org.apache.spark.ml.clustering

Class LocalLDAModel

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

org.apache.spark.ml.Model<LDAModel>

org.apache.spark.ml.clustering.LDAModel

org.apache.spark.ml.clustering.LocalLDAModel

All Implemented Interfaces:

java.io.Serializable, org.apache.spark.internal.Logging, LDAParams, Params, HasCheckpointInterval, HasFeaturesCol, HasMaxIter, HasSeed, Identifiable, MLWritable

public class LocalLDAModel
extends LDAModel

Local (non-distributed) model fitted by LDA.

This model stores the inferred topics only; it does not store info about the training dataset.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from interface org.apache.spark.internal.Logging

org.apache.spark.internal.Logging.SparkShellLoggingFilter

Method Summary

Modifier and Type	Method and Description
LocalLDAModel	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
boolean	isDistributed() Indicates whether this instance is of type DistributedLDAModel
static LocalLDAModel	load(String path)
static MLReader<LocalLDAModel>	read()
String	toString()
MLWriter	write() Returns an MLWriter instance for this ML instance.

Methods inherited from class org.apache.spark.ml.clustering.LDAModel

checkpointInterval, describeTopics, describeTopics, docConcentration, estimatedDocConcentration, featuresCol, k, keepLastCheckpoint, learningDecay, learningOffset, logLikelihood, logPerplexity, maxIter, optimizeDocConcentration, optimizer, seed, setFeaturesCol, setSeed, setTopicDistributionCol, subsamplingRate, supportedOptimizers, topicConcentration, topicDistributionCol, topicsMatrix, transform, transformSchema, uid, vocabSize

Methods inherited from class org.apache.spark.ml.Model

hasParent, parent, setParent

Methods inherited from class org.apache.spark.ml.Transformer

transform, transform, transform

Methods inherited from class org.apache.spark.ml.PipelineStage

params

Methods inherited from class Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.apache.spark.ml.clustering.LDAParams

getDocConcentration, getK, getKeepLastCheckpoint, getLearningDecay, getLearningOffset, getOldDocConcentration, getOldOptimizer, getOldTopicConcentration, getOptimizeDocConcentration, getOptimizer, getSubsamplingRate, getTopicConcentration, getTopicDistributionCol, validateAndTransformSchema

Methods inherited from interface org.apache.spark.ml.param.shared.HasFeaturesCol

getFeaturesCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasMaxIter

getMaxIter

Methods inherited from interface org.apache.spark.ml.param.shared.HasSeed

getSeed

Methods inherited from interface org.apache.spark.ml.param.shared.HasCheckpointInterval

getCheckpointInterval

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

Methods inherited from interface org.apache.spark.internal.Logging

$init$, initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, initLock, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, org$apache$spark$internal$Logging$$log__$eq, org$apache$spark$internal$Logging$$log_, uninitialize

Methods inherited from interface org.apache.spark.ml.util.MLWritable

save

Method Detail

read

public static MLReader<LocalLDAModel> read()

load

public static LocalLDAModel load(String path)

copy

public LocalLDAModel copy(ParamMap extra)

Description copied from interface: Params

Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly. See defaultCopy().

Specified by:

copy in interface Params

Specified by:

copy in class Model<LDAModel>

Parameters:

extra - (undocumented)

Returns:

(undocumented)

isDistributed

public boolean isDistributed()

Description copied from class: LDAModel

Indicates whether this instance is of type DistributedLDAModel

Specified by:

isDistributed in class LDAModel

write

public MLWriter write()

Description copied from interface: MLWritable

Returns an MLWriter instance for this ML instance.

Returns:

(undocumented)

toString

public String toString()

Specified by:

toString in interface Identifiable

Overrides:

toString in class Object