Package org.apache.spark.ml.feature

Class PCA

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Estimator<PCAModel>

org.apache.spark.ml.feature.PCA

All Implemented Interfaces:

Serializable, org.apache.spark.internal.Logging, PCAParams, Params, HasInputCol, HasOutputCol, DefaultParamsWritable, Identifiable, MLWritable

public class PCA
extends Estimator<PCAModel>
implements PCAParams, DefaultParamsWritable

PCA trains a model to project vectors to a lower dimensional space of the top PCA!.k principal components.

See Also:

• Serialized Form

Nested Class Summary

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

org.apache.spark.internal.Logging.LogStringContext, org.apache.spark.internal.Logging.SparkShellLoggingFilter

Constructor Summary

Constructors

Constructor	Description
PCA()
PCA(String uid)

Method Summary

Modifier and Type	Method	Description
PCA	copy(ParamMap extra)	Creates a copy of this instance with the same UID and some extra params.
PCAModel	fit(Dataset<?> dataset)	Computes a PCAModel that contains the principal components of the input vectors.
final Param<String>	inputCol()	Param for input column name.
final IntParam	k()	The number of principal components.
static PCA	load(String path)
final Param<String>	outputCol()	Param for output column name.
static MLReader<T>	read()
PCA	setInputCol(String value)
PCA	setK(int value)
PCA	setOutputCol(String value)
StructType	transformSchema(StructType schema)	Check transform validity and derive the output schema from the input schema.
String	uid()	An immutable unique ID for the object and its derivatives.

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

fit, fit, fit, fit

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

params

Methods inherited from class java.lang.Object

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

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

write

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

getInputCol

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

getOutputCol

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

toString

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

initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, isTraceEnabled, log, logBasedOnLevel, logDebug, logDebug, logDebug, logDebug, logError, logError, logError, logError, logInfo, logInfo, logInfo, logInfo, logName, LogStringContext, logTrace, logTrace, logTrace, logTrace, logWarning, logWarning, logWarning, logWarning, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq, withLogContext

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

save

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

clear, copyValues, defaultCopy, defaultParamMap, estimateMatadataSize, 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.ml.feature.PCAParams

getK, validateAndTransformSchema

Constructor Details

PCA

public PCA(String uid)

PCA

public PCA()

Method Details

load

public static PCA load(String path)

read

public static MLReader<T> read()

k

public final IntParam k()

Description copied from interface: PCAParams

The number of principal components.

Specified by:

k in interface PCAParams

Returns:

(undocumented)

outputCol

public final Param<String> outputCol()

Description copied from interface: HasOutputCol

Param for output column name.

Specified by:

outputCol in interface HasOutputCol

Returns:

(undocumented)

inputCol

public final Param<String> inputCol()

Description copied from interface: HasInputCol

Param for input column name.

Specified by:

inputCol in interface HasInputCol

Returns:

(undocumented)

uid

public String uid()

Description copied from interface: Identifiable

An immutable unique ID for the object and its derivatives.

Specified by:

uid in interface Identifiable

Returns:

(undocumented)

setInputCol

public PCA setInputCol(String value)

setOutputCol

public PCA setOutputCol(String value)

setK

public PCA setK(int value)

fit

public PCAModel fit(Dataset<?> dataset)

Computes a PCAModel that contains the principal components of the input vectors.

Specified by:

fit in class Estimator<PCAModel>

Parameters:

dataset - (undocumented)

Returns:

(undocumented)

transformSchema

public StructType transformSchema(StructType schema)

Description copied from class: PipelineStage

Check transform validity and derive the output schema from the input schema.

We check validity for interactions between parameters during transformSchema and raise an exception if any parameter value is invalid. Parameter value checks which do not depend on other parameters are handled by Param.validate().

Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.

Specified by:

transformSchema in class PipelineStage

Parameters:

schema - (undocumented)

Returns:

(undocumented)

copy

public PCA 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 Estimator<PCAModel>

Parameters:

extra - (undocumented)

Returns:

(undocumented)