Uses of Class
oracle.pgx.api.frames.PgxFrame

Packages that use PgxFrame

Package	Description
oracle.pgx.api	This package contains the main Java APIs.
oracle.pgx.api.frames	This package contains classes and utilities to build and manipulate PGX Frames.
oracle.pgx.api.mllib	This package contains graph machine learning tools for use with PGX.

Uses of PgxFrame in oracle.pgx.api

Methods in oracle.pgx.api that return PgxFrame

Modifier and Type	Method	Description
PgxFrame	PgxSession.createFrame(java.util.List<ColumnDescriptor> schema, java.util.Map<java.lang.String,java.lang.Iterable<?>> columnData, java.lang.String frameName)	Blocking version of PgxSession.createFrameAsync(List, Map, String).
default PgxFrame	PgqlResultSet.toFrame()	Copies the content of this result set into a new PgxFrame.

Methods in oracle.pgx.api that return types with arguments of type PgxFrame

Modifier and Type	Method	Description
PgxFuture<PgxFrame>	PgxSession.createFrameAsync(java.util.List<ColumnDescriptor> schema, java.util.Map<java.lang.String,java.lang.Iterable<?>> columnData, java.lang.String frameName)	Creates a new frame from client-side data
default PgxFuture<PgxFrame>	PgqlResultSet.toFrameAsync()	Copies the content of this result set into a new PgxFrame.

Methods in oracle.pgx.api with parameters of type PgxFrame

Modifier and Type	Method	Description
PgxGraph	PgxSession.createGraphFromFrames(java.lang.String graphName, PgxFrame vertexFrame, PgxFrame edgeFrame)	Creates an homogeneous graph from the specified frames that represent the vertices and edges of the graph.
PgxFuture<PgxGraph>	PgxSession.createGraphFromFramesAsync(java.lang.String graphName, PgxFrame vertexFrame, PgxFrame edgeFrame)	Creates an homogeneous graph from the specified frames that represent the vertices and edges of the graph.

Uses of PgxFrame in oracle.pgx.api.frames

Methods in oracle.pgx.api.frames that return PgxFrame

Modifier and Type	Method	Description
PgxFrame	PgxFrameBuilder.build(java.lang.String frameName)	Blocking version of PgxFrameBuilder.buildAsync(String).
PgxFrame	PgxGenericFrameReader.csv(java.lang.String... uris)	loads the csv PgxFrame synchronously
PgxFrame	PgxFrame.flatten(java.lang.String... columns)	Create a new PgxFrame with all the specified columns and vector columns flattened into multiple columns.
PgxFrame	PgxFrame.flattenAll()	Create a new PgxFrame with all nested columns and vector columns flattened into multiple columns.
PgxFrame	PgxFrame.flattenAllInPlace()	Modifies the PgxFrame by flattening all nested columns and vector columns into multiple columns.
PgxFrame	PgxFrame.flattenInPlace(java.lang.String... columns)	Modifies the PgxFrame by flattening all the specified columns and vector columns into multiple columns.
PgxFrame	PgxFrame.head()	Extracts the headInPlace(long) first rows of the frame and put them in a new frame Blocking version of head(long).
PgxFrame	PgxFrame.head(long numRows)	Extracts the numRows first rows of the frame and put them in a new frame Blocking version of head(long).
PgxFrame	PgxFrame.headInPlace()	Keeps only the first DEFAULT_LIMIT rows in the frame Blocking version of headInPlace().
PgxFrame	PgxFrame.headInPlace(long numRows)	Keeps only the first numRows rows in the frame Blocking version of headInPlace(long).
PgxFrame	PgxFrame.join(PgxFrame right, java.lang.String joinKeyColumn)	Creates a new PgxFrame by adding the columns of the right frame to this frame aligned on equality of entries in column joinKeyColumn.
PgxFrame	PgxFrame.join(PgxFrame right, java.lang.String leftJoinKeyColumn, java.lang.String rightJoinKeyColumn)	Creates a new PgxFrame by adding the columns of the right frame to this frame aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame.
PgxFrame	PgxFrame.join(PgxFrame right, java.lang.String joinKeyColumn, java.lang.String leftPrefix, java.lang.String rightPrefix)	Creates a new PgxFrame by adding the columns of the right frame to this frame, aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame.
PgxFrame	PgxFrame.join(PgxFrame right, java.lang.String leftJoinKeyColumn, java.lang.String rightJoinKeyColumn, java.lang.String leftPrefix, java.lang.String rightPrefix)	Creates a new PgxFrame by adding the columns of the right frame to this frame, aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame.
PgxFrame	PgxFrameReader.load(java.lang.String... uris)	triggers the loading of the PgxFrame
PgxFrame	PgxGenericFrameReader.pgb(java.lang.String... uris)	loads the csv PgxFrame synchronously
PgxFrame	PgxFrame.print()	Prints all results to System.out.
PgxFrame	PgxFrame.print(long numRows)	Prints numRows results to System.out.
PgxFrame	PgxFrame.print(long numResults, long from)	Prints numResults results from the frame to System.out.
PgxFrame	PgxFrame.print(java.io.PrintStream printStream, long numResults, long from)	Prints the content of the frame Blocking version of printAsync(PrintStream, long, long).
PgxFrame	PgxFrame.renameColumn(java.lang.String oldColumnName, java.lang.String newColumnName)	Returns a new PgxFrame in which the specified column is renamed as specified Blocking version of renameColumnAsync(String, String).
PgxFrame	PgxFrame.renameColumnInPlace(java.lang.String oldColumnName, java.lang.String newColumnName)	Modifies the PgxFrame by renaming the specified column is renamed as specified Blocking version of renameColumnInPlaceAsync(String, String).
PgxFrame	PgxFrame.renameColumns(ColumnRenaming... columnsWithRenamings)	Returns a new PgxFrame in which the specified columns are renamed as specified Blocking version of renameColumnsAsync(ColumnRenaming...).
PgxFrame	PgxFrame.renameColumnsInPlace(ColumnRenaming... columnsWithRenamings)	Modifies the PgxFrame to rename the specified columns as specified Blocking version of renameColumnsInPlaceAsync(ColumnRenaming...).
PgxFrame	PgxFrame.select(java.lang.String... columns)	Returns a new PgxFrame that contains only the specified columns Blocking version of selectAsync(String...).
PgxFrame	PgxFrame.selectInPlace(java.lang.String... columns)	Modifies the PgxFrame to contain only the specified columns Blocking version of selectInPlaceAsync(String...).
PgxFrame	PgxFrame.tail()	Extracts the last DEFAULT_LIMIT rows of the frame into a new frame.
PgxFrame	PgxFrame.tail(long numRows)	Extracts the numRows last rows of the frame and put them in a new frame
PgxFrame	PgxFrame.tailInPlace()	Modifies the frame to keep the last DEFAULT_LIMIT rows of the frame.
PgxFrame	PgxFrame.tailInPlace(long numRows)	Modifies the frame to keep the last DEFAULT_LIMIT rows of the frame.
PgxFrame	PgxFrame.union(PgxFrame b, PgxFrame... others)	Creates a new PgxFrame by concatenating the rows of this frame with the rows of b and others.

Methods in oracle.pgx.api.frames that return types with arguments of type PgxFrame

Modifier and Type	Method	Description
PgxFuture<PgxFrame>	PgxFrameBuilder.buildAsync(java.lang.String frameName)	Builds a frame with the previously given schema and rows
PgxFuture<PgxFrame>	PgxGenericFrameReader.csvAsync(java.lang.String... uris)	triggers the async loading of the csv PgxFrame
PgxFuture<PgxFrame>	PgxFrame.flattenAllAsync()	Create a new PgxFrame with all nested columns and vector columns flattened into multiple columns.
PgxFuture<PgxFrame>	PgxFrame.flattenAllInPlaceAsync()	Modifies the PgxFrame by flattening all nested columns and vector columns into multiple columns.
PgxFuture<PgxFrame>	PgxFrame.flattenAsync(java.lang.String... columns)	Create a new PgxFrame with the specified nested columns and vector columns flattened into multiple columns.
PgxFuture<PgxFrame>	PgxFrame.flattenInPlaceAsync(java.lang.String... columns)	Modifies the PgxFrame by flattening all the specified columns and vector columns into multiple columns.
PgxFuture<PgxFrame>	PgxFrame.headAsync()	Extracts the headInPlace(long) first rows of the frame and put them in a new frame
PgxFuture<PgxFrame>	PgxFrame.headAsync(long numRows)	Extracts the numRows first rows of the frame and put them in a new frame
PgxFuture<PgxFrame>	PgxFrame.headInPlaceAsync()	Modifies the frame to only keep the first headInPlace(long) rows in the frame
PgxFuture<PgxFrame>	PgxFrame.headInPlaceAsync(long numRows)	Modifies the frame to only keep the first numRows rows in the frame
PgxFuture<PgxFrame>	PgxFrame.joinAsync(PgxFrame right, java.lang.String joinKeyColumn)	Creates a new PgxFrame by adding the columns of the right frame to this frame aligned on equality of entries in column joinKeyColumn.
PgxFuture<PgxFrame>	PgxFrame.joinAsync(PgxFrame right, java.lang.String leftJoinKeyColumn, java.lang.String rightJoinKeyColumn)	Creates a new PgxFrame by adding the columns of the right frame to this frame aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame The resulting frame will contain the columns of this frame and the columns of right frame without any prefixes.
PgxFuture<PgxFrame>	PgxFrame.joinAsync(PgxFrame right, java.lang.String joinKeyColumn, java.lang.String leftPrefix, java.lang.String rightPrefix)	Creates a new PgxFrame by adding the columns of the right frame to this frame, aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame.
abstract PgxFuture<PgxFrame>	PgxFrame.joinAsync(PgxFrame right, java.lang.String leftJoinKeyColumn, java.lang.String rightJoinKeyColumn, java.lang.String leftPrefix, java.lang.String rightPrefix)	Creates a new PgxFrame by adding the columns of the right frame to this frame, aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame.
PgxFuture<PgxFrame>	PgxCsvFrameReader.loadAsync(java.lang.String... uris)	trigger the async loading of the PgxFrame
PgxFuture<PgxFrame>	PgxDbFrameReader.loadAsync(java.lang.String... uris)	trigger the async loading of the PgxFrame
abstract PgxFuture<PgxFrame>	PgxFrameReader.loadAsync(java.lang.String... uris)	trigger the async loading of the PgxFrame
PgxFuture<PgxFrame>	PgxGenericFrameReader.loadAsync(java.lang.String... uris)	triggers the async loading of the PgxFrame
PgxFuture<PgxFrame>	PgxPgbFrameReader.loadAsync(java.lang.String... uris)	trigger the async loading of the PgxFrame
PgxFuture<PgxFrame>	PgxGenericFrameReader.pgbAsync(java.lang.String... uris)	triggers the async loading of the pgb PgxFrame
PgxFuture<PgxFrame>	PgxFrame.printAsync()	Prints all results to System.out.
PgxFuture<PgxFrame>	PgxFrame.printAsync(long numRows)	Prints numRows results to System.out.
PgxFuture<PgxFrame>	PgxFrame.printAsync(long numResults, long from)	Prints numResults results from the frame to System.out.
PgxFuture<PgxFrame>	PgxFrame.printAsync(java.io.PrintStream printStream, long numResults, long from)	Prints the content of the frame
PgxFuture<PgxFrame>	PgxFrame.renameColumnAsync(java.lang.String oldColumnName, java.lang.String newColumnName)	Returns a new PgxFrame in which the specified column is renamed as specified
PgxFuture<PgxFrame>	PgxFrame.renameColumnInPlaceAsync(java.lang.String oldColumnName, java.lang.String newColumnName)	Modifies the PgxFrame by renaming the specified column is renamed as specified
PgxFuture<PgxFrame>	PgxFrame.renameColumnsAsync(ColumnRenaming... columnsWithRenamings)	Returns a new PgxFrame in which the specified columns are renamed as specified
PgxFuture<PgxFrame>	PgxFrame.renameColumnsInPlaceAsync(ColumnRenaming... columnsWithRenamings)	Modifies the PgxFrame to rename the specified columns as specified
PgxFuture<PgxFrame>	PgxFrame.selectAsync(java.lang.String... columns)	Returns a new PgxFrame that contains only the specified columns
PgxFuture<PgxFrame>	PgxFrame.selectInPlaceAsync(java.lang.String... columns)	Modifies the PgxFrame to contain only the specified columns
PgxFuture<PgxFrame>	PgxFrame.tailAsync()	Extracts the last DEFAULT_LIMIT rows of the frame and put them in a new frame
PgxFuture<PgxFrame>	PgxFrame.tailAsync(long numRows)	Extracts the numRows last rows of the frame and put them in a new frame
PgxFuture<PgxFrame>	PgxFrame.tailInPlaceAsync()	Modifies the frame to keep the last DEFAULT_LIMIT rows of the frame
PgxFuture<PgxFrame>	PgxFrame.tailInPlaceAsync(long numRows)	Modifies the frame to keep the last numRows rows of the frame
abstract PgxFuture<PgxFrame>	PgxFrame.unionAsync(PgxFrame b, PgxFrame... others)	Creates a new PgxFrame by concatenating the rows of this frame with the rows of b and others.

Methods in oracle.pgx.api.frames with parameters of type PgxFrame

Modifier and Type	Method	Description
PgxEdgeProviderFromFramesCreator	AbstractPgxEntityProviderFromFramesCreator.edgeProvider(java.lang.String providerName, java.lang.String sourceVertexProvider, java.lang.String destinationVertexProvider, PgxFrame frame)	Add a new edge provider to the underlying PgxGraphFromFramesCreator
PgxEdgeProviderFromFramesCreator	PgxGraphFromFramesCreator.edgeProvider(java.lang.String providerName, java.lang.String sourceVertexProvider, java.lang.String destinationVertexProvider, PgxFrame frame)	Add a new edge provider to the graph creator
PgxFrame	PgxFrame.join(PgxFrame right, java.lang.String joinKeyColumn)	Creates a new PgxFrame by adding the columns of the right frame to this frame aligned on equality of entries in column joinKeyColumn.
PgxFrame	PgxFrame.join(PgxFrame right, java.lang.String leftJoinKeyColumn, java.lang.String rightJoinKeyColumn)	Creates a new PgxFrame by adding the columns of the right frame to this frame aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame.
PgxFrame	PgxFrame.join(PgxFrame right, java.lang.String joinKeyColumn, java.lang.String leftPrefix, java.lang.String rightPrefix)	Creates a new PgxFrame by adding the columns of the right frame to this frame, aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame.
PgxFrame	PgxFrame.join(PgxFrame right, java.lang.String leftJoinKeyColumn, java.lang.String rightJoinKeyColumn, java.lang.String leftPrefix, java.lang.String rightPrefix)	Creates a new PgxFrame by adding the columns of the right frame to this frame, aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame.
PgxFuture<PgxFrame>	PgxFrame.joinAsync(PgxFrame right, java.lang.String joinKeyColumn)	Creates a new PgxFrame by adding the columns of the right frame to this frame aligned on equality of entries in column joinKeyColumn.
PgxFuture<PgxFrame>	PgxFrame.joinAsync(PgxFrame right, java.lang.String leftJoinKeyColumn, java.lang.String rightJoinKeyColumn)	Creates a new PgxFrame by adding the columns of the right frame to this frame aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame The resulting frame will contain the columns of this frame and the columns of right frame without any prefixes.
PgxFuture<PgxFrame>	PgxFrame.joinAsync(PgxFrame right, java.lang.String joinKeyColumn, java.lang.String leftPrefix, java.lang.String rightPrefix)	Creates a new PgxFrame by adding the columns of the right frame to this frame, aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame.
abstract PgxFuture<PgxFrame>	PgxFrame.joinAsync(PgxFrame right, java.lang.String leftJoinKeyColumn, java.lang.String rightJoinKeyColumn, java.lang.String leftPrefix, java.lang.String rightPrefix)	Creates a new PgxFrame by adding the columns of the right frame to this frame, aligned on equality of entries in column leftJoinKeyColumn for this frame and column rightJoinKeyColumn for the right frame.
PgxFrame	PgxFrame.union(PgxFrame b, PgxFrame... others)	Creates a new PgxFrame by concatenating the rows of this frame with the rows of b and others.
abstract PgxFuture<PgxFrame>	PgxFrame.unionAsync(PgxFrame b, PgxFrame... others)	Creates a new PgxFrame by concatenating the rows of this frame with the rows of b and others.
PgxVertexProviderFromFramesCreator	AbstractPgxEntityProviderFromFramesCreator.vertexProvider(java.lang.String providerName, PgxFrame frame)	Add a new vertex provider to the underlying PgxGraphFromFramesCreator
PgxVertexProviderFromFramesCreator	PgxGraphFromFramesCreator.vertexProvider(java.lang.String providerName, PgxFrame frame)	Add a new vertex provider to the graph creator

Constructors in oracle.pgx.api.frames with parameters of type PgxFrame

Constructor	Description
PgxCsvFrameStorer(PgxSession session, oracle.pgx.api.internal.Core core, PgxFrame frame)
PgxDbFrameStorer(PgxSession session, oracle.pgx.api.internal.Core core, PgxFrame frame, java.util.function.Supplier<java.lang.String> keystorePathSupplier, java.util.function.Supplier<char[]> keystorePasswordSupplier)
PgxGenericFrameStorer(PgxSession session, oracle.pgx.api.internal.Core core, PgxFrame frame, java.util.function.Supplier<java.lang.String> keystorePathSupplier, java.util.function.Supplier<char[]> keystorePasswordSupplier)
PgxPgbFrameStorer(PgxSession session, oracle.pgx.api.internal.Core core, PgxFrame frame)

Constructor parameters in oracle.pgx.api.frames with type arguments of type PgxFrame

Constructor	Description
PgxFrameBuilder(SessionContext sessionContext, oracle.pgx.api.internal.Core core, java.util.List<ColumnDescriptor> schema, java.util.function.Function<oracle.pgx.api.internal.FrameMetaData,PgxFrame> buildCallback)	Create a PgxFrameBuilder, this will also create a FrameBuilder on the server.

Uses of PgxFrame in oracle.pgx.api.mllib

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

Modifier and Type	Method	Description
PgxFrame	DeepWalkModel.computeSimilars(java.lang.Object vertexId, int k)	Blocking version of DeepWalkModel.computeSimilarsAsync(Object, int).
PgxFrame	DeepWalkModel.computeSimilars(java.util.List<java.lang.Object> vertexIds, int k)	Blocking version of DeepWalkModel.computeSimilarsAsync(List, int).
PgxFrame	Pg2vecModel.computeSimilars(java.lang.Object graphletId, int k)	Blocking version of Pg2vecModel.computeSimilarsAsync(Object, int).
PgxFrame	Pg2vecModel.computeSimilars(java.util.List<java.lang.Object> graphletIds, int k)	Blocking version of Pg2vecModel.computeSimilarsAsync(List, int).
PgxFrame	SupervisedEdgeWiseModel.evaluate(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Blocking version of SupervisedEdgeWiseModel.evaluateAsync(PgxGraph, Iterable).
PgxFrame	SupervisedEdgeWiseModel.evaluate(PgxGraph graph, java.lang.Iterable<PgxEdge> edges, float threshold)	Blocking version of SupervisedEdgeWiseModel.evaluateAsync(PgxGraph, Iterable, float).
<ID> PgxFrame	SupervisedGraphWiseModel.evaluate(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Blocking version of SupervisedGraphWiseModel.evaluateAsync(PgxGraph, Iterable).
<ID> PgxFrame	SupervisedGraphWiseModel.evaluate(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold)	Blocking version of SupervisedGraphWiseModel.evaluateAsync(PgxGraph, Iterable).
<ID> PgxFrame	UnsupervisedAnomalyDetectionGraphWiseModel.evaluateAnomalyLabels(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, java.lang.String vertexAnomalyPropertyName, java.lang.Object anomalyPropertyValue, float threshold)
<ID> PgxFrame	VertexAnomalyDetectionModel.evaluateAnomalyLabels(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, java.lang.String vertexAnomalyPropertyName, java.lang.Object anomalyPropertyValue, float threshold)	Blocking version of VertexAnomalyDetectionModel.evaluateAnomalyLabelsAsync(PgxGraph, Iterable, String, Object, float).
PgxFrame	SupervisedEdgeWiseModel.evaluateLabels(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Blocking version of SupervisedEdgeWiseModel.evaluateLabelsAsync(PgxGraph, Iterable).
PgxFrame	SupervisedEdgeWiseModel.evaluateLabels(PgxGraph graph, java.lang.Iterable<PgxEdge> edges, float threshold)	Blocking version of SupervisedEdgeWiseModel.evaluateLabelsAsync(PgxGraph, Iterable, float).
<ID> PgxFrame	SupervisedGraphWiseModel.evaluateLabels(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Blocking version of SupervisedGraphWiseModel.evaluateLabelsAsync(PgxGraph, Iterable).
<ID> PgxFrame	SupervisedGraphWiseModel.evaluateLabels(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold)	Blocking version of SupervisedGraphWiseModel.evaluateLabelsAsync(PgxGraph, Iterable, float).
PgxFrame	Pg2vecModel.getTrainedGraphletVectors()	Blocking version of Pg2vecModel.getTrainedGraphletVectorsAsync().
PgxFrame	DeepWalkModel.getTrainedVertexVectors()	Blocking version of DeepWalkModel.getTrainedVertexVectorsAsync().
PgxFrame	EdgeWiseModel.getTrainingLog()	Blocking version of EdgeWiseModel.getTrainingLogAsync().
PgxFrame	GraphWiseModel.getTrainingLog()	Blocking version of GraphWiseModel.getTrainingLogAsync().
PgxFrame	SupervisedEdgeWiseModel.infer(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Blocking version of SupervisedEdgeWiseModel.inferAsync(PgxGraph, Iterable).
PgxFrame	SupervisedEdgeWiseModel.infer(PgxGraph graph, java.lang.Iterable<PgxEdge> edges, float threshold)	Blocking version of SupervisedEdgeWiseModel.inferAsync(PgxGraph, Iterable, float).
<ID> PgxFrame	SupervisedGraphWiseModel.infer(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Blocking version of SupervisedGraphWiseModel.inferAsync(PgxGraph, Iterable).
<ID> PgxFrame	SupervisedGraphWiseModel.infer(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold)	Blocking version of SupervisedGraphWiseModel.inferAsync(PgxGraph, Iterable).
<ID> PgxFrame	UnsupervisedAnomalyDetectionGraphWiseModel.inferAnomalyLabels(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold)
<ID> PgxFrame	VertexAnomalyDetectionModel.inferAnomalyLabels(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold)	Blocking version of VertexAnomalyDetectionModel.inferAnomalyLabelsAsync(PgxGraph, Iterable, float).
<ID> PgxFrame	UnsupervisedAnomalyDetectionGraphWiseModel.inferAnomalyScores(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
<ID> PgxFrame	VertexAnomalyDetectionModel.inferAnomalyScores(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Blocking version of VertexAnomalyDetectionModel.inferAnomalyScoresAsync(PgxGraph, Iterable).
PgxFrame	EdgeWiseModel.inferEmbeddings(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Blocking version of EdgeWiseModel.inferEmbeddingsAsync(PgxGraph, Iterable).
<ID> PgxFrame	GraphWiseModel.inferEmbeddings(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Blocking version of GraphWiseModel.inferEmbeddingsAsync(PgxGraph, Iterable).
PgxFrame	Pg2vecModel.inferGraphletVector(PgxGraph graph)	Blocking version of Pg2vecModel.inferGraphletVectorAsync(PgxGraph).
PgxFrame	Pg2vecModel.inferGraphletVectorBatched(PgxGraph graph)	Blocking version of Pg2vecModel.inferGraphletVectorBatchedAsync(PgxGraph).
PgxFrame	SupervisedEdgeWiseModel.inferLabels(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Blocking version of SupervisedEdgeWiseModel.inferLabelsAsync(PgxGraph, Iterable).
PgxFrame	SupervisedEdgeWiseModel.inferLabels(PgxGraph graph, java.lang.Iterable<PgxEdge> edges, float threshold)	Blocking version of SupervisedEdgeWiseModel.inferLabelsAsync(PgxGraph, Iterable, float).
<ID> PgxFrame	SupervisedGraphWiseModel.inferLabels(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Blocking version of SupervisedGraphWiseModel.inferLabelsAsync(PgxGraph, Iterable).
<ID> PgxFrame	SupervisedGraphWiseModel.inferLabels(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold)	Blocking version of SupervisedGraphWiseModel.inferLabelsAsync(PgxGraph, Iterable, float).
PgxFrame	SupervisedEdgeWiseModel.inferLogits(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Blocking version of SupervisedEdgeWiseModel.inferLogitsAsync(PgxGraph, Iterable).
<ID> PgxFrame	SupervisedGraphWiseModel.inferLogits(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Blocking version of SupervisedGraphWiseModel.inferLogitsAsync(PgxGraph, Iterable).

Methods in oracle.pgx.api.mllib that return types with arguments of type PgxFrame

Modifier and Type	Method	Description
PgxFuture<PgxFrame>	DeepWalkModel.computeSimilarsAsync(java.lang.Object vertexIdObject, int k)	Computes the top-k similar vertices for a given vertex
PgxFuture<PgxFrame>	DeepWalkModel.computeSimilarsAsync(java.util.List<java.lang.Object> vertexIdObjects, int k)	Computes the top-k similar vertices for a list of input vertices
PgxFuture<PgxFrame>	Pg2vecModel.computeSimilarsAsync(java.lang.Object graphletIdObject, int k)	Computes the top-k similar graphlets for a given graphlet
PgxFuture<PgxFrame>	Pg2vecModel.computeSimilarsAsync(java.util.List<java.lang.Object> graphletIdObjects, int k)	Computes the top-k similar graphlets for a list of input graphlets
<ID> PgxFuture<PgxFrame>	UnsupervisedAnomalyDetectionGraphWiseModel.evaluateAnomalyLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, java.lang.String vertexAnomalyPropertyName, java.lang.Object anomalyPropertyValue, float threshold)
<ID> PgxFuture<PgxFrame>	VertexAnomalyDetectionModel.evaluateAnomalyLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, java.lang.String vertexAnomalyPropertyName, java.lang.Object anomalyPropertyValue, float threshold)	Evaluates anomaly detection performance statistics for the specified vertices.
PgxFuture<PgxFrame>	SupervisedEdgeWiseModel.evaluateAsync(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Evaluates performance statistics for the specified edges.
PgxFuture<PgxFrame>	SupervisedEdgeWiseModel.evaluateAsync(PgxGraph graph, java.lang.Iterable<PgxEdge> edges, float threshold)	Evaluates performance statistics for the specified vertices.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.evaluateAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Evaluates (macro averaged) classification performance statistics for the specified vertices.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.evaluateAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold)	Evaluates (macro averaged) classification performance statistics for the specified vertices.
PgxFuture<PgxFrame>	SupervisedEdgeWiseModel.evaluateLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Evaluates (macro averaged) classification performance statistics for the specified edges.
PgxFuture<PgxFrame>	SupervisedEdgeWiseModel.evaluateLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxEdge> edges, float threshold)	Evaluates (macro averaged) classification performance statistics for the specified vertices.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.evaluateLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Evaluates (macro averaged) classification performance statistics for the specified vertices.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.evaluateLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold)	Evaluates (macro averaged) classification performance statistics for the specified vertices.
PgxFuture<PgxFrame>	Pg2vecModel.getTrainedGraphletVectorsAsync()	Gets the trained graphlet vectors for the current pg2vec model
PgxFuture<PgxFrame>	DeepWalkModel.getTrainedVertexVectorsAsync()	Gets the trained vertex vectors for the current DeepWalk model
abstract PgxFuture<PgxFrame>	EdgeWiseModel.getTrainingLogAsync()	Get the training log that has evaluation results from validation.
abstract PgxFuture<PgxFrame>	GraphWiseModel.getTrainingLogAsync()	Gets the training log that has evaluation results from validation.
PgxFuture<PgxFrame>	SupervisedEdgeWiseModel.getTrainingLogAsync()	Gets the training log that has evaluation results from validation.
PgxFuture<PgxFrame>	SupervisedGraphWiseModel.getTrainingLogAsync()	Gets the training log that has evaluation results from validation.
PgxFuture<PgxFrame>	UnsupervisedEdgeWiseModel.getTrainingLogAsync()	Gets the training log that has evaluation results from validation.
PgxFuture<PgxFrame>	UnsupervisedGraphWiseModel.getTrainingLogAsync()	Gets the training log that has evaluation results from validation.
<ID> PgxFuture<PgxFrame>	UnsupervisedAnomalyDetectionGraphWiseModel.inferAnomalyLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold)
<ID> PgxFuture<PgxFrame>	VertexAnomalyDetectionModel.inferAnomalyLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold)	Infers the anomaly labels for the specified vertices.
<ID> PgxFuture<PgxFrame>	UnsupervisedAnomalyDetectionGraphWiseModel.inferAnomalyScoresAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)
<ID> PgxFuture<PgxFrame>	VertexAnomalyDetectionModel.inferAnomalyScoresAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Infers the anomaly scores for the specified vertices.
PgxFuture<PgxFrame>	SupervisedEdgeWiseModel.inferAsync(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Does inference for the specified edges.
PgxFuture<PgxFrame>	SupervisedEdgeWiseModel.inferAsync(PgxGraph graph, java.lang.Iterable<PgxEdge> edges, float threshold)	Does the inference for the specified edges.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.inferAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Does inference for the specified vertices.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.inferAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold)	Does inference for the specified vertices.
abstract PgxFuture<PgxFrame>	EdgeWiseModel.inferEmbeddingsAsync(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Infers the embeddings for the specified edges.
abstract <ID> PgxFuture<PgxFrame>	GraphWiseModel.inferEmbeddingsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Infers the embeddings for the specified vertices.
PgxFuture<PgxFrame>	SupervisedEdgeWiseModel.inferEmbeddingsAsync(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Infers the embeddings for the specified edges.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.inferEmbeddingsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Infers the embeddings for the specified vertices.
PgxFuture<PgxFrame>	UnsupervisedEdgeWiseModel.inferEmbeddingsAsync(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Infers the embeddings for the specified edges.
<ID> PgxFuture<PgxFrame>	UnsupervisedGraphWiseModel.inferEmbeddingsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Infers the embeddings for the specified vertices.
PgxFuture<PgxFrame>	Pg2vecModel.inferGraphletVectorAsync(PgxGraph graph)	Infers the vector of the input graphlet
PgxFuture<PgxFrame>	Pg2vecModel.inferGraphletVectorBatchedAsync(PgxGraph graph)	Infers the vectors of the input graphlets
PgxFuture<PgxFrame>	SupervisedEdgeWiseModel.inferLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Infers the labels for the specified edges.
PgxFuture<PgxFrame>	SupervisedEdgeWiseModel.inferLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxEdge> edges, float threshold)	Infers the labels for the specified edges.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.inferLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Infers the labels for the specified vertices.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.inferLabelsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices, float threshold)	Infers the labels for the specified vertices.
PgxFuture<PgxFrame>	SupervisedEdgeWiseModel.inferLogitsAsync(PgxGraph graph, java.lang.Iterable<PgxEdge> edges)	Infers the prediction logits for the specified edges.
<ID> PgxFuture<PgxFrame>	SupervisedGraphWiseModel.inferLogitsAsync(PgxGraph graph, java.lang.Iterable<PgxVertex<ID>> vertices)	Infers the prediction logits for the specified vertices.