All Implemented Interfaces:

Serializable, org.apache.spark.internal.Logging, Params, Identifiable, MLWritable

Represents a fitted pipeline.

See Also:

• Serialized Form

• 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

• Method Summary

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

  read()

  stages()

  Transforms the input dataset.

  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 an MLWriter instance for this ML instance.

  Methods 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, withLogContext

  Methods inherited from interface org.apache.spark.ml.util.MLWritable

  save

  Methods inherited from interface org.apache.spark.ml.param.Params

  clear, copyValues, defaultCopy, estimateMatadataSize, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, set, set, set, setDefault, setDefault, shouldOwn

• Method Details

  • read

  • load

  • uid

    An immutable unique ID for the object and its derivatives.

    Specified by:

    uid in interface Identifiable

    Returns:

    (undocumented)

  • stages

  • 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 Model<PipelineModel>

    Parameters:

    extra - (undocumented)

    Returns:

    (undocumented)

  • write

    Description copied from interface: MLWritable

    Returns an MLWriter instance for this ML instance.

    Specified by:

    write in interface MLWritable

    Returns:

    (undocumented)