org.apache.spark.ml

Class PredictionModel<FeaturesType,M extends PredictionModel<FeaturesType,M>>

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

org.apache.spark.ml.Model<M>

org.apache.spark.ml.PredictionModel<FeaturesType,M>

All Implemented Interfaces:

java.io.Serializable, Logging, Params

Direct Known Subclasses:

ClassificationModel, DecisionTreeClassificationModel, DecisionTreeRegressionModel, GBTClassificationModel, GBTRegressionModel, RandomForestClassificationModel, RandomForestRegressionModel, RegressionModel

public abstract class PredictionModel<FeaturesType,M extends PredictionModel<FeaturesType,M>>
extends Model<M>

:: DeveloperApi :: Abstraction for a model for prediction tasks (regression and classification).

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
PredictionModel()

Method Summary

Methods

Modifier and Type	Method and Description
M	setFeaturesCol(String value)
M	setPredictionCol(String value)
DataFrame	transform(DataFrame dataset) Transforms dataset by reading from featuresCol, calling predict(), and storing the predictions as a new column predictionCol.
StructType	transformSchema(StructType schema) :: DeveloperApi ::
StructType	validateAndTransformSchema(StructType schema, boolean fitting, DataType featuresDataType) Validates and transforms the input schema with the provided param map.

Methods inherited from class org.apache.spark.ml.Model

copy, hasParent, parent, setParent

Methods inherited from class org.apache.spark.ml.Transformer

transform, transform, transform

Methods inherited from class Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

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

clear, copy, copyValues, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, setDefault, shouldOwn, validateParams

Methods inherited from interface org.apache.spark.Logging

initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning

Constructor Detail

PredictionModel

public PredictionModel()

Method Detail

setFeaturesCol

public M setFeaturesCol(String value)

setPredictionCol

public M setPredictionCol(String value)

transformSchema

public StructType transformSchema(StructType schema)

Description copied from class: PipelineStage

:: DeveloperApi ::

Derives the output schema from the input schema.

Specified by:

transformSchema in class PipelineStage

Parameters:

schema - (undocumented)

Returns:

(undocumented)

transform

public DataFrame transform(DataFrame dataset)

Transforms dataset by reading from featuresCol, calling predict(), and storing the predictions as a new column predictionCol.

Specified by:

transform in class Transformer

Parameters:

dataset - input dataset

Returns:

transformed dataset with predictionCol of type Double

validateAndTransformSchema

public StructType validateAndTransformSchema(StructType schema,
                                    boolean fitting,
                                    DataType featuresDataType)

Validates and transforms the input schema with the provided param map.

Parameters:

schema - input schema

fitting - whether this is in fitting

featuresDataType - SQL DataType for FeaturesType. E.g., VectorUDT for vector features.

Returns:

output schema