27.3.10.3 Explainer Class

This class is an abstraction of the AutoML explainer model as described in Generate Model Explanations. It has no explicit constructor, but rather is obtained by invoking Classifier.getExplainer() or Regressor.getExplainer().

Explainer exposes a single method, explain(), in two variants, both of which are described in this section.

Explainer.explain()

Version 1

This form of explain() is a JavaScript wrapper for ML_EXPLAIN_TABLE, and explains the training data from a given table using any supplied options, and placing the results in an output table.

Signature

Explainer.explain(
  Table testData, 
  Table outputTable[, 
  Object options]
)

Arguments

testData (Table): Table containing data to be explained.
outputTable (Table): Table used for storing results.
options (Object) (optional): Set of options to use when explaining. For more information, see Generate Prediction Explanations for a Table.

Return type

None. (Inserts into a table.)

Version 2

Explains a sample containing training data, which must contain members used in training; extra members are ignored. This form of explain() is a wrapper for ML_EXPLAIN_ROW.

Signature

explain(
  Object sample[, 
  Object options]
)

Arguments

sample (Object): A sample containing training data.
options (Object) (optional): Options to be used; see Generate Prediction Explanations for a Row of Data, for more information.

Return type

None.