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Object org.apache.spark.ml.PipelineStage org.apache.spark.ml.Estimator<StandardScalerModel> org.apache.spark.ml.feature.StandardScaler
public class StandardScaler
:: Experimental :: Standardizes features by removing the mean and scaling to unit variance using column summary statistics on the samples in the training set.
Constructor Summary | |
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StandardScaler()
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StandardScaler(String uid)
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Method Summary | |
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StandardScaler |
copy(ParamMap extra)
Creates a copy of this instance with the same UID and some extra params. |
StandardScalerModel |
fit(DataFrame dataset)
Fits a model to the input data. |
StandardScaler |
setInputCol(String value)
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StandardScaler |
setOutputCol(String value)
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StandardScaler |
setWithMean(boolean value)
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StandardScaler |
setWithStd(boolean value)
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StructType |
transformSchema(StructType schema)
:: DeveloperApi :: |
String |
uid()
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BooleanParam |
withMean()
Centers the data with mean before scaling. |
BooleanParam |
withStd()
Scales the data to unit standard deviation. |
Methods inherited from class org.apache.spark.ml.Estimator |
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fit, fit, fit, fit |
Methods inherited from class Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Methods inherited from interface org.apache.spark.ml.param.Params |
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clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, setDefault, shouldOwn, validateParams |
Methods inherited from interface org.apache.spark.Logging |
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initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning |
Constructor Detail |
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public StandardScaler(String uid)
public StandardScaler()
Method Detail |
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public String uid()
public StandardScaler setInputCol(String value)
public StandardScaler setOutputCol(String value)
public StandardScaler setWithMean(boolean value)
public StandardScaler setWithStd(boolean value)
public StandardScalerModel fit(DataFrame dataset)
Estimator
fit
in class Estimator<StandardScalerModel>
dataset
- (undocumented)
public StructType transformSchema(StructType schema)
PipelineStage
Derives the output schema from the input schema.
transformSchema
in class PipelineStage
schema
- (undocumented)
public StandardScaler copy(ParamMap extra)
Params
copy
in interface Params
copy
in class Estimator<StandardScalerModel>
extra
- (undocumented)
defaultCopy()
public BooleanParam withMean()
public BooleanParam withStd()
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