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Showing content from http://spark.apache.org/docs/latest/api/java/org/apache/spark/ml/feature/Binarizer.html below:

Binarizer (Spark 4.0.0 JavaDoc)

All Implemented Interfaces:

Serializable, org.apache.spark.internal.Logging, Params, HasInputCol, HasInputCols, HasOutputCol, HasOutputCols, HasThreshold, HasThresholds, DefaultParamsWritable, Identifiable, MLWritable

Since 3.0.0, Binarize 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. The threshold parameter is used for single column usage, and thresholds is for multiple columns.

See Also:

• Serialized Form

• Nested Class Summary
  Nested classes/interfaces inherited from interface org.apache.spark.internal.Loggingorg.apache.spark.internal.Logging.LogStringContext, org.apache.spark.internal.Logging.SparkShellLoggingFilter

• Constructor Summary

  Constructors

• Method Summary

  Creates a copy of this instance with the same UID and some extra params.

  Param for input column name.

  Param for input column names.

  Param for output column name.

  Param for output column names.

  Param for threshold used to binarize continuous features.

  Array of threshold used to binarize continuous features.

  Transforms the input dataset.

  Check transform validity and derive the output schema from the input schema.

  An immutable unique ID for the object and its derivatives.

  Methods inherited from interface org.apache.spark.internal.LogginginitializeForcefully, 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, withLogContext
  Methods inherited from interface org.apache.spark.ml.util.MLWritablesave Methods inherited from interface org.apache.spark.ml.param.Paramsclear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

• Constructor Details
  • Binarizer
  • Binarizer

    public Binarizer()

• Method Details
  • load
  • read
  • outputCols

    Param for output column names.

    Specified by:

    outputCols in interface HasOutputCols

    Returns:

    (undocumented)

  • inputCols

    Param for input column names.

    Specified by:

    inputCols in interface HasInputCols

    Returns:

    (undocumented)

  • outputCol

    Param for output column name.

    Specified by:

    outputCol in interface HasOutputCol

    Returns:

    (undocumented)

  • inputCol

    Param for input column name.

    Specified by:

    inputCol in interface HasInputCol

    Returns:

    (undocumented)

  • uid

    An immutable unique ID for the object and its derivatives.

    Specified by:

    uid in interface Identifiable

    Returns:

    (undocumented)

  • threshold

    Param for threshold used to binarize continuous features. The features greater than the threshold, will be binarized to 1.0. The features equal to or less than the threshold, will be binarized to 0.0. Default: 0.0

    Specified by:

    threshold in interface HasThreshold

    Returns:

    (undocumented)

  • setThreshold
  • thresholds

    Specified by:

    thresholds in interface HasThresholds

    Returns:

    (undocumented)

  • setThresholds public Binarizer setThresholds(double[] value)
  • setInputCol
  • setOutputCol
  • setInputCols
  • setOutputCols
  • transform

    Transforms the input dataset.

    Specified by:

    transform in class Transformer

    Parameters:

    dataset - (undocumented)

    Returns:

    (undocumented)

  • transformSchema

    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 in class PipelineStage

    Parameters:

    schema - (undocumented)

    Returns:

    (undocumented)

  • copy Description copied from interface: Params

    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 in interface Params

    Specified by:

    copy in class Transformer

    Parameters:

    extra - (undocumented)

    Returns:

    (undocumented)

  • toString

    Specified by:

    toString in interface Identifiable

    Overrides:

    toString in class Object

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