public class PCA extends Estimator<PCAModel> implements PCAParams, DefaultParamsWritable
PCA!.k
principal components.| Modifier and Type | Method and 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. |
Param<String> |
inputCol()
Param for input column name.
|
IntParam |
k()
The number of principal components.
|
static PCA |
load(String path) |
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.
|
paramsequals, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitgetK, validateAndTransformSchemagetInputColgetOutputColclear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwntoStringwritesave$init$, 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_, uninitializepublic static PCA load(String path)
public static MLReader<T> read()
public final IntParam k()
PCAParamspublic final Param<String> outputCol()
HasOutputColoutputCol in interface HasOutputColpublic final Param<String> inputCol()
HasInputColinputCol in interface HasInputColpublic String uid()
Identifiableuid in interface Identifiablepublic PCA setInputCol(String value)
public PCA setOutputCol(String value)
public PCA setK(int value)
public PCAModel fit(Dataset<?> dataset)
PCAModel that contains the principal components of the input vectors.public StructType transformSchema(StructType schema)
PipelineStage
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.
transformSchema in class PipelineStageschema - (undocumented)