public class SupervisedGraphWiseModel extends GraphWiseModel<oracle.pgx.config.mllib.SupervisedGraphWiseModelConfig,oracle.pgx.api.internal.mllib.SupervisedGraphWiseModelMetadata,SupervisedGraphWiseModel>
SupervisedGraphWiseModelBuilder for documentation of the hyperparameters.| Modifier and Type | Class and Description |
|---|---|
static class |
SupervisedGraphWiseModel.SupervisedGraphWiseInferenceType |
| Modifier and Type | Field and Description |
|---|---|
static java.lang.String |
ALGORITHM_NAME |
| Constructor and Description |
|---|
SupervisedGraphWiseModel(PgxSession session, oracle.pgx.api.internal.Core core, java.util.function.Supplier<java.lang.String> keystorePathSupplier, java.util.function.Supplier<char[]> keystorePasswordSupplier, oracle.pgx.api.internal.mllib.ModelMetadata modelMetadata) |
SupervisedGraphWiseModel(PgxSession session, oracle.pgx.api.internal.Core core, java.util.function.Supplier<java.lang.String> keystorePathSupplier, java.util.function.Supplier<char[]> keystorePasswordSupplier, oracle.pgx.api.internal.mllib.SupervisedGraphWiseModelMetadata modelMetadata)
This constructor should never be used to get a model.
|
| Modifier and Type | Method and Description |
|---|---|
<ID> PgxFrame |
evaluateLabels(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
Blocking version of
evaluateLabelsAsync(PgxGraph, Iterable). |
<ID> PgxFuture<PgxFrame> |
evaluateLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
Evaluates (macro averaged) classification performance statistics for the specified vertices.
|
PgxFuture<java.lang.Double> |
fitAsync(PgxGraph graph)
Trains the GraphWise model on the input graph.
|
java.util.Map<?,java.lang.Float> |
getClassWeights()
Gets the class weights
|
oracle.pgx.config.mllib.SupervisedGraphWiseModelConfig.LossFunction |
getLossFunction()
Gets the loss function
|
oracle.pgx.config.mllib.GraphWisePredictionLayerConfig[] |
getPredictionLayerConfigs()
Gets the configuration objects for the prediction layers
|
java.lang.String |
getVertexTargetPropertyName()
Gets the target property name
|
<ID> PgxFuture<PgxFrame> |
inferEmbeddingsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
Infers the embeddings for the specified vertices.
|
<ID> PgxFrame |
inferLabels(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
Blocking version of
inferLabelsAsync(PgxGraph, Iterable). |
<ID> PgxFuture<PgxFrame> |
inferLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
Infers the labels for the specified vertices.
|
<ID> PgxFrame |
inferLogits(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
Blocking version of
inferLogitsAsync(PgxGraph, Iterable). |
<ID> PgxFuture<PgxFrame> |
inferLogitsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
Infers the prediction logits for the specified vertices.
|
void |
store(java.lang.String path, java.lang.String key)
Blocking version of
storeAsync(String, String). |
void |
store(java.lang.String path, java.lang.String key, boolean overwrite)
Blocking version of
storeAsync(String, String). |
PgxFuture<java.lang.Void> |
storeAsync(java.lang.String path, java.lang.String key)
Stores the GraphWise model in the specified path, with encryption.
|
PgxFuture<java.lang.Void> |
storeAsync(java.lang.String path, java.lang.String key, boolean overwrite)
Stores the GraphWise model in the specified path, with encryption.
|
destroy, destroyAsync, fit, getBatchSize, getConfig, getConvLayerConfigs, getEmbeddingDim, getInputFeatureDim, getLearningRate, getNumEpochs, getSeed, getTrainingLoss, getVertexInputPropertyNames, inferEmbeddings, isFittedpublic static final java.lang.String ALGORITHM_NAME
public SupervisedGraphWiseModel(PgxSession session, oracle.pgx.api.internal.Core core, java.util.function.Supplier<java.lang.String> keystorePathSupplier, java.util.function.Supplier<char[]> keystorePasswordSupplier, oracle.pgx.api.internal.mllib.ModelMetadata modelMetadata)
public SupervisedGraphWiseModel(PgxSession session, oracle.pgx.api.internal.Core core, java.util.function.Supplier<java.lang.String> keystorePathSupplier, java.util.function.Supplier<char[]> keystorePasswordSupplier, oracle.pgx.api.internal.mllib.SupervisedGraphWiseModelMetadata modelMetadata)
SupervisedGraphWiseModelBuilder instead.session - PgxSession to which the model is connectedcore - Core to which the model is connectedmodelMetadata - Metadata concerning the different hyper-parameters of the GraphWise Modelpublic <ID> PgxFrame evaluateLabels(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
evaluateLabelsAsync(PgxGraph, Iterable). Evaluates (macro averaged) classification performance statistics for the specified vertices.public <ID> PgxFuture<PgxFrame> evaluateLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
public PgxFuture<java.lang.Double> fitAsync(PgxGraph graph)
fitAsync in class GraphWiseModel<oracle.pgx.config.mllib.SupervisedGraphWiseModelConfig,oracle.pgx.api.internal.mllib.SupervisedGraphWiseModelMetadata,SupervisedGraphWiseModel>graph - input graph to fit on.public java.util.Map<?,java.lang.Float> getClassWeights()
public oracle.pgx.config.mllib.SupervisedGraphWiseModelConfig.LossFunction getLossFunction()
public oracle.pgx.config.mllib.GraphWisePredictionLayerConfig[] getPredictionLayerConfigs()
public java.lang.String getVertexTargetPropertyName()
public <ID> PgxFuture<PgxFrame> inferEmbeddingsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
inferEmbeddingsAsync in class GraphWiseModel<oracle.pgx.config.mllib.SupervisedGraphWiseModelConfig,oracle.pgx.api.internal.mllib.SupervisedGraphWiseModelMetadata,SupervisedGraphWiseModel>public <ID> PgxFrame inferLabels(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
inferLabelsAsync(PgxGraph, Iterable). Infers the labels for the specified vertices.public <ID> PgxFuture<PgxFrame> inferLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
public <ID> PgxFrame inferLogits(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
inferLogitsAsync(PgxGraph, Iterable). Infers the prediction logits for the specified vertices.public <ID> PgxFuture<PgxFrame> inferLogitsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
public void store(java.lang.String path,
java.lang.String key)
throws java.util.concurrent.ExecutionException,
java.lang.InterruptedException
storeAsync(String, String). Calls storeAsync(String, String) and waits for the returned PgxFuture to complete.java.lang.InterruptedException - if the caller thread gets interrupted while waiting for completion.java.util.concurrent.ExecutionException - if any exception occurred during asynchronous execution. The actual exception will be nested.public void store(java.lang.String path,
java.lang.String key,
boolean overwrite)
throws java.util.concurrent.ExecutionException,
java.lang.InterruptedException
storeAsync(String, String). Calls storeAsync(String, String) and waits for the returned PgxFuture to complete.java.lang.InterruptedException - if the caller thread gets interrupted while waiting for completion.java.util.concurrent.ExecutionException - if any exception occurred during asynchronous execution. The actual exception will be nested.public PgxFuture<java.lang.Void> storeAsync(java.lang.String path, java.lang.String key) throws java.util.concurrent.ExecutionException, java.lang.InterruptedException
path - path to store the modelkey - the encryption key, or null if no encryption should be used.java.util.concurrent.ExecutionExceptionjava.lang.InterruptedExceptionpublic PgxFuture<java.lang.Void> storeAsync(java.lang.String path, java.lang.String key, boolean overwrite)
path - path to store the modelkey - the encryption key, or null if no encryption should be used.