MySQL 9.2 Release Notes
This class is an abstraction of the AutoML explainer model as
described in Training Explainers. 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.
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 Table Explanations.
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 Row Explanations, for more information.
Return type
None.