Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

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

MinMaxScalerModel (Spark 4.0.0 JavaDoc)

All Implemented Interfaces:

Serializable, org.apache.spark.internal.Logging, MinMaxScalerParams, Params, HasInputCol, HasOutputCol, Identifiable, MLWritable

Model fitted by

.

param: originalMin min value for each original column during fitting param: originalMax max value for each original column during fitting

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

• Method Summary

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

  Param for input column name.

  upper bound after transformation, shared by all features Default: 1.0

  lower bound after transformation, shared by all features Default: 0.0

  Param for output column name.

  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.

  Returns an MLWriter instance for this ML instance.

  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

• Method Details
  • read
  • load
  • min

    lower bound after transformation, shared by all features Default: 0.0

    Specified by:

    min in interface MinMaxScalerParams

    Returns:

    (undocumented)

  • max

    upper bound after transformation, shared by all features Default: 1.0

    Specified by:

    max in interface MinMaxScalerParams

    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)

  • originalMin
  • originalMax
  • setInputCol
  • setOutputCol
  • setMin
  • setMax
  • 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<MinMaxScalerModel>

    Parameters:

    extra - (undocumented)

    Returns:

    (undocumented)

  • write

    Returns an MLWriter instance for this ML instance.

    Specified by:

    write in interface MLWritable

    Returns:

    (undocumented)

  • toString

    Specified by:

    toString in interface Identifiable

    Overrides:

    toString in class Object

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4