tests/testthat/_snaps/iterative-setup.md

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

erroneous input: min_n_batches

Code
  n_batches_non_numeric_1 <- "bla"
  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(min_n_batches = n_batches_non_numeric_1))
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_extra_computation_args()`:
  ! `extra_computation_args$min_n_batches` must be NULL or a single positive integer.

Code
  n_batches_non_numeric_2 <- TRUE
  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(min_n_batches = n_batches_non_numeric_2))
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_extra_computation_args()`:
  ! `extra_computation_args$min_n_batches` must be NULL or a single positive integer.

Code
  n_batches_non_integer <- 10.5
  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(min_n_batches = n_batches_non_integer))
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_extra_computation_args()`:
  ! `extra_computation_args$min_n_batches` must be NULL or a single positive integer.

Code
  n_batches_too_long <- c(1, 2)
  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(min_n_batches = n_batches_too_long))
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_extra_computation_args()`:
  ! `extra_computation_args$min_n_batches` must be NULL or a single positive integer.

Code
  n_batches_is_NA <- as.numeric(NA)
  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(min_n_batches = n_batches_is_NA))
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_extra_computation_args()`:
  ! `extra_computation_args$min_n_batches` must be NULL or a single positive integer.

Code
  n_batches_non_positive <- 0
  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(min_n_batches = n_batches_non_positive))
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_extra_computation_args()`:
  ! `extra_computation_args$min_n_batches` must be NULL or a single positive integer.

output_lm_numeric_independence_saving_and_cont_est

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  -4.578   8.290 17.504 -5.54 -3.073
  2:          2 42.44   2.209  -3.325 -5.246 -5.54 -1.978
  3:          3 42.44   3.667 -18.590 -1.454 -2.50  1.309

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  -4.578   8.290 17.504 -5.54 -3.073
  2:          2 42.44   2.209  -3.325 -5.246 -5.54 -1.978
  3:          3 42.44   3.667 -18.590 -1.454 -2.50  1.309

output_lm_numeric_independence_keep_samp_for_vS

Code
  print({
    out <- code
  }, digits = digits)
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`.

  -- Explanation overview --

  * Model class: <lm>
  * Approach: independence
  * Iterative estimation: TRUE
  * 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.

  -- Iteration 2 -----------------------------------------------------------------
  i Using 8 of 32 coalitions, 2 new.

  -- Iteration 3 -----------------------------------------------------------------
  i Using 12 of 32 coalitions, 4 new.

  -- Iteration 4 -----------------------------------------------------------------
  i Using 18 of 32 coalitions, 6 new.

  -- Iteration 5 -----------------------------------------------------------------
  i Using 20 of 32 coalitions, 2 new. 
Output
     explain_id  none Solar.R    Wind   Temp  Month    Day
          <int> <num>   <num>   <num>  <num>  <num>  <num>
  1:          1 42.44  -4.548   8.258 17.525 -5.557 -3.076
  2:          2 42.44   2.239  -3.356 -5.224 -5.557 -1.981
  3:          3 42.44   3.697 -18.621 -1.433 -2.517  1.306

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