Mli_surrogates configuration¶
mli_lime_method
¶
LIME method. (String)
Default value 'k-LIME'
Choose LIME method to be used for creation of surrogate models.
mli_use_raw_features
¶
Use original features for surrogate models. (Boolean)
Default value True
Choose whether surrogate models should be built for original or transformed features.
mli_ts_use_raw_features
¶
Use original features for time series based surrogate models. (Boolean)
Default value False
Choose whether time series based surrogate models should be built for original features.
mli_vars_to_pdp
¶
Number of features for Surrogate Partial Dependence Plot. Set to -1 to use all features. (Number)
Default value 10
Set maximum number of features for which to build Surrogate Partial Dependence Plot. Use -1 to calculate Surrogate Partial Dependence Plot for all features.
mli_nfolds
¶
Cross-validation folds for surrogate models. (Number)
Default value 3
Set the number of cross-validation folds for surrogate models.
mli_qbin_count
¶
Number of columns to bin for surrogate models. (Number)
Default value 0
Set the number of columns to bin in case of quantile binning.
mli_sample_size
¶
Sample size for surrogate models. (Number)
Default value 100000
The sample size, number of rows, used for MLI surrogate models.
mli_num_quantiles
¶
Number of bins for quantile binning. (Number)
Default value 10
Number of bins for quantile binning.
mli_drf_num_trees
¶
Number of trees for Random Forest surrogate model. (Number)
Default value 100
Number of trees for Random Forest surrogate model.
mli_drf_max_depth
¶
Max depth for Random Forest surrogate model. (Number)
Default value 20
Max depth for Random Forest surrogate model.
klime_lambda
¶
Regularization strength for k-LIME GLM’s. (List)
Default value [1e-06, 1e-08]
Regularization strength for k-LIME GLM’s.
klime_alpha
¶
Regularization distribution between L1 and L2 for k-LIME GLM’s. (Float)
Default value 0.0
Regularization distribution between L1 and L2 for k-LIME GLM’s.
mli_max_numeric_enum_cardinality
¶
Max cardinality for numeric variables in surrogate models to be considered categorical. (Number)
Default value 25
Max cardinality for numeric variables in surrogate models to be considered categorical.
mli_max_number_cluster_vars
¶
Maximum number of features allowed for k-LIME k-means clustering. (Number)
Default value 6
Maximum number of features allowed for k-LIME k-means clustering.
use_all_columns_klime_kmeans
¶
Use all columns for k-LIME k-means clustering (this will override `mli_max_number_cluster_vars` if set to `True`). (Boolean)
Default value False
Use all columns for k-LIME k-means clustering (this will override mli_max_number_cluster_vars if set to True).