Bucketizer (Spark 3.5.5 JavaDoc) (original) (raw)
Object
- org.apache.spark.ml.PipelineStage
- org.apache.spark.ml.Transformer
- org.apache.spark.ml.Model<Bucketizer>
* * org.apache.spark.ml.feature.Bucketizer
- org.apache.spark.ml.Model<Bucketizer>
- org.apache.spark.ml.Transformer
All Implemented Interfaces:
java.io.Serializable, org.apache.spark.internal.Logging, Params, HasHandleInvalid, HasInputCol, HasInputCols, HasOutputCol, HasOutputCols, DefaultParamsWritable, Identifiable, MLWritable
public final class Bucketizer
extends Model<Bucketizer>
implements HasHandleInvalid, HasInputCol, HasOutputCol, HasInputCols, HasOutputCols, DefaultParamsWritableBucketizer maps a column of continuous features to a column of feature buckets.
Since 2.3.0,Bucketizer can map multiple columns at once by setting the inputCols parameter. Note that when both the inputCol and inputCols parameters are set, an Exception will be thrown. Thesplits parameter is only used for single column usage, and splitsArray is for multiple columns.
See Also:
Serialized Form
Nested Class Summary
* ### Nested classes/interfaces inherited from interface org.apache.spark.internal.Logging `org.apache.spark.internal.Logging.SparkShellLoggingFilter`Constructor Summary
Constructors
Constructor and Description Bucketizer() Bucketizer(String uid) Method Summary
All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type Method and Description Bucketizer copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params. double[] getSplits() double[][] getSplitsArray() Param handleInvalid() Param for how to handle invalid entries containing NaN values. Param inputCol() Param for input column name. StringArrayParam inputCols() Param for input column names. static Bucketizer load(String path) Param outputCol() Param for output column name. StringArrayParam outputCols() Param for output column names. static MLReader read() Bucketizer setHandleInvalid(String value) Bucketizer setInputCol(String value) Bucketizer setInputCols(String[] value) Bucketizer setOutputCol(String value) Bucketizer setOutputCols(String[] value) Bucketizer setSplits(double[] value) Bucketizer setSplitsArray(double[][] value) DoubleArrayParam splits() Parameter for mapping continuous features into buckets. DoubleArrayArrayParam splitsArray() Parameter for specifying multiple splits parameters. String toString() Dataset<Row> transform(Dataset<?> dataset) Transforms the input dataset. 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. * ### Methods inherited from class org.apache.spark.ml.[Model](../../../../../org/apache/spark/ml/Model.html "class in org.apache.spark.ml") `[hasParent](../../../../../org/apache/spark/ml/Model.html#hasParent--), [parent](../../../../../org/apache/spark/ml/Model.html#parent--), [setParent](../../../../../org/apache/spark/ml/Model.html#setParent-org.apache.spark.ml.Estimator-)` * ### Methods inherited from class org.apache.spark.ml.[Transformer](../../../../../org/apache/spark/ml/Transformer.html "class in org.apache.spark.ml") `[transform](../../../../../org/apache/spark/ml/Transformer.html#transform-org.apache.spark.sql.Dataset-org.apache.spark.ml.param.ParamMap-), [transform](../../../../../org/apache/spark/ml/Transformer.html#transform-org.apache.spark.sql.Dataset-org.apache.spark.ml.param.ParamPair-org.apache.spark.ml.param.ParamPair...-), [transform](../../../../../org/apache/spark/ml/Transformer.html#transform-org.apache.spark.sql.Dataset-org.apache.spark.ml.param.ParamPair-scala.collection.Seq-)` * ### Methods inherited from class org.apache.spark.ml.[PipelineStage](../../../../../org/apache/spark/ml/PipelineStage.html "class in org.apache.spark.ml") `[params](../../../../../org/apache/spark/ml/PipelineStage.html#params--)` * ### Methods inherited from class Object `equals, getClass, hashCode, notify, notifyAll, wait, wait, wait` * ### Methods inherited from interface org.apache.spark.ml.param.shared.[HasHandleInvalid](../../../../../org/apache/spark/ml/param/shared/HasHandleInvalid.html "interface in org.apache.spark.ml.param.shared") `[getHandleInvalid](../../../../../org/apache/spark/ml/param/shared/HasHandleInvalid.html#getHandleInvalid--)` * ### Methods inherited from interface org.apache.spark.ml.param.shared.[HasInputCol](../../../../../org/apache/spark/ml/param/shared/HasInputCol.html "interface in org.apache.spark.ml.param.shared") `[getInputCol](../../../../../org/apache/spark/ml/param/shared/HasInputCol.html#getInputCol--)` * ### Methods inherited from interface org.apache.spark.ml.param.shared.[HasOutputCol](../../../../../org/apache/spark/ml/param/shared/HasOutputCol.html "interface in org.apache.spark.ml.param.shared") `[getOutputCol](../../../../../org/apache/spark/ml/param/shared/HasOutputCol.html#getOutputCol--)` * ### Methods inherited from interface org.apache.spark.ml.param.shared.[HasInputCols](../../../../../org/apache/spark/ml/param/shared/HasInputCols.html "interface in org.apache.spark.ml.param.shared") `[getInputCols](../../../../../org/apache/spark/ml/param/shared/HasInputCols.html#getInputCols--)` * ### Methods inherited from interface org.apache.spark.ml.param.shared.[HasOutputCols](../../../../../org/apache/spark/ml/param/shared/HasOutputCols.html "interface in org.apache.spark.ml.param.shared") `[getOutputCols](../../../../../org/apache/spark/ml/param/shared/HasOutputCols.html#getOutputCols--)` * ### Methods inherited from interface org.apache.spark.ml.param.[Params](../../../../../org/apache/spark/ml/param/Params.html "interface in org.apache.spark.ml.param") `[clear](../../../../../org/apache/spark/ml/param/Params.html#clear-org.apache.spark.ml.param.Param-), [copyValues](../../../../../org/apache/spark/ml/param/Params.html#copyValues-T-org.apache.spark.ml.param.ParamMap-), [defaultCopy](../../../../../org/apache/spark/ml/param/Params.html#defaultCopy-org.apache.spark.ml.param.ParamMap-), [defaultParamMap](../../../../../org/apache/spark/ml/param/Params.html#defaultParamMap--), [explainParam](../../../../../org/apache/spark/ml/param/Params.html#explainParam-org.apache.spark.ml.param.Param-), [explainParams](../../../../../org/apache/spark/ml/param/Params.html#explainParams--), [extractParamMap](../../../../../org/apache/spark/ml/param/Params.html#extractParamMap--), [extractParamMap](../../../../../org/apache/spark/ml/param/Params.html#extractParamMap-org.apache.spark.ml.param.ParamMap-), [get](../../../../../org/apache/spark/ml/param/Params.html#get-org.apache.spark.ml.param.Param-), [getDefault](../../../../../org/apache/spark/ml/param/Params.html#getDefault-org.apache.spark.ml.param.Param-), [getOrDefault](../../../../../org/apache/spark/ml/param/Params.html#getOrDefault-org.apache.spark.ml.param.Param-), [getParam](../../../../../org/apache/spark/ml/param/Params.html#getParam-java.lang.String-), [hasDefault](../../../../../org/apache/spark/ml/param/Params.html#hasDefault-org.apache.spark.ml.param.Param-), [hasParam](../../../../../org/apache/spark/ml/param/Params.html#hasParam-java.lang.String-), [isDefined](../../../../../org/apache/spark/ml/param/Params.html#isDefined-org.apache.spark.ml.param.Param-), [isSet](../../../../../org/apache/spark/ml/param/Params.html#isSet-org.apache.spark.ml.param.Param-), [onParamChange](../../../../../org/apache/spark/ml/param/Params.html#onParamChange-org.apache.spark.ml.param.Param-), [paramMap](../../../../../org/apache/spark/ml/param/Params.html#paramMap--), [params](../../../../../org/apache/spark/ml/param/Params.html#params--), [set](../../../../../org/apache/spark/ml/param/Params.html#set-org.apache.spark.ml.param.Param-T-), [set](../../../../../org/apache/spark/ml/param/Params.html#set-org.apache.spark.ml.param.ParamPair-), [set](../../../../../org/apache/spark/ml/param/Params.html#set-java.lang.String-java.lang.Object-), [setDefault](../../../../../org/apache/spark/ml/param/Params.html#setDefault-org.apache.spark.ml.param.Param-T-), [setDefault](../../../../../org/apache/spark/ml/param/Params.html#setDefault-scala.collection.Seq-), [shouldOwn](../../../../../org/apache/spark/ml/param/Params.html#shouldOwn-org.apache.spark.ml.param.Param-)` * ### Methods inherited from interface org.apache.spark.ml.util.[DefaultParamsWritable](../../../../../org/apache/spark/ml/util/DefaultParamsWritable.html "interface in org.apache.spark.ml.util") `[write](../../../../../org/apache/spark/ml/util/DefaultParamsWritable.html#write--)` * ### Methods inherited from interface org.apache.spark.ml.util.[MLWritable](../../../../../org/apache/spark/ml/util/MLWritable.html "interface in org.apache.spark.ml.util") `[save](../../../../../org/apache/spark/ml/util/MLWritable.html#save-java.lang.String-)` * ### Methods inherited from interface org.apache.spark.internal.Logging `$init$, 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_, uninitialize`Constructor Detail
* #### Bucketizer public Bucketizer(String uid) * #### Bucketizer public Bucketizer()Method Detail
* #### load public static [Bucketizer](../../../../../org/apache/spark/ml/feature/Bucketizer.html "class in org.apache.spark.ml.feature") load(String path) * #### read public static [MLReader](../../../../../org/apache/spark/ml/util/MLReader.html "class in org.apache.spark.ml.util")<T> read() * #### outputCols public final [StringArrayParam](../../../../../org/apache/spark/ml/param/StringArrayParam.html "class in org.apache.spark.ml.param") outputCols() Param for output column names. Specified by: `[outputCols](../../../../../org/apache/spark/ml/param/shared/HasOutputCols.html#outputCols--)` in interface `[HasOutputCols](../../../../../org/apache/spark/ml/param/shared/HasOutputCols.html "interface in org.apache.spark.ml.param.shared")` Returns: (undocumented) * #### inputCols public final [StringArrayParam](../../../../../org/apache/spark/ml/param/StringArrayParam.html "class in org.apache.spark.ml.param") inputCols() Param for input column names. Specified by: `[inputCols](../../../../../org/apache/spark/ml/param/shared/HasInputCols.html#inputCols--)` in interface `[HasInputCols](../../../../../org/apache/spark/ml/param/shared/HasInputCols.html "interface in org.apache.spark.ml.param.shared")` Returns: (undocumented) * #### outputCol public final [Param](../../../../../org/apache/spark/ml/param/Param.html "class in org.apache.spark.ml.param")<String> outputCol() Param for output column name. Specified by: `[outputCol](../../../../../org/apache/spark/ml/param/shared/HasOutputCol.html#outputCol--)` in interface `[HasOutputCol](../../../../../org/apache/spark/ml/param/shared/HasOutputCol.html "interface in org.apache.spark.ml.param.shared")` Returns: (undocumented) * #### inputCol public final [Param](../../../../../org/apache/spark/ml/param/Param.html "class in org.apache.spark.ml.param")<String> inputCol() Description copied from interface: `[HasInputCol](../../../../../org/apache/spark/ml/param/shared/HasInputCol.html#inputCol--)` Param for input column name. Specified by: `[inputCol](../../../../../org/apache/spark/ml/param/shared/HasInputCol.html#inputCol--)` in interface `[HasInputCol](../../../../../org/apache/spark/ml/param/shared/HasInputCol.html "interface in org.apache.spark.ml.param.shared")` Returns: (undocumented) * #### uid public String uid() An immutable unique ID for the object and its derivatives. Specified by: `[uid](../../../../../org/apache/spark/ml/util/Identifiable.html#uid--)` in interface `[Identifiable](../../../../../org/apache/spark/ml/util/Identifiable.html "interface in org.apache.spark.ml.util")` Returns: (undocumented) * #### splits public [DoubleArrayParam](../../../../../org/apache/spark/ml/param/DoubleArrayParam.html "class in org.apache.spark.ml.param") splits() Parameter for mapping continuous features into buckets. With n+1 splits, there are n buckets. A bucket defined by splits x,y holds values in the range \[x,y) except the last bucket, which also includes y. Splits should be of length greater than or equal to 3 and strictly increasing. Values at -inf, inf must be explicitly provided to cover all Double values; otherwise, values outside the splits specified will be treated as errors. See also `handleInvalid`, which can optionally create an additional bucket for NaN values. Returns: (undocumented) * #### getSplits public double[] getSplits() * #### setSplits public [Bucketizer](../../../../../org/apache/spark/ml/feature/Bucketizer.html "class in org.apache.spark.ml.feature") setSplits(double[] value) * #### setInputCol public [Bucketizer](../../../../../org/apache/spark/ml/feature/Bucketizer.html "class in org.apache.spark.ml.feature") setInputCol(String value) * #### setOutputCol public [Bucketizer](../../../../../org/apache/spark/ml/feature/Bucketizer.html "class in org.apache.spark.ml.feature") setOutputCol(String value) * #### handleInvalid public [Param](../../../../../org/apache/spark/ml/param/Param.html "class in org.apache.spark.ml.param")<String> handleInvalid() Param for how to handle invalid entries containing NaN values. Values outside the splits will always be treated as errors. Options are 'skip' (filter out rows with invalid values), 'error' (throw an error), or 'keep' (keep invalid values in a special additional bucket). Note that in the multiple column case, the invalid handling is applied to all columns. That said for 'error' it will throw an error if any invalids are found in any column, for 'skip' it will skip rows with any invalids in any columns, etc. Default: "error" Specified by: `[handleInvalid](../../../../../org/apache/spark/ml/param/shared/HasHandleInvalid.html#handleInvalid--)` in interface `[HasHandleInvalid](../../../../../org/apache/spark/ml/param/shared/HasHandleInvalid.html "interface in org.apache.spark.ml.param.shared")` Returns: (undocumented) * #### setHandleInvalid public [Bucketizer](../../../../../org/apache/spark/ml/feature/Bucketizer.html "class in org.apache.spark.ml.feature") setHandleInvalid(String value) * #### splitsArray public [DoubleArrayArrayParam](../../../../../org/apache/spark/ml/param/DoubleArrayArrayParam.html "class in org.apache.spark.ml.param") splitsArray() Parameter for specifying multiple splits parameters. Each element in this array can be used to map continuous features into buckets. Returns: (undocumented) * #### getSplitsArray public double[][] getSplitsArray() * #### setSplitsArray public [Bucketizer](../../../../../org/apache/spark/ml/feature/Bucketizer.html "class in org.apache.spark.ml.feature") setSplitsArray(double[][] value) * #### setInputCols public [Bucketizer](../../../../../org/apache/spark/ml/feature/Bucketizer.html "class in org.apache.spark.ml.feature") setInputCols(String[] value) * #### setOutputCols public [Bucketizer](../../../../../org/apache/spark/ml/feature/Bucketizer.html "class in org.apache.spark.ml.feature") setOutputCols(String[] value) * #### transform public [Dataset](../../../../../org/apache/spark/sql/Dataset.html "class in org.apache.spark.sql")<[Row](../../../../../org/apache/spark/sql/Row.html "interface in org.apache.spark.sql")> transform([Dataset](../../../../../org/apache/spark/sql/Dataset.html "class in org.apache.spark.sql")<?> dataset) Transforms the input dataset. Specified by: `[transform](../../../../../org/apache/spark/ml/Transformer.html#transform-org.apache.spark.sql.Dataset-)` in class `[Transformer](../../../../../org/apache/spark/ml/Transformer.html "class in org.apache.spark.ml")` Parameters: `dataset` \- (undocumented) Returns: (undocumented) * #### transformSchema public [StructType](../../../../../org/apache/spark/sql/types/StructType.html "class in org.apache.spark.sql.types") transformSchema([StructType](../../../../../org/apache/spark/sql/types/StructType.html "class in org.apache.spark.sql.types") schema) Check transform validity and derive the output schema from the input schema. 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. Specified by: `[transformSchema](../../../../../org/apache/spark/ml/PipelineStage.html#transformSchema-org.apache.spark.sql.types.StructType-)` in class `[PipelineStage](../../../../../org/apache/spark/ml/PipelineStage.html "class in org.apache.spark.ml")` Parameters: `schema` \- (undocumented) Returns: (undocumented) * #### copy public [Bucketizer](../../../../../org/apache/spark/ml/feature/Bucketizer.html "class in org.apache.spark.ml.feature") copy([ParamMap](../../../../../org/apache/spark/ml/param/ParamMap.html "class in org.apache.spark.ml.param") extra) Description copied from interface: `[Params](../../../../../org/apache/spark/ml/param/Params.html#copy-org.apache.spark.ml.param.ParamMap-)` Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly. See `defaultCopy()`. Specified by: `[copy](../../../../../org/apache/spark/ml/param/Params.html#copy-org.apache.spark.ml.param.ParamMap-)` in interface `[Params](../../../../../org/apache/spark/ml/param/Params.html "interface in org.apache.spark.ml.param")` Specified by: `[copy](../../../../../org/apache/spark/ml/Model.html#copy-org.apache.spark.ml.param.ParamMap-)` in class `[Model](../../../../../org/apache/spark/ml/Model.html "class in org.apache.spark.ml")<[Bucketizer](../../../../../org/apache/spark/ml/feature/Bucketizer.html "class in org.apache.spark.ml.feature")>` Parameters: `extra` \- (undocumented) Returns: (undocumented) * #### toString public String toString() Specified by: `[toString](../../../../../org/apache/spark/ml/util/Identifiable.html#toString--)` in interface `[Identifiable](../../../../../org/apache/spark/ml/util/Identifiable.html "interface in org.apache.spark.ml.util")` Overrides: `toString` in class `Object`