Package org.apache.spark.ml.feature
Class ChiSqSelectorModel
Object
org.apache.spark.ml.PipelineStage
org.apache.spark.ml.Transformer
org.apache.spark.ml.Model<T>
org.apache.spark.ml.feature.SelectorModel<ChiSqSelectorModel>
org.apache.spark.ml.feature.ChiSqSelectorModel
- All Implemented Interfaces:
Serializable,org.apache.spark.internal.Logging,org.apache.spark.ml.feature.SelectorParams,Params,HasFeaturesCol,HasLabelCol,HasOutputCol,Identifiable,MLWritable
public final class ChiSqSelectorModel
extends org.apache.spark.ml.feature.SelectorModel<ChiSqSelectorModel>
Model fitted by
ChiSqSelector.- See Also:
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic classstatic classNested classes/interfaces inherited from interface org.apache.spark.internal.Logging
org.apache.spark.internal.Logging.LogStringContext, org.apache.spark.internal.Logging.SparkShellLoggingFilter -
Method Summary
Modifier and TypeMethodDescriptionCreates a copy of this instance with the same UID and some extra params.static ChiSqSelectorModelstatic MLReader<ChiSqSelectorModel>read()int[]setFeaturesCol(String value) setOutputCol(String value) toString()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.write()Returns anMLWriterinstance for this ML instance.Methods inherited from class org.apache.spark.ml.feature.SelectorModel
compressSparse, fdr, featuresCol, fpr, fwe, getFdr, getFeaturesCol, getFpr, getFwe, getLabelCol, getNumTopFeatures, getOutputCol, getPercentile, getSelectorType, labelCol, numTopFeatures, org$apache$spark$ml$feature$SelectorParams$_setter_$fdr_$eq, org$apache$spark$ml$feature$SelectorParams$_setter_$fpr_$eq, org$apache$spark$ml$feature$SelectorParams$_setter_$fwe_$eq, org$apache$spark$ml$feature$SelectorParams$_setter_$numTopFeatures_$eq, org$apache$spark$ml$feature$SelectorParams$_setter_$percentile_$eq, org$apache$spark$ml$feature$SelectorParams$_setter_$selectorType_$eq, org$apache$spark$ml$param$shared$HasFeaturesCol$_setter_$featuresCol_$eq, org$apache$spark$ml$param$shared$HasLabelCol$_setter_$labelCol_$eq, org$apache$spark$ml$param$shared$HasOutputCol$_setter_$outputCol_$eq, outputCol, percentile, prepOutputField, save, selectorType, transformMethods inherited from class org.apache.spark.ml.Transformer
transform, transform, transformMethods inherited from class org.apache.spark.ml.PipelineStage
paramsMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, waitMethods inherited from interface org.apache.spark.internal.Logging
initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, isTraceEnabled, log, logBasedOnLevel, logDebug, logDebug, logDebug, logDebug, logError, logError, logError, logError, logInfo, logInfo, logInfo, logInfo, logName, LogStringContext, logTrace, logTrace, logTrace, logTrace, logWarning, logWarning, logWarning, logWarning, MDC, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq, withLogContextMethods 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
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Method Details
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read
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load
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uid
Description copied from interface:IdentifiableAn immutable unique ID for the object and its derivatives.- Specified by:
uidin interfaceIdentifiable- Overrides:
uidin classorg.apache.spark.ml.feature.SelectorModel<ChiSqSelectorModel>- Returns:
- (undocumented)
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selectedFeatures
public int[] selectedFeatures()- Overrides:
selectedFeaturesin classorg.apache.spark.ml.feature.SelectorModel<ChiSqSelectorModel>
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setFeaturesCol
- Overrides:
setFeaturesColin classorg.apache.spark.ml.feature.SelectorModel<ChiSqSelectorModel>
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setOutputCol
- Overrides:
setOutputColin classorg.apache.spark.ml.feature.SelectorModel<ChiSqSelectorModel>
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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.
- Overrides:
transformSchemain classorg.apache.spark.ml.feature.SelectorModel<ChiSqSelectorModel>- 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 classModel<ChiSqSelectorModel>- Parameters:
extra- (undocumented)- Returns:
- (undocumented)
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write
Description copied from interface:MLWritableReturns anMLWriterinstance for this ML instance.- Returns:
- (undocumented)
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toString
- Specified by:
toStringin interfaceIdentifiable- Overrides:
toStringin classObject
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