Package org.apache.spark.ml.feature
Interface MinMaxScalerParams
- All Superinterfaces:
- HasInputCol,- HasOutputCol,- Identifiable,- Params,- Serializable
- All Known Implementing Classes:
- MinMaxScaler,- MinMaxScalerModel
Params for 
MinMaxScaler and MinMaxScalerModel.- 
Method SummaryModifier and TypeMethodDescriptiondoublegetMax()doublegetMin()max()upper bound after transformation, shared by all features Default: 1.0min()lower bound after transformation, shared by all features Default: 0.0validateAndTransformSchema(StructType schema) Validates and transforms the input schema.Methods inherited from interface org.apache.spark.ml.param.shared.HasInputColgetInputCol, inputColMethods inherited from interface org.apache.spark.ml.param.shared.HasOutputColgetOutputCol, outputColMethods inherited from interface org.apache.spark.ml.util.IdentifiabletoString, uidMethods inherited from interface org.apache.spark.ml.param.Paramsclear, copy, 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- 
getMaxdouble getMax()
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getMindouble getMin()
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maxDoubleParam max()upper bound after transformation, shared by all features Default: 1.0- Returns:
- (undocumented)
 
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minDoubleParam min()lower bound after transformation, shared by all features Default: 0.0- Returns:
- (undocumented)
 
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validateAndTransformSchemaValidates and transforms the input schema.
 
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