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In R, we have h2o.explain() and h2o.explain_row() and Python we have the .explain() and .explain_row() methods, however there are a number of utility plotting functions that are also added (and
used within these functions).
The explain functions return classes of the following types: {{h2o.explain._explain.H2OExplanation}} in Python and {{H2OExplanation}} in R.
There are a number of new functions that come along with the main {{.explain()}} interface:
h3. Python
New methods added to H2OAutoML and at the same time functions accepting list of models in {{h2o}} module, e.g., {{aml.partial_dependences(test_frame, column)}}/ {{h2o.partial_dependences(list_of_models, test_frame, column)}}
** {{pd_multi_plot}}
** {{varimp_heatmap}}
** {{model_correlation_heatmap}}
** {{explain}}
** {{explain_row}}
Methods usable only by tree-based models (i.e., models that implement {{predict_contributions}})
** {{shap_explain_row_plot}}
** {{shap_summary_plot}}
Methods implemented for every model:
** {{ice_plot}}
** {{pd_plot}}
** {{explain}}
** {{explain_row}}
Method implemented only for regression:
** {{residual_analysis_plot}}
h3. R
Functions applicable on H2OAutoML or list of models:
** {{h2o.explain}}
** {{h2o.explain_row}}
** {{h2o.model_correlation_heatmap}}
** {{h2o.pd_multi_plot}}
** {{h2o.varimp_heatmap}}
Functions applicable to single model:
** {{h2o.explain}}
** {{h2o.explain_row}}
** {{h2o.ice_plot}}
** {{h2o.pd_plot}} - the only reason for not using {{h2o.partialPlot}} here is that it is using base plotting which would make it impossible to use as the rest of the plots here - return an object that can later be plotted (also it could not be rendered by {{plotly}} to make it interactive)
** {{h2o.residual_analysis_plot}} - only for regression problems
** only for tree-based models (i.e., models that implement {{predict_contributions}})
*** {{h2o.shap_explain_row_plot}}
*** {{h2o.shap_summary_plot}}
The text was updated successfully, but these errors were encountered:
In R, we have
h2o.explain()
andh2o.explain_row()
and Python we have the.explain()
and.explain_row()
methods, however there are a number of utility plotting functions that are also added (andused within these functions).
The explain functions return classes of the following types: {{h2o.explain._explain.H2OExplanation}} in Python and {{H2OExplanation}} in R.
There are a number of new functions that come along with the main {{.explain()}} interface:
h3. Python
** {{pd_multi_plot}}
** {{varimp_heatmap}}
** {{model_correlation_heatmap}}
** {{explain}}
** {{explain_row}}
** {{shap_explain_row_plot}}
** {{shap_summary_plot}}
** {{ice_plot}}
** {{pd_plot}}
** {{explain}}
** {{explain_row}}
** {{residual_analysis_plot}}
h3. R
** {{h2o.explain}}
** {{h2o.explain_row}}
** {{h2o.model_correlation_heatmap}}
** {{h2o.pd_multi_plot}}
** {{h2o.varimp_heatmap}}
** {{h2o.explain}}
** {{h2o.explain_row}}
** {{h2o.ice_plot}}
** {{h2o.pd_plot}} - the only reason for not using {{h2o.partialPlot}} here is that it is using base plotting which would make it impossible to use as the rest of the plots here - return an object that can later be plotted (also it could not be rendered by {{plotly}} to make it interactive)
** {{h2o.residual_analysis_plot}} - only for regression problems
** only for tree-based models (i.e., models that implement {{predict_contributions}})
*** {{h2o.shap_explain_row_plot}}
*** {{h2o.shap_summary_plot}}
The text was updated successfully, but these errors were encountered: