Class VectorSlicer
- All Implemented Interfaces:
Serializable,org.apache.spark.internal.Logging,Params,HasInputCol,HasOutputCol,DefaultParamsWritable,Identifiable,MLWritable
The subset of features can be specified with either indices (setIndices())
or names (setNames()). At least one feature must be selected. Duplicate features
are not allowed, so there can be no overlap between selected indices and names.
The output vector will order features with the selected indices first (in the order given), followed by the selected names (in the order given).
- See Also:
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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 -
Method Summary
Modifier and TypeMethodDescriptionCreates a copy of this instance with the same UID and some extra params.int[]String[]getNames()indices()An array of indices to select features from a vector column.inputCol()Param for input column name.static VectorSlicernames()An array of feature names to select features from a vector column.Param for output column name.static MLReader<T>read()setIndices(int[] value) setInputCol(String value) setOutputCol(String value) toString()Transforms the input dataset.transformSchema(StructType schema) Check transform validity and derive the output schema from the input schema.uid()An immutable unique ID for the object and its derivatives.Methods inherited from class org.apache.spark.ml.Transformer
transform, transform, transformMethods inherited from class org.apache.spark.ml.PipelineStage
paramsMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, waitMethods inherited from interface org.apache.spark.ml.util.DefaultParamsWritable
writeMethods inherited from interface org.apache.spark.ml.param.shared.HasInputCol
getInputColMethods inherited from interface org.apache.spark.ml.param.shared.HasOutputCol
getOutputColMethods inherited from interface org.apache.spark.internal.Logging
initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, isTraceEnabled, log, logDebug, logDebug, logDebug, logDebug, logError, logError, logError, logError, logInfo, logInfo, logInfo, logInfo, logName, LogStringContext, logTrace, logTrace, logTrace, logTrace, logWarning, logWarning, logWarning, logWarning, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq, withLogContextMethods inherited from interface org.apache.spark.ml.util.MLWritable
saveMethods 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
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Constructor Details
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VectorSlicer
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VectorSlicer
public VectorSlicer()
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Method Details
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load
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read
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outputCol
Description copied from interface:HasOutputColParam for output column name.- Specified by:
outputColin interfaceHasOutputCol- Returns:
- (undocumented)
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inputCol
Description copied from interface:HasInputColParam for input column name.- Specified by:
inputColin interfaceHasInputCol- Returns:
- (undocumented)
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uid
Description copied from interface:IdentifiableAn immutable unique ID for the object and its derivatives.- Specified by:
uidin interfaceIdentifiable- Returns:
- (undocumented)
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indices
An array of indices to select features from a vector column. There can be no overlap withnames(). Default: Empty array- Returns:
- (undocumented)
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getIndices
public int[] getIndices() -
setIndices
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names
An array of feature names to select features from a vector column. These names must be specified by MLAttributes. There can be no overlap withindices(). Default: Empty Array- Returns:
- (undocumented)
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getNames
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setNames
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setInputCol
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setOutputCol
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transform
Description copied from class:TransformerTransforms the input dataset.- Specified by:
transformin classTransformer- Parameters:
dataset- (undocumented)- Returns:
- (undocumented)
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transformSchema
Description copied from class:PipelineStageCheck transform validity and derive the output schema from the input schema.We check validity for interactions between parameters during
transformSchemaand raise an exception if any parameter value is invalid. Parameter value checks which do not depend on other parameters are handled byParam.validate().Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.
- Specified by:
transformSchemain classPipelineStage- Parameters:
schema- (undocumented)- Returns:
- (undocumented)
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copy
Description copied from interface:ParamsCreates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly. SeedefaultCopy().- Specified by:
copyin interfaceParams- Specified by:
copyin classTransformer- Parameters:
extra- (undocumented)- Returns:
- (undocumented)
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toString
- Specified by:
toStringin interfaceIdentifiable- Overrides:
toStringin classObject
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