索引 (Flink ML : Core 2.2.0 API)

A B C D E F G H I J L M N O P R S T V W
所有类所有程序包

A

AbstractBroadcastWrapperOperator<T,S extends org.apache.flink.streaming.api.operators.StreamOperator<T>> - org.apache.flink.ml.common.broadcast.operator中的类: Base class for the broadcast wrapper operators.
addAlgoOperator(AlgoOperator<?>, TableId...) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: Adds an AlgoOperator in the graph.
addEstimator(Estimator<?, ?>, TableId...) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: Adds an Estimator in the graph.
addEstimator(Estimator<?, ?>, TableId[], TableId[]) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: Adds an Estimator in the graph.
aggregate(DataStream<IN>, AggregateFunction<IN, ACC, OUT>) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Aggregates the elements in each partition of the input bounded stream, and then merges the partial results of all partitions.
aggregate(DataStream<IN>, AggregateFunction<IN, ACC, OUT>, TypeInformation<ACC>, TypeInformation<OUT>) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Aggregates the elements in each partition of the input bounded stream, and then merges the partial results of all partitions.
ALGO_OPERATOR - org.apache.flink.ml.builder.GraphNode.StageType
AlgoOperator<T extends AlgoOperator<T>> - org.apache.flink.ml.api中的接口: An AlgoOperator takes a list of tables as inputs and produces a list of tables as results.
algoOpInputIds - 类中的变量org.apache.flink.ml.builder.GraphNode
allReduceSum(DataStream<double[]>) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Applies allReduceSum on the input data stream.
areBroadcastVariablesReady() - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: checks whether all of broadcast variables are ready.
assignWindows(Object, long, WindowAssigner.WindowAssignerContext) - 类中的方法org.apache.flink.ml.common.datastream.EndOfStreamWindows

B

BroadcastContext - org.apache.flink.ml.common.broadcast中的类: Context to hold the broadcast variables and provides some utility function for accessing broadcast variables.
BroadcastContext() - 类的构造器org.apache.flink.ml.common.broadcast.BroadcastContext
BroadcastStreamingRuntimeContext - org.apache.flink.ml.common.broadcast中的类: An subclass of StreamingRuntimeContext that provides accessibility of broadcast variables.
BroadcastStreamingRuntimeContext(Environment, Map<String, Accumulator<?, ?>>, OperatorMetricGroup, OperatorID, ProcessingTimeService, KeyedStateStore, ExternalResourceInfoProvider) - 类的构造器org.apache.flink.ml.common.broadcast.BroadcastStreamingRuntimeContext
broadcastStreamNames - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: variables specific for withBroadcast functionality.
BroadcastUtils - org.apache.flink.ml.common.broadcast中的类: Utility class to support withBroadcast in DataStream.
BroadcastUtils() - 类的构造器org.apache.flink.ml.common.broadcast.BroadcastUtils
BroadcastVariableReceiverOperator<OUT> - org.apache.flink.ml.common.broadcast.operator中的类: The operator that process all broadcast inputs and stores them in BroadcastContext.
BroadcastVariableReceiverOperatorFactory<OUT> - org.apache.flink.ml.common.broadcast.operator中的类: Factory class for BroadcastVariableReceiverOperator.
BroadcastVariableReceiverOperatorFactory(String[], TypeInformation<?>[]) - 类的构造器org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperatorFactory
broadcastVariablesReady - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: whether all broadcast variables of this operator are ready.
BroadcastWrapper<T> - org.apache.flink.ml.common.broadcast.operator中的类: The operator wrapper for AbstractBroadcastWrapperOperator.
BroadcastWrapper(String[], TypeInformation<?>[]) - 类的构造器org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
BroadcastWrapper(String[], TypeInformation<?>[], boolean[]) - 类的构造器org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
buildAlgoOperator(TableId[], TableId[]) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: Wraps nodes of the graph into an AlgoOperator.
buildEstimator(TableId[], TableId[]) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: Wraps nodes of the graph into an Estimator.
buildEstimator(TableId[], TableId[], TableId[], TableId[]) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: Wraps nodes of the graph into an Estimator.
buildEstimator(TableId[], TableId[], TableId[], TableId[], TableId[]) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: Wraps nodes of the graph into an Estimator.
buildModel(TableId[], TableId[]) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: Wraps nodes of the graph into a Model.
buildModel(TableId[], TableId[], TableId[], TableId[]) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: Wraps nodes of the graph into a Model.

C

CacheElement<T> - org.apache.flink.ml.common.broadcast.typeinfo中的类: The wrapper class for possible cached elements used in AbstractBroadcastWrapperOperator.
CacheElement(T, long, CacheElement.Type) - 类的构造器org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
CacheElement.Type - org.apache.flink.ml.common.broadcast.typeinfo中的枚举: The type of cached elements.
CacheElementSerializer<T> - org.apache.flink.ml.common.broadcast.typeinfo中的类: TypeSerializer for CacheElement.
CacheElementSerializer(TypeSerializer<T>) - 类的构造器org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
CacheElementTypeInfo<T> - org.apache.flink.ml.common.broadcast.typeinfo中的类: TypeInformation for CacheElement.
CacheElementTypeInfo(TypeInformation<T>) - 类的构造器org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
canEqual(Object) - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
close() - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
containingTask - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
copy(DataInputView, DataOutputView) - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
copy(CacheElement<T>) - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
copy(CacheElement<T>, CacheElement<T>) - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
CountTumblingWindows - org.apache.flink.ml.common.window中的类: A windowing strategy that groups elements into fixed-size windows based on the count number of the elements.
createInstance() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
createSerializer(ExecutionConfig) - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
createStreamOperator(StreamOperatorParameters<OUT>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperatorFactory
createTableId() - 类中的方法org.apache.flink.ml.builder.GraphBuilder: Creates a TableId associated with this GraphBuilder.

D

dataCacheWriters - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: DataCacheWriter for each input.
DataStreamUtils - org.apache.flink.ml.common.datastream中的类: Provides utility functions for DataStream.
DataStreamUtils() - 类的构造器org.apache.flink.ml.common.datastream.DataStreamUtils
deserialize(DataInputView) - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
deserialize(CacheElement<T>, DataInputView) - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
duplicate() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer

E

endInput() - 类中的方法org.apache.flink.ml.common.broadcast.operator.OneInputBroadcastWrapperOperator
endInput(int) - 类中的方法org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperator
endInput(int) - 类中的方法org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
endInputX(int, ThrowingConsumer<StreamRecord, Exception>, ThrowingConsumer<Watermark, Exception>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: extracts common processing logic in subclasses' endInput(...).
EndOfStreamWindows - org.apache.flink.ml.common.datastream中的类: A WindowAssigner that assigns all elements of a bounded input stream into one window pane.
equals(Object) - 类中的方法org.apache.flink.ml.builder.GraphNode
equals(Object) - 类中的方法org.apache.flink.ml.builder.TableId
equals(Object) - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
equals(Object) - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
equals(Object) - 类中的方法org.apache.flink.ml.common.window.CountTumblingWindows
equals(Object) - 类中的方法org.apache.flink.ml.common.window.EventTimeSessionWindows
equals(Object) - 类中的方法org.apache.flink.ml.common.window.EventTimeTumblingWindows
equals(Object) - 类中的方法org.apache.flink.ml.common.window.GlobalWindows
equals(Object) - 类中的方法org.apache.flink.ml.common.window.ProcessingTimeSessionWindows
equals(Object) - 类中的方法org.apache.flink.ml.common.window.ProcessingTimeTumblingWindows
Estimator<E extends Estimator<E,M>,M extends Model<M>> - org.apache.flink.ml.api中的接口: Estimators are responsible for training and generating Models.
ESTIMATOR - org.apache.flink.ml.builder.GraphNode.StageType
estimatorInputIds - 类中的变量org.apache.flink.ml.builder.GraphData
estimatorInputIds - 类中的变量org.apache.flink.ml.builder.GraphNode
EventTimeSessionWindows - org.apache.flink.ml.common.window中的类: A windowing strategy that groups elements into sessions based on the timestamp of the elements.
EventTimeTumblingWindows - org.apache.flink.ml.common.window中的类: A windowing strategy that groups elements into fixed-size windows based on the timestamp of the elements.

F

finish() - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
fit(Table...) - 接口中的方法org.apache.flink.ml.api.Estimator: Trains on the given inputs and produces a Model.
fit(Table...) - 类中的方法org.apache.flink.ml.builder.Graph
fit(Table...) - 类中的方法org.apache.flink.ml.builder.Pipeline: Trains the pipeline to fit on the given tables.
flatMap(Double, Collector<Integer>) - 类中的方法org.apache.flink.ml.common.iteration.TerminateOnMaxIterOrTol
flatMap(T, Collector<Integer>) - 类中的方法org.apache.flink.ml.common.iteration.TerminateOnMaxIter
flatMap(T, Collector<T>) - 类中的方法org.apache.flink.ml.common.iteration.ForwardInputsOfLastRound
ForwardInputsOfLastRound<T> - org.apache.flink.ml.common.iteration中的类: A FlatMapFunction which forwards input values in the last round of the iteration to the output.
ForwardInputsOfLastRound() - 类的构造器org.apache.flink.ml.common.iteration.ForwardInputsOfLastRound
fromList(List<Integer>) - 类中的静态方法org.apache.flink.ml.builder.TableId
fromMap(Map<String, Object>) - 类中的静态方法org.apache.flink.ml.builder.GraphData
fromMap(Map<String, Object>) - 类中的静态方法org.apache.flink.ml.builder.GraphNode

G

generateBatchData(DataStream<T>, int, int) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Splits the input data into global batches of batchSize.
get() - 类中的静态方法org.apache.flink.ml.common.datastream.EndOfStreamWindows
getArity() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
getBroadcastVariable(String) - 类中的静态方法org.apache.flink.ml.common.broadcast.BroadcastContext
getBroadcastVariable(String) - 类中的方法org.apache.flink.ml.common.broadcast.BroadcastStreamingRuntimeContext
getBroadcastVariableWithInitializer(String, BroadcastVariableInitializer<T, C>) - 类中的方法org.apache.flink.ml.common.broadcast.BroadcastStreamingRuntimeContext
getColumnIndexes(ResolvedSchema, String[]) - 类中的静态方法org.apache.flink.ml.common.datastream.TableUtils
getCurrentKey() - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
getDefaultTrigger(StreamExecutionEnvironment) - 类中的方法org.apache.flink.ml.common.datastream.EndOfStreamWindows
getExecutionEnvironment(StreamTableEnvironment) - 类中的静态方法org.apache.flink.ml.common.datastream.TableUtils
getGap() - 类中的方法org.apache.flink.ml.common.window.EventTimeSessionWindows
getGap() - 类中的方法org.apache.flink.ml.common.window.ProcessingTimeSessionWindows
getInputs() - 类中的方法org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperator
getInstance() - 类中的静态方法org.apache.flink.ml.common.window.GlobalWindows: Gets a GlobalWindows instance.
getLength() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
getMetricGroup() - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
getModelData() - 接口中的方法org.apache.flink.ml.api.Model: Gets a list of tables representing the model data.
getModelData() - 类中的方法org.apache.flink.ml.builder.GraphModel
getModelDataFromEstimator(Estimator<?, ?>) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: When the graph runs as Estimator, it first generates a GraphModel that contains the Model fitted by the given Estimator.
getModelDataFromModel(Model<?>) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: When the graph runs as Estimator, the getModelData() of the given Model would be invoked.
getOperatorID() - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
getParamMap() - 类中的方法org.apache.flink.ml.builder.Graph
getParamMap() - 类中的方法org.apache.flink.ml.builder.GraphModel
getParamMap() - 类中的方法org.apache.flink.ml.builder.Pipeline
getParamMap() - 类中的方法org.apache.flink.ml.builder.PipelineModel
getRecord() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
getRowTypeInfo(ResolvedSchema) - 类中的静态方法org.apache.flink.ml.common.datastream.TableUtils
getSize() - 类中的方法org.apache.flink.ml.common.window.CountTumblingWindows
getSize() - 类中的方法org.apache.flink.ml.common.window.EventTimeTumblingWindows
getSize() - 类中的方法org.apache.flink.ml.common.window.ProcessingTimeTumblingWindows
getStreamOperatorClass(ClassLoader) - 类中的方法org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperatorFactory
getStreamOperatorClass(ClassLoader, StreamOperatorFactory<T>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
getTotalFields() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
getType() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
getTypeClass() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
getTypeInfoByName(ResolvedSchema, String) - 类中的静态方法org.apache.flink.ml.common.datastream.TableUtils
getWatermark() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
getWindowSerializer(ExecutionConfig) - 类中的方法org.apache.flink.ml.common.datastream.EndOfStreamWindows
getWrappedTypeInfo(TypeInformation<T>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
GlobalWindows - org.apache.flink.ml.common.window中的类: A windowing strategy that groups all elements into a single global window.
Graph - org.apache.flink.ml.builder中的类: A Graph acts as an Estimator.
Graph(List<GraphNode>, TableId[], TableId[], TableId[], TableId[], TableId[]) - 类的构造器org.apache.flink.ml.builder.Graph
GraphBuilder - org.apache.flink.ml.builder中的类: A GraphBuilder provides APIs to build Estimator/Model/AlgoOperator from a DAG of stages, each of which could be an Estimator, Model, Transformer or AlgoOperator.
GraphBuilder() - 类的构造器org.apache.flink.ml.builder.GraphBuilder
GraphData - org.apache.flink.ml.builder中的类: This class contains fields that can be used to re-construct Graph and GraphModel.
GraphData(List<GraphNode>, TableId[], TableId[], TableId[], TableId[], TableId[]) - 类的构造器org.apache.flink.ml.builder.GraphData
GraphModel - org.apache.flink.ml.builder中的类: A GraphModel acts as a Model.
GraphModel(List<GraphNode>, TableId[], TableId[], TableId[], TableId[]) - 类的构造器org.apache.flink.ml.builder.GraphModel
GraphNode - org.apache.flink.ml.builder中的类: The Graph node class.
GraphNode(int, Stage<?>, GraphNode.StageType, TableId[], TableId[], TableId[], TableId[], TableId[]) - 类的构造器org.apache.flink.ml.builder.GraphNode
GraphNode.StageType - org.apache.flink.ml.builder中的枚举: This class specifies whether a node should be used as Estimator or AlgoOperator.

H

hasBroadcastVariable(String) - 类中的方法org.apache.flink.ml.common.broadcast.BroadcastStreamingRuntimeContext
hashCode() - 类中的方法org.apache.flink.ml.builder.GraphNode
hashCode() - 类中的方法org.apache.flink.ml.builder.TableId
hashCode() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
hashCode() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
hashCode() - 类中的方法org.apache.flink.ml.common.window.CountTumblingWindows
hashCode() - 类中的方法org.apache.flink.ml.common.window.EventTimeSessionWindows
hashCode() - 类中的方法org.apache.flink.ml.common.window.EventTimeTumblingWindows
hashCode() - 类中的方法org.apache.flink.ml.common.window.GlobalWindows
hashCode() - 类中的方法org.apache.flink.ml.common.window.ProcessingTimeSessionWindows
hashCode() - 类中的方法org.apache.flink.ml.common.window.ProcessingTimeTumblingWindows
hasPendingElements - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: whether each input has pending elements.

I

id - 类中的变量org.apache.flink.ml.builder.TableId
indexOfSubtask - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: index of this subtask.
initializeState(StateInitializationContext) - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
initializeState(StateInitializationContext) - 类中的方法org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperator
initializeState(StreamTaskStateInitializer) - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
inputModelDataIds - 类中的变量org.apache.flink.ml.builder.GraphData
inputModelDataIds - 类中的变量org.apache.flink.ml.builder.GraphNode
inTypes - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: type information of each input.
isBasicType() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
isBlocked - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: whether each input is blocked.
isCacheFinished(String) - 类中的静态方法org.apache.flink.ml.common.broadcast.BroadcastContext
isEventTime() - 类中的方法org.apache.flink.ml.common.datastream.EndOfStreamWindows
isImmutableType() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
isKeyType() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
isTupleType() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo

J

jsonDecode(Object) - 类中的方法org.apache.flink.ml.param.WindowsParam
jsonEncode(Windows) - 类中的方法org.apache.flink.ml.param.WindowsParam

L

load(StreamTableEnvironment, String) - 类中的静态方法org.apache.flink.ml.builder.Graph
load(StreamTableEnvironment, String) - 类中的静态方法org.apache.flink.ml.builder.GraphModel
load(StreamTableEnvironment, String) - 类中的静态方法org.apache.flink.ml.builder.Pipeline
load(StreamTableEnvironment, String) - 类中的静态方法org.apache.flink.ml.builder.PipelineModel
loadGraph(StreamTableEnvironment, String, String) - 类中的静态方法org.apache.flink.ml.util.ReadWriteUtils: Loads a Graph or GraphModel from the given path.
loadModelData(StreamTableEnvironment, String, SimpleStreamFormat<T>) - 类中的静态方法org.apache.flink.ml.util.ReadWriteUtils: Loads the model data from the given path using the model decoder.
loadPipeline(StreamTableEnvironment, String, String) - 类中的静态方法org.apache.flink.ml.util.ReadWriteUtils: Loads the stages of a Pipeline or PipelineModel from the given path.
loadServable(String) - 类中的静态方法org.apache.flink.ml.builder.PipelineModel
loadStage(StreamTableEnvironment, String) - 类中的静态方法org.apache.flink.ml.util.ReadWriteUtils: Loads the stage from the given path by invoking the static load() method of the stage.
loadStageParam(String) - 类中的静态方法org.apache.flink.ml.util.ReadWriteUtils: Loads the stage with the saved parameters from the given path.

M

mailboxExecutor - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
mapPartition(DataStream<IN>, MapPartitionFunction<IN, OUT>) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Applies a MapPartitionFunction on a bounded data stream.
mapPartition(DataStream<IN>, MapPartitionFunction<IN, OUT>, TypeInformation<OUT>) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Applies a MapPartitionFunction on a bounded data stream.
metrics - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
Model<T extends Model<T>> - org.apache.flink.ml.api中的接口: A Model is typically generated by invoking Estimator.fit(Table...).
modelInputIds - 类中的变量org.apache.flink.ml.builder.GraphData

N

newRecord(T) - 类中的静态方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
newWatermark(long) - 类中的静态方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
nodeId - 类中的变量org.apache.flink.ml.builder.GraphNode
nodes - 类中的变量org.apache.flink.ml.builder.GraphData
notifyCacheFinished(String) - 类中的静态方法org.apache.flink.ml.common.broadcast.BroadcastContext
notifyCheckpointAborted(long) - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
notifyCheckpointComplete(long) - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
numInputs - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: number of the inputs of this operator.

O

OBJECT_MAPPER - 类中的静态变量org.apache.flink.ml.util.ReadWriteUtils
of(long) - 类中的静态方法org.apache.flink.ml.common.window.CountTumblingWindows: Creates a new CountTumblingWindows.
of(Time) - 类中的静态方法org.apache.flink.ml.common.window.EventTimeTumblingWindows: Creates a new EventTimeTumblingWindows.
of(Time) - 类中的静态方法org.apache.flink.ml.common.window.ProcessingTimeTumblingWindows: Creates a new ProcessingTimeTumblingWindows.
OneInputBroadcastWrapperOperator<IN,OUT> - org.apache.flink.ml.common.broadcast.operator中的类: Wrapper for OneInputStreamOperator.
onEpochWatermarkIncremented(int, IterationListener.Context, Collector<Integer>) - 类中的方法org.apache.flink.ml.common.iteration.TerminateOnMaxIter
onEpochWatermarkIncremented(int, IterationListener.Context, Collector<Integer>) - 类中的方法org.apache.flink.ml.common.iteration.TerminateOnMaxIterOrTol
onEpochWatermarkIncremented(int, IterationListener.Context, Collector<T>) - 类中的方法org.apache.flink.ml.common.iteration.ForwardInputsOfLastRound
onIterationTerminated(IterationListener.Context, Collector<Integer>) - 类中的方法org.apache.flink.ml.common.iteration.TerminateOnMaxIter
onIterationTerminated(IterationListener.Context, Collector<Integer>) - 类中的方法org.apache.flink.ml.common.iteration.TerminateOnMaxIterOrTol
onIterationTerminated(IterationListener.Context, Collector<T>) - 类中的方法org.apache.flink.ml.common.iteration.ForwardInputsOfLastRound
open() - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
operatorFactory - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
org.apache.flink.ml.api - 程序包 org.apache.flink.ml.api
org.apache.flink.ml.builder - 程序包 org.apache.flink.ml.builder
org.apache.flink.ml.common.broadcast - 程序包 org.apache.flink.ml.common.broadcast
org.apache.flink.ml.common.broadcast.operator - 程序包 org.apache.flink.ml.common.broadcast.operator
org.apache.flink.ml.common.broadcast.typeinfo - 程序包 org.apache.flink.ml.common.broadcast.typeinfo
org.apache.flink.ml.common.datastream - 程序包 org.apache.flink.ml.common.datastream
org.apache.flink.ml.common.iteration - 程序包 org.apache.flink.ml.common.iteration
org.apache.flink.ml.common.window - 程序包 org.apache.flink.ml.common.window
org.apache.flink.ml.param - 程序包 org.apache.flink.ml.param
org.apache.flink.ml.util - 程序包 org.apache.flink.ml.util
output - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
outputIds - 类中的变量org.apache.flink.ml.builder.GraphData
outputIds - 类中的变量org.apache.flink.ml.builder.GraphNode
outputModelDataIds - 类中的变量org.apache.flink.ml.builder.GraphData
outputModelDataIds - 类中的变量org.apache.flink.ml.builder.GraphNode

P

parameters - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
Pipeline - org.apache.flink.ml.builder中的类: A Pipeline acts as an Estimator.
Pipeline(List<Stage<?>>) - 类的构造器org.apache.flink.ml.builder.Pipeline
PipelineModel - org.apache.flink.ml.builder中的类: A PipelineModel acts as a Model.
PipelineModel(List<Stage<?>>) - 类的构造器org.apache.flink.ml.builder.PipelineModel
prepareSnapshotPreBarrier(long) - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
processElement(StreamRecord<IN>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.OneInputBroadcastWrapperOperator
processElement1(StreamRecord<IN1>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processElement2(StreamRecord<IN2>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processElementX(StreamRecord, int, ThrowingConsumer<StreamRecord, Exception>, ThrowingConsumer<Watermark, Exception>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: extracts common processing logic in subclasses' processing elements.
ProcessingTimeSessionWindows - org.apache.flink.ml.common.window中的类: A windowing strategy that groups elements into sessions based on the current system time of the machine the operation is running on.
ProcessingTimeTumblingWindows - org.apache.flink.ml.common.window中的类: A windowing strategy that groups elements into fixed-size windows based on the current system time of the machine the operation is running on.
processLatencyMarker(LatencyMarker) - 类中的方法org.apache.flink.ml.common.broadcast.operator.OneInputBroadcastWrapperOperator
processLatencyMarker1(LatencyMarker) - 类中的方法org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processLatencyMarker2(LatencyMarker) - 类中的方法org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processWatermark(Watermark) - 类中的方法org.apache.flink.ml.common.broadcast.operator.OneInputBroadcastWrapperOperator
processWatermark1(Watermark) - 类中的方法org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processWatermark2(Watermark) - 类中的方法org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processWatermarkStatus(WatermarkStatus) - 类中的方法org.apache.flink.ml.common.broadcast.operator.OneInputBroadcastWrapperOperator
processWatermarkStatus1(WatermarkStatus) - 类中的方法org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processWatermarkStatus2(WatermarkStatus) - 类中的方法org.apache.flink.ml.common.broadcast.operator.TwoInputBroadcastWrapperOperator
processWatermarkX(Watermark, int, ThrowingConsumer<StreamRecord, Exception>, ThrowingConsumer<Watermark, Exception>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator: extracts common processing logic in subclasses' processing watermarks.
putBroadcastVariable(String, Tuple2<Boolean, List<?>>) - 类中的静态方法org.apache.flink.ml.common.broadcast.BroadcastContext
putMailBoxExecutor(String, MailboxExecutor) - 类中的静态方法org.apache.flink.ml.common.broadcast.BroadcastContext

R

ReadWriteUtils - org.apache.flink.ml.util中的类: Utility methods for reading and writing stages.
ReadWriteUtils() - 类的构造器org.apache.flink.ml.util.ReadWriteUtils
RECORD - org.apache.flink.ml.common.broadcast.typeinfo.CacheElement.Type: record type.
reduce(DataStream<T>, ReduceFunction<T>) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Applies a ReduceFunction on a bounded data stream.
reduce(DataStream<T>, ReduceFunction<T>, TypeInformation<T>) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Applies a ReduceFunction on a bounded data stream.
reduce(KeyedStream<T, K>, ReduceFunction<T>) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Applies a ReduceFunction on a bounded keyed data stream.
reduce(KeyedStream<T, K>, ReduceFunction<T>, TypeInformation<T>) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Applies a ReduceFunction on a bounded keyed data stream.
remove(String) - 类中的静态方法org.apache.flink.ml.common.broadcast.BroadcastContext

S

sample(DataStream<T>, int, long) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Performs an approximate uniform sampling over the elements in a bounded data stream.
save(String) - 接口中的方法org.apache.flink.ml.api.Stage: Saves the metadata and bounded data of this stage to the given path.
save(String) - 类中的方法org.apache.flink.ml.builder.Graph
save(String) - 类中的方法org.apache.flink.ml.builder.GraphModel
save(String) - 类中的方法org.apache.flink.ml.builder.Pipeline
save(String) - 类中的方法org.apache.flink.ml.builder.PipelineModel
saveGraph(Stage<?>, GraphData, String) - 类中的静态方法org.apache.flink.ml.util.ReadWriteUtils: Saves a Graph or GraphModel with the given GraphData to the given path.
saveMetadata(Stage<?>, String) - 类中的静态方法org.apache.flink.ml.util.ReadWriteUtils: Saves the metadata of the given stage to a file named `metadata` under the given path.
saveMetadata(Stage<?>, String, Map<String, ?>) - 类中的静态方法org.apache.flink.ml.util.ReadWriteUtils: Saves the metadata of the given stage and the extra metadata to a file named `metadata` under the given path.
saveModelData(DataStream<T>, String, Encoder<T>) - 类中的静态方法org.apache.flink.ml.util.ReadWriteUtils: Saves the model data stream to the given path using the model encoder.
savePipeline(Stage<?>, List<Stage<?>>, String) - 类中的静态方法org.apache.flink.ml.util.ReadWriteUtils: Saves a Pipeline or PipelineModel with the given list of stages to the given path.
serialize(CacheElement<T>, DataOutputView) - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
setBroadcastVariable(String, List<?>) - 类中的方法org.apache.flink.ml.common.broadcast.BroadcastStreamingRuntimeContext
setCurrentKey(Object) - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
setKeyContextElement(StreamRecord<IN>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.OneInputBroadcastWrapperOperator
setKeyContextElement1(StreamRecord<?>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
setKeyContextElement2(StreamRecord<?>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
setManagedMemoryWeight(Transformation<T>, long) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Sets {Transformation#declareManagedMemoryUseCaseAtOperatorScope(ManagedMemoryUseCase, int)} using the given bytes for ManagedMemoryUseCase.OPERATOR.
setMaxOutputTableNum(int) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: Specifies the loose upper bound of the number of output tables that can be returned by the Model::getModelData() and AlgoOperator::transform() methods, for any stage involved in this Graph.
setModelData(Table...) - 接口中的方法org.apache.flink.ml.api.Model: Sets model data using the given list of tables.
setModelData(Table...) - 类中的方法org.apache.flink.ml.builder.GraphModel
setModelDataOnEstimator(Estimator<?, ?>, TableId...) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: When the graph runs as Estimator, it first generates a GraphModel that contains the Model fitted by the given Estimator.
setModelDataOnModel(Model<?>, TableId...) - 类中的方法org.apache.flink.ml.builder.GraphBuilder: When the graph runs as Estimator, the setModelData() of the given Model would be invoked with the given inputs before its transform() is invoked.
setRecord(T) - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
setType(CacheElement.Type) - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
setWatermark(long) - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElement
snapshotConfiguration() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementSerializer
snapshotState(long, long, CheckpointOptions, CheckpointStreamFactory) - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
snapshotState(StateSnapshotContext) - 类中的方法org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
snapshotState(StateSnapshotContext) - 类中的方法org.apache.flink.ml.common.broadcast.operator.BroadcastVariableReceiverOperator
stage - 类中的变量org.apache.flink.ml.builder.GraphNode
Stage<T extends Stage<T>> - org.apache.flink.ml.api中的接口: Base class for a node in a Pipeline or Graph.
stageType - 类中的变量org.apache.flink.ml.builder.GraphNode
stateHandler - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
streamConfig - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
supportServable() - 类中的方法org.apache.flink.ml.builder.PipelineModel: Whether all stages in the pipeline have corresponding TransformerServable so that the PipelineModel can be turned into a TransformerServable and used in an online inference program.

T

TableId - org.apache.flink.ml.builder中的类: The TableId is necessary to pass the inputs/outputs of various API calls across the nodes of Graph and GraphModel.
TableId(int) - 类的构造器org.apache.flink.ml.builder.TableId
TableUtils - org.apache.flink.ml.common.datastream中的类: Utility class for operations related to Table API.
TableUtils() - 类的构造器org.apache.flink.ml.common.datastream.TableUtils
TerminateOnMaxIter<T> - org.apache.flink.ml.common.iteration中的类: A FlatMapFunction that emits values iff the iteration's epochWatermark does not exceed a certain threshold.
TerminateOnMaxIter(int) - 类的构造器org.apache.flink.ml.common.iteration.TerminateOnMaxIter
TerminateOnMaxIterOrTol - org.apache.flink.ml.common.iteration中的类: A FlatMapFunction that emits values iff the iteration's epochWatermark does not exceed a certain threshold and the loss exceeds a certain tolerance.
TerminateOnMaxIterOrTol(Double) - 类的构造器org.apache.flink.ml.common.iteration.TerminateOnMaxIterOrTol
TerminateOnMaxIterOrTol(Integer, Double) - 类的构造器org.apache.flink.ml.common.iteration.TerminateOnMaxIterOrTol
timeServiceManager - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
toList(TableId[]) - 类中的静态方法org.apache.flink.ml.builder.TableId
toMap() - 类中的方法org.apache.flink.ml.builder.GraphData
toMap() - 类中的方法org.apache.flink.ml.builder.GraphNode
toString() - 类中的方法org.apache.flink.ml.builder.GraphNode
toString() - 类中的方法org.apache.flink.ml.builder.TableId
toString() - 类中的方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElementTypeInfo
toString() - 类中的方法org.apache.flink.ml.common.datastream.EndOfStreamWindows
transform(Table...) - 接口中的方法org.apache.flink.ml.api.AlgoOperator: Applies the AlgoOperator on the given input tables and returns the result tables.
transform(Table...) - 类中的方法org.apache.flink.ml.builder.GraphModel
transform(Table...) - 类中的方法org.apache.flink.ml.builder.PipelineModel: Applies all stages in this PipelineModel on the input tables in order.
Transformer<T extends Transformer<T>> - org.apache.flink.ml.api中的接口: A Transformer is an AlgoOperator with the semantic difference that it encodes the Transformation logic, such that a record in the output typically corresponds to one record in the input.
TwoInputBroadcastWrapperOperator<IN1,IN2,OUT> - org.apache.flink.ml.common.broadcast.operator中的类: Wrapper for TwoInputStreamOperator.

V

valueOf(String) - 枚举中的静态方法org.apache.flink.ml.builder.GraphNode.StageType: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElement.Type: 返回带有指定名称的该类型的枚举常量。
values() - 枚举中的静态方法org.apache.flink.ml.builder.GraphNode.StageType: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.apache.flink.ml.common.broadcast.typeinfo.CacheElement.Type: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。

W

WATERMARK - org.apache.flink.ml.common.broadcast.typeinfo.CacheElement.Type: watermark type.
windowAllAndProcess(DataStream<IN>, Windows, ProcessAllWindowFunction<IN, OUT, W>) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Creates windows from data in the non key grouped input stream and applies the given window function to each window.
windowAllAndProcess(DataStream<IN>, Windows, ProcessAllWindowFunction<IN, OUT, W>, TypeInformation<OUT>) - 类中的静态方法org.apache.flink.ml.common.datastream.DataStreamUtils: Creates windows from data in the non key grouped input stream and applies the given window function to each window.
Windows - org.apache.flink.ml.common.window中的接口: Windowing strategy that determines how to create mini-batches from input data.
WindowsParam - org.apache.flink.ml.param中的类: Class for the Windows parameter.
WindowsParam(String, String, Windows, ParamValidator<Windows>) - 类的构造器org.apache.flink.ml.param.WindowsParam
withBroadcastStream(List<DataStream<?>>, Map<String, DataStream<?>>, Function<List<DataStream<?>>, DataStream<OUT>>) - 类中的静态方法org.apache.flink.ml.common.broadcast.BroadcastUtils: supports withBroadcastStream in DataStream API.
withGap(Time) - 类中的静态方法org.apache.flink.ml.common.window.EventTimeSessionWindows: Creates a new EventTimeSessionWindows.
withGap(Time) - 类中的静态方法org.apache.flink.ml.common.window.ProcessingTimeSessionWindows: Creates a new ProcessingTimeSessionWindows.
wrap(StreamOperatorParameters<T>, StreamOperatorFactory<T>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
wrapKeySelector(KeySelector<T, KEY>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
wrapOutputTag(OutputTag<T>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper
wrappedOperator - 类中的变量org.apache.flink.ml.common.broadcast.operator.AbstractBroadcastWrapperOperator
wrapStreamPartitioner(StreamPartitioner<T>) - 类中的方法org.apache.flink.ml.common.broadcast.operator.BroadcastWrapper

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