org.apache.spark.ml.feature

Class PCAModel

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

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

org.apache.spark.ml.feature.PCAModel

All Implemented Interfaces:

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

public class PCAModel
extends Model<PCAModel>
implements PCAParams, MLWritable

Model fitted by PCA. Transforms vectors to a lower dimensional space.

param: pc A principal components Matrix. Each column is one principal component. param: explainedVariance A vector of proportions of variance explained by each principal component.

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
PCAModel	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
DenseVector	explainedVariance()
Param<String>	inputCol() Param for input column name.
IntParam	k() The number of principal components.
static PCAModel	load(String path)
Param<String>	outputCol() Param for output column name.
DenseMatrix	pc()
static MLReader<PCAModel>	read()
PCAModel	setInputCol(String value)
PCAModel	setOutputCol(String value)
String	toString()
Dataset<Row>	transform(Dataset<?> dataset) Transform a vector by computed Principal Components.
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.
MLWriter	write() Returns an MLWriter instance for this ML instance.

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.feature.PCAParams

getK, validateAndTransformSchema

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.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.ml.util.MLWritable

save

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

Method Detail

read

public static MLReader<PCAModel> read()

load

public static PCAModel load(String path)

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)

pc

public DenseMatrix pc()

explainedVariance

public DenseVector explainedVariance()

setInputCol

public PCAModel setInputCol(String value)

setOutputCol

public PCAModel setOutputCol(String value)

transform

public Dataset<Row> transform(Dataset<?> dataset)

Transform a vector by computed Principal Components.

Specified by:

transform in class Transformer

Parameters:

dataset - (undocumented)

Returns:

(undocumented)

Note:

Vectors to be transformed must be the same length as the source vectors given to PCA.fit().

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 PCAModel 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<PCAModel>

Parameters:

extra - (undocumented)

Returns:

(undocumented)

write

public MLWriter write()

Description copied from interface: MLWritable

Returns an MLWriter instance for this ML instance.

Specified by:

write in interface MLWritable

Returns:

(undocumented)

toString

public String toString()

Specified by:

toString in interface Identifiable

Overrides:

toString in class Object