Uses of Class
oracle.pgx.api.mllib.UnsupervisedGnnExplainer

Packages that use UnsupervisedGnnExplainer

Package	Description
oracle.pgx.api.mllib	This package contains graph machine learning tools for use with PGX.

Uses of UnsupervisedGnnExplainer in oracle.pgx.api.mllib

Methods in oracle.pgx.api.mllib that return UnsupervisedGnnExplainer

Modifier and Type	Method and Description
UnsupervisedGnnExplainer	UnsupervisedGraphWiseModel.gnnExplainer() Get a GnnExplainer object that can explain this model's predictions.
UnsupervisedGnnExplainer	UnsupervisedGnnExplainer.learningRate(double learningRate) Set the learning rate for the explainer.
UnsupervisedGnnExplainer	UnsupervisedGnnExplainer.marginalize(boolean marginalize) Set whether the explainer loss is marginalized over features.
UnsupervisedGnnExplainer	UnsupervisedGnnExplainer.numClusters(int numClusters) Set the number of clusters to use in the explainer loss.
UnsupervisedGnnExplainer	UnsupervisedGnnExplainer.numOptimizationSteps(int numOptimizationSteps) Set the number of optimization steps for the explainer.
UnsupervisedGnnExplainer	UnsupervisedGnnExplainer.numSamples(int numSamples) Set the number of vertex samples to use to optimize the explainer.