tests/testthat/_snaps/semi-deterministic-setup.md

In NorskRegnesentral/shapr: Prediction Explanation with Dependence-Aware Shapley Values

semi_deterministic_sampling: not paired sampling

Code
  explain(testing = TRUE, model = model_lm_numeric, x_explain = x_explain_numeric,
    x_train = x_train_numeric, approach = "independence", phi0 = p0, seed = 1,
    extra_computation_args = list(paired_shap_sampling = FALSE,
      semi_deterministic_sampling = TRUE))
Message

  -- Starting `shapr::explain()` -------------------------------------------------
  i `max_n_coalitions` is `NULL` or larger than or `2^n_features = 32`, and is therefore set to `2^n_features = 32`.
Condition
  Error in `check_and_set_sampling_info()`:
  ! `paired_shap_sampling` cannot be FALSE when `semi_deterministic_sampling` is TRUE.

semi_deterministic_sampling: not regular sampling

Code
  explain_forecast(testing = TRUE, model = model_ar_temp, y = data_arima[, "Temp"],
  train_idx = 2:151, explain_idx = 152:153, explain_y_lags = 2, horizon = 3,
  approach = "empirical", phi0 = p0_ar, seed = 1, group_lags = FALSE,
  extra_computation_args = list(paired_shap_sampling = TRUE,
    semi_deterministic_sampling = TRUE))
Message

  -- Starting `shapr::explain_forecast()` ----------------------------------------
  i Feature names extracted from the model contains `NA`.
    Consistency checks between model and data is therefore disabled.
  i `max_n_coalitions` is `NULL` or larger than or `2^n_features = 4`, and is therefore set to `2^n_features = 4`.
Condition
  Error in `check_and_set_sampling_info()`:
  ! `semi_deterministic_sampling` is not suppored for explain_forecast().

semi_deterministic_sampling: not symmetric sampling

Code
  explain(testing = TRUE, model = model_lm_numeric, x_explain = x_explain_numeric,
    x_train = x_train_numeric, approach = "gaussian", phi0 = p0, seed = 1,
    asymmetric = TRUE, causal_ordering = list(1:2, 3, 4:5), confounding = NULL,
    extra_computation_args = list(paired_shap_sampling = TRUE,
      semi_deterministic_sampling = TRUE))
Message

  -- Starting `shapr::explain()` -------------------------------------------------
  i `max_n_coalitions` is `NULL` or larger than or number of coalitions respecting the causal ordering 8, and is therefore set to 8.
Condition
  Error in `set_extra_comp_params()`:
  ! Set `paired_shap_sampling = FALSE` to compute asymmetric Shapley values. Asymmetric Shapley values do not support paired sampling as the paired coalitions will not necessarily respect the causal ordering.

setup_semi_determ_n_determ_sample_coal_18

Code
  print({
    out <- code
  }, digits = digits)
Output
     explain_id  none Solar.R    Wind   Temp  Month    Day
          <int> <num>   <num>   <num>  <num>  <num>  <num>
  1:          1 42.44  -3.389   7.949 14.864 -4.626 -2.196
  2:          2 42.44   3.083  -3.561 -4.635 -6.028 -2.738
  3:          3 42.44   3.732 -18.903 -1.043 -3.556  2.202

setup_semi_determ_n_determ_sample_coal_20

Code
  print({
    out <- code
  }, digits = digits)
Output
     explain_id  none Solar.R    Wind   Temp  Month    Day
          <int> <num>   <num>   <num>  <num>  <num>  <num>
  1:          1 42.44  -4.331   7.521 17.475 -5.006 -3.057
  2:          2 42.44   2.873  -4.405 -4.707 -4.967 -2.673
  3:          3 42.44   3.354 -18.354 -1.828 -2.822  2.082

NorskRegnesentral/shapr documentation built on June 15, 2025, 6:18 a.m.