Mli_autodoc configuration¶
make_autoreport¶
Make AutoDoc (Boolean) (Expert Setting)
Default value True
Whether to create the experiment AutoDoc after end of experiment.
autodoc_report_name¶
AutoDoc Name (String) (Expert Setting)
Default value 'report'
Specify the name of the report.
autodoc_template¶
AutoDoc Template Location (String) (Expert Setting)
Default value ''
AutoDoc template path. Provide the full path to your custom AutoDoc template or leave as 〈default’to generate the standard AutoDoc.
autodoc_additional_template_folder¶
autodoc_additional_template_folder (String)
Default value ''
Location of the additional AutoDoc templates
autodoc_output_type¶
AutoDoc File Output Type (String) (Expert Setting)
Default value 'docx'
Specify the AutoDoc output type.
autodoc_subtemplate_type¶
AutoDoc SubTemplate Type (String) (Expert Setting)
Default value 'auto'
- Specify the type of sub-templates to use.
Options are 〈auto〉, 〈docx〉 or 〈md〉.
autodoc_max_cm_size¶
Confusion Matrix Max Number of Classes (Number) (Expert Setting)
Default value 10
- Specify the maximum number of classes in the confusion
matrix.
autodoc_num_features¶
Number of Top Features to Document (Number) (Expert Setting)
Default value 50
- Specify the number of top features to display in
the document. setting to -1 disables this restriction.
autodoc_min_relative_importance¶
Minimum Relative Feature Importance Threshold (Float) (Expert Setting)
Default value 0.003
- Specify the minimum relative importance in order
for a feature to be displayed. autodoc_min_relative_importance must be a float >= 0 and <= 1.
autodoc_include_permutation_feature_importance¶
Permutation Feature Importance (Boolean) (Expert Setting)
Default value False
- Whether to compute permutation based feature
importance.
autodoc_feature_importance_num_perm¶
Number of Permutations for Feature Importance (Number) (Expert Setting)
Default value 1
- Number of permutations to make per feature when computing
feature importance.
autodoc_feature_importance_scorer¶
Feature Importance Scorer (String) (Expert Setting)
Default value ''
- Name of the scorer to be used to calculate feature
importance. Leave blank to use experiments default scorer.
autodoc_pd_max_rows¶
PDP and Shapley Summary Plot Max Rows (Number) (Expert Setting)
Default value 10000
- The autodoc_pd_max_rows configuration controls the
number of rows shown for the partial dependence plots (PDP) and Shapley values summary plot in the AutoDoc. Random sampling is used for datasets with more than the autodoc_pd_max_rows limit.
autodoc_pd_max_runtime¶
PDP max runtime in seconds (Number) (Expert Setting)
Default value 45
- Maximum number of seconds Partial Dependency computation
can take when generating report. Set to -1 for no time limit.
autodoc_pd_fast_approx¶
Use fast approximation for PDP (Boolean) (Expert Setting)
Default value True
Whether to enable fast approximation for predictions that are needed for the generation of partial dependence plots. Can help when want to create many PDP plots in short time. Amount of approximation is controlled by fast_approx_num_trees, fast_approx_do_one_fold, fast_approx_do_one_model experiment expert settings.
autodoc_pd_max_int_as_cat_uniques¶
PDP Max. number of unique values for int/float to be categoricals (Number) (Expert Setting)
Default value 50
- Max number of unique values for integer/real columns to be treated as categoricals (test applies to first statistical_threshold_data_size_small rows only)
Similar to max_int_as_cat_uniques used for experiment, but here used to control PDP making.
autodoc_out_of_range¶
PDP Out of Range (Number) (Expert Setting)
Default value 3
- Number of standard deviations outside of the range of
a column to include in partial dependence plots. This shows how the model will react to data it has not seen before.
autodoc_num_rows¶
ICE Number of Rows (Number) (Expert Setting)
Default value 0
- Specify the number of rows to include in PDP and ICE plot
if individual rows are not specified.
autodoc_population_stability_index¶
Population Stability Index (Boolean) (Expert Setting)
Default value False
- Whether to include population stability index if
experiment is binary classification/regression.
autodoc_population_stability_index_n_quantiles¶
Population Stability Index Number of Quantiles (Number) (Expert Setting)
Default value 10
- Number of quantiles to use for population stability index
.
autodoc_prediction_stats¶
Prediction Statistics (Boolean) (Expert Setting)
Default value False
- Whether to include prediction statistics information if
experiment is binary classification/regression.
autodoc_prediction_stats_n_quantiles¶
Prediction Statistics Number of Quantiles (Number) (Expert Setting)
Default value 20
Number of quantiles to use for prediction statistics.
autodoc_response_rate¶
Response Rates Plot (Boolean) (Expert Setting)
Default value False
- Whether to include response rates information if
experiment is binary classification.
autodoc_response_rate_n_quantiles¶
Response Rate Plot Number of Quantiles (Number) (Expert Setting)
Default value 10
- Number of quantiles to use for response rates information
.
autodoc_gini_plot¶
Show GINI Plot (Boolean) (Expert Setting)
Default value False
Whether to show the Gini Plot.
autodoc_enable_shapley_values¶
Enable Shapley Values (Boolean) (Expert Setting)
Default value True
Show Shapley values results in the AutoDoc.
autodoc_global_klime_num_features¶
Global KLIME Number of Features (Number) (Expert Setting)
Default value 10
- The number feature in a KLIME global GLM coefficients
table. Must be an integer greater than 0 or -1. To show all features set to -1.
autodoc_global_klime_num_tables¶
Global KLIME Number of Tables (Number) (Expert Setting)
Default value 1
- Set the number of KLIME global GLM coefficients tables. Set
to 1 to show one table with coefficients sorted by absolute value. Set to 2 to two tables one with the top positive coefficients and one with the top negative coefficients.
autodoc_data_summary_col_num¶
Number of Features in Data Summary Table (Number) (Expert Setting)
Default value -1
- Number of features to be show in data summary. Value
must be an integer. Values lower than 1, f.e. 0 or -1, indicate that all columns should be shown.
autodoc_list_all_config_settings¶
List All Config Settings (Boolean) (Expert Setting)
Default value False
- Whether to show all config settings. If False, only
the changed settings (config overrides) are listed, otherwise all settings are listed.
autodoc_keras_summary_line_length¶
Keras Model Architecture Summary Line Length (Number) (Expert Setting)
Default value -1
- Line length of the keras model architecture summary. Must
be an integer greater than 0 or -1. To use the default line length set value -1.
autodoc_transformer_architecture_max_lines¶
NLP/Image Transformer Architecture Max Lines (Number) (Expert Setting)
Default value 30
- Maximum number of lines shown for advanced transformer
architecture in the Feature section. Note that the full architecture can be found in the Appendix.
autodoc_full_architecture_in_appendix¶
Appendix NLP/Image Transformer Architecture (Boolean) (Expert Setting)
Default value False
- Show full NLP/Image transformer architecture in
the Appendix.
autodoc_coef_table_appendix_results_table¶
Full GLM Coefficients Table in the Appendix (Boolean) (Expert Setting)
Default value False
- Specify whether to show the full glm coefficient
table(s) in the appendix. coef_table_appendix_results_table must be a boolean: True to show tables in appendix, False to not show them .
autodoc_coef_table_num_models¶
GLM Coefficient Tables Number of Models (Number) (Expert Setting)
Default value 1
- Set the number of models for which a glm coefficients
table is shown in the AutoDoc. coef_table_num_models must be -1 or an integer >= 1 (-1 shows all models).
autodoc_coef_table_num_folds¶
GLM Coefficient Tables Number of Folds Per Model (Number) (Expert Setting)
Default value -1
- Set the number of folds per model for which a glm
coefficients table is shown in the AutoDoc. coef_table_num_folds must be -1 or an integer >= 1 (-1 shows all folds per model).
autodoc_coef_table_num_coef¶
**GLM Coefficient Tables Number of Coefficients ** (Number) (Expert Setting)
Default value 50
- Set the number of coefficients to show within a glm
coefficients table in the AutoDoc. coef_table_num_coef, controls the number of rows shown in a glm table and must be -1 or an integer >= 1 (-1 shows all coefficients).
autodoc_coef_table_num_classes¶
GLM Coefficient Tables Number of Classes (Number) (Expert Setting)
Default value 9
- Set the number of classes to show within a glm
coefficients table in the AutoDoc. coef_table_num_classes controls the number of class-columns shown in a glm table and must be -1 or an integer >= 4 (-1 shows all classes).
autodoc_num_histogram_plots¶
Number of Histograms to Show (Number) (Expert Setting)
Default value 10
- When histogram plots are available: The number of
top (default 10) features for which to show histograms.
autodoc_force_singlenode¶
autodoc_force_singlenode (Boolean)
Default value False
If True, will force AutoDoc to run in only the main server, not on remote workers in case of a multi-node setup