-setup.R:439:5
10. └─shapr::shapley_setup(internal)
11. └─shapr:::create_coalition_table(...)
12. └─shapr:::sample_coalition_table(...)
13. └─shapr:::exact_coalition_table(...)
14. ├─dt[, `:=`(N, .N), coalition_size]
15. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:11:3'): lm model works with explain ────────────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:11:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:35:3'): glm model works with explain (gaussian) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:35:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:59:3'): glm model works with explain (binomial) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:59:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:85:3'): ar model works with explain_forecast ───
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain_forecast(...) at test-model-classes.R:85:3
2. └─shapr:::shapley_setup_forecast(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:114:3'): ranger model works with explain (regression) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:114:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:140:3'): ranger model works with explain (probability) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:140:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:174:3'): xgb.train model works with explain (regression) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:174:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:207:3'): xgb.train model works with explain (binary classification) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:207:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:238:3'): xgboost wrapper works with explain (regression) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:238:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:269:3'): xgboost wrapper works with explain (binary classification) ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:269:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:295:3'): mgcv gam model works with explain ─────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:295:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-model-classes.R:331:3'): workflows model works with explain ────
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-model-classes.R:331:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:38:3'): messages with missing detail in get_model_specs ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...)
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:513:3'): erroneous input: `max_n_coalitions` ───
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...)
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1207:3'): Correct dimension of S when sampling combinations ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1207:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1224:3'): Message with too low `max_n_coalitions` ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...)
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1268:3'): Shapr with `max_n_coalitions` >= 2^m uses exact Shapley kernel weights ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...)
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1348:3'): Correct dimension of S when sampling combinations with groups ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1348:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1364:3'): data feature ordering is output_lm_numeric_column_order ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1364:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1413:3'): parallelization gives same output for any approach ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1413:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1477:3'): gaussian approach use the user provided parameters ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1477:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1532:3'): setting the seed for combined approaches works ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1532:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1562:3'): counting the number of unique approaches ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1562:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1750:3'): feature wise and groupwise computations are identical ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-regular-setup.R:1750:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::exact_coalition_table(...)
5. ├─dt[, `:=`(N, .N), coalition_size]
6. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1792:3'): output_custom_lm_numeric_independence_2 ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─shapr:::expect_snapshot_rds(...) at test-regular-setup.R:1792:3
2. │ ├─testthat::expect_snapshot(...)
3. │ │ └─testthat:::expect_snapshot_(...)
4. │ │ ├─testthat:::with_is_snapshotting(...)
5. │ │ └─testthat:::verify_exec(quo_get_expr(x), quo_get_env(x), replay)
6. │ │ └─evaluate::evaluate(source, envir = env, new_device = FALSE, output_handler = handler)
7. │ │ ├─base::withRestarts(...)
8. │ │ │ └─base (local) withRestartList(expr, restarts)
9. │ │ │ ├─base (local) withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
10. │ │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
11. │ │ │ └─base (local) withRestartList(expr, restarts[-nr])
12. │ │ │ └─base (local) withOneRestart(expr, restarts[[1L]])
13. │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
14. │ │ ├─evaluate:::with_handlers(...)
15. │ │ │ ├─base::eval(call)
16. │ │ │ │ └─base::eval(call)
17. │ │ │ └─base::withCallingHandlers(...)
18. │ │ ├─base::withVisible(eval(expr, envir))
19. │ │ └─base::eval(expr, envir)
20. │ │ └─base::eval(expr, envir)
21. │ └─base::print(...)
22. └─shapr::explain(...)
23. └─shapr::shapley_setup(internal)
24. └─shapr:::create_coalition_table(...)
25. └─shapr:::exact_coalition_table(...)
26. ├─dt[, `:=`(N, .N), coalition_size]
27. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1827:3'): output_lm_numeric_independence_keep_samp_for_vS ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─shapr:::expect_snapshot_rds(...) at test-regular-setup.R:1827:3
2. │ ├─testthat::expect_snapshot(...)
3. │ │ └─testthat:::expect_snapshot_(...)
4. │ │ ├─testthat:::with_is_snapshotting(...)
5. │ │ └─testthat:::verify_exec(quo_get_expr(x), quo_get_env(x), replay)
6. │ │ └─evaluate::evaluate(source, envir = env, new_device = FALSE, output_handler = handler)
7. │ │ ├─base::withRestarts(...)
8. │ │ │ └─base (local) withRestartList(expr, restarts)
9. │ │ │ ├─base (local) withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
10. │ │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
11. │ │ │ └─base (local) withRestartList(expr, restarts[-nr])
12. │ │ │ └─base (local) withOneRestart(expr, restarts[[1L]])
13. │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
14. │ │ ├─evaluate:::with_handlers(...)
15. │ │ │ ├─base::eval(call)
16. │ │ │ │ └─base::eval(call)
17. │ │ │ └─base::withCallingHandlers(...)
18. │ │ ├─base::withVisible(eval(expr, envir))
19. │ │ └─base::eval(expr, envir)
20. │ │ └─base::eval(expr, envir)
21. │ └─base::print(...)
22. └─shapr::explain(...)
23. └─shapr::shapley_setup(internal)
24. └─shapr:::create_coalition_table(...)
25. └─shapr:::exact_coalition_table(...)
26. ├─dt[, `:=`(N, .N), coalition_size]
27. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-regular-setup.R:1850:3'): output_lm_numeric_vS_batching_method ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. ├─shapr:::expect_snapshot_rds(...) at test-regular-setup.R:1850:3
2. │ ├─testthat::expect_snapshot(...)
3. │ │ └─testthat:::expect_snapshot_(...)
4. │ │ ├─testthat:::with_is_snapshotting(...)
5. │ │ └─testthat:::verify_exec(quo_get_expr(x), quo_get_env(x), replay)
6. │ │ └─evaluate::evaluate(source, envir = env, new_device = FALSE, output_handler = handler)
7. │ │ ├─base::withRestarts(...)
8. │ │ │ └─base (local) withRestartList(expr, restarts)
9. │ │ │ ├─base (local) withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
10. │ │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
11. │ │ │ └─base (local) withRestartList(expr, restarts[-nr])
12. │ │ │ └─base (local) withOneRestart(expr, restarts[[1L]])
13. │ │ │ └─base (local) doWithOneRestart(return(expr), restart)
14. │ │ ├─evaluate:::with_handlers(...)
15. │ │ │ ├─base::eval(call)
16. │ │ │ │ └─base::eval(call)
17. │ │ │ └─base::withCallingHandlers(...)
18. │ │ ├─base::withVisible(eval(expr, envir))
19. │ │ └─base::eval(expr, envir)
20. │ │ └─base::eval(expr, envir)
21. │ └─base::print(...)
22. └─shapr::explain(...)
23. └─shapr::shapley_setup(internal)
24. └─shapr:::create_coalition_table(...)
25. └─shapr:::sample_coalition_table(...)
26. └─shapr:::exact_coalition_table(...)
27. ├─dt[, `:=`(N, .N), coalition_size]
28. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-semi-deterministic-setup.R:73:3'): setup_semi_determ_n_determ_sample_coal_18 ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-semi-deterministic-setup.R:73:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
── Error ('test-semi-deterministic-setup.R:102:3'): setup_semi_determ_n_determ_sample_coal_20 ──
Error in ``[.data.table`(dt, , `:=`(N, .N), coalition_size)`: attempt access index 4/4 in VECTOR_ELT
Backtrace:
▆
1. └─shapr::explain(...) at test-semi-deterministic-setup.R:102:3
2. └─shapr::shapley_setup(internal)
3. └─shapr:::create_coalition_table(...)
4. └─shapr:::sample_coalition_table(...)
5. └─shapr:::exact_coalition_table(...)
6. ├─dt[, `:=`(N, .N), coalition_size]
7. └─data.table:::`[.data.table`(dt, , `:=`(N, .N), coalition_size)
[ FAIL 42 | WARN 0 | SKIP 46 | PASS 2 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.0.7
Check: installed package size
Result: NOTE
installed size is 9.5Mb
sub-directories of 1Mb or more:
doc 4.2Mb
libs 4.0Mb
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64