VowpalWabbitRegressionModel implements VowpalWabbitRegressionModel More...

Inheritance diagram for Synapse.ML.Vw.VowpalWabbitRegressionModel:

Collaboration diagram for Synapse.ML.Vw.VowpalWabbitRegressionModel:

Public Member Functions
	VowpalWabbitRegressionModel ()
	Creates a VowpalWabbitRegressionModel without any parameters. More...

	VowpalWabbitRegressionModel (string uid)
	Creates a VowpalWabbitRegressionModel with a UID that is used to give the VowpalWabbitRegressionModel a unique ID. More...

VowpalWabbitRegressionModel	SetAdditionalFeatures (string[] value)
	Sets value for additionalFeatures More...

VowpalWabbitRegressionModel	SetFeaturesCol (string value)
	Sets value for featuresCol More...

VowpalWabbitRegressionModel	SetLabelCol (string value)
	Sets value for labelCol More...

VowpalWabbitRegressionModel	SetModel (object value)
	Sets value for model More...

VowpalWabbitRegressionModel	SetPerformanceStatistics (DataFrame value)
	Sets value for performanceStatistics More...

VowpalWabbitRegressionModel	SetPredictionCol (string value)
	Sets value for predictionCol More...

VowpalWabbitRegressionModel	SetRawPredictionCol (string value)
	Sets value for rawPredictionCol More...

VowpalWabbitRegressionModel	SetTestArgs (string value)
	Sets value for testArgs More...

string []	GetAdditionalFeatures ()
	Gets additionalFeatures value More...

string	GetFeaturesCol ()
	Gets featuresCol value More...

string	GetLabelCol ()
	Gets labelCol value More...

object	GetModel ()
	Gets model value More...

DataFrame	GetPerformanceStatistics ()
	Gets performanceStatistics value More...

string	GetPredictionCol ()
	Gets predictionCol value More...

string	GetRawPredictionCol ()
	Gets rawPredictionCol value More...

string	GetTestArgs ()
	Gets testArgs value More...

void	Save (string path)
	Saves the object so that it can be loaded later using Load. Note that these objects can be shared with Scala by Loading or Saving in Scala. More...

JavaMLWriter	Write ()
	Returns a JavaMLWriter instance for this ML instance.

JavaMLReader< VowpalWabbitRegressionModel >	Read ()
	Get the corresponding JavaMLReader instance. More...

Static Public Member Functions
static VowpalWabbitRegressionModel	Load (string path)
	Loads the VowpalWabbitRegressionModel that was previously saved using Save(string). More...

Detailed Description

VowpalWabbitRegressionModel implements VowpalWabbitRegressionModel

Constructor & Destructor Documentation

◆ VowpalWabbitRegressionModel() [1/2]

Synapse.ML.Vw.VowpalWabbitRegressionModel.VowpalWabbitRegressionModel ( )

inline

Creates a VowpalWabbitRegressionModel without any parameters.

◆ VowpalWabbitRegressionModel() [2/2]

Synapse.ML.Vw.VowpalWabbitRegressionModel.VowpalWabbitRegressionModel ( string uid )

inline

Creates a VowpalWabbitRegressionModel with a UID that is used to give the VowpalWabbitRegressionModel a unique ID.

Parameters

uid	An immutable unique ID for the object and its derivatives.

Member Function Documentation

◆ GetAdditionalFeatures()

string [] Synapse.ML.Vw.VowpalWabbitRegressionModel.GetAdditionalFeatures ( )

Gets additionalFeatures value

Returns: additionalFeatures: Additional feature columns

◆ GetFeaturesCol()

string Synapse.ML.Vw.VowpalWabbitRegressionModel.GetFeaturesCol ( )

Gets featuresCol value

Returns: featuresCol: features column name

◆ GetLabelCol()

string Synapse.ML.Vw.VowpalWabbitRegressionModel.GetLabelCol ( )

Gets labelCol value

Returns: labelCol: label column name

◆ GetModel()

object Synapse.ML.Vw.VowpalWabbitRegressionModel.GetModel ( )

Gets model value

Returns: model: The VW model....

◆ GetPerformanceStatistics()

DataFrame Synapse.ML.Vw.VowpalWabbitRegressionModel.GetPerformanceStatistics ( )

Gets performanceStatistics value

Returns: performanceStatistics: Performance statistics collected during training

◆ GetPredictionCol()

string Synapse.ML.Vw.VowpalWabbitRegressionModel.GetPredictionCol ( )

Gets predictionCol value

Returns: predictionCol: prediction column name

◆ GetRawPredictionCol()

string Synapse.ML.Vw.VowpalWabbitRegressionModel.GetRawPredictionCol ( )

Gets rawPredictionCol value

Returns: rawPredictionCol: raw prediction (a.k.a. confidence) column name

◆ GetTestArgs()

string Synapse.ML.Vw.VowpalWabbitRegressionModel.GetTestArgs ( )

Gets testArgs value

Returns: testArgs: Additional arguments passed to VW at test time

◆ Load()

static VowpalWabbitRegressionModel Synapse.ML.Vw.VowpalWabbitRegressionModel.Load ( string path )

static

Loads the VowpalWabbitRegressionModel that was previously saved using Save(string).

Parameters

path	The path the previous VowpalWabbitRegressionModel was saved to

Returns: New VowpalWabbitRegressionModel object, loaded from path.

◆ Read()

JavaMLReader<VowpalWabbitRegressionModel> Synapse.ML.Vw.VowpalWabbitRegressionModel.Read ( )

Get the corresponding JavaMLReader instance.

Returns: an JavaMLReader<VowpalWabbitRegressionModel> instance for this ML instance.

◆ Save()

void Synapse.ML.Vw.VowpalWabbitRegressionModel.Save ( string path )

Saves the object so that it can be loaded later using Load. Note that these objects can be shared with Scala by Loading or Saving in Scala.

Parameters

path	The path to save the object to

◆ SetAdditionalFeatures()

VowpalWabbitRegressionModel Synapse.ML.Vw.VowpalWabbitRegressionModel.SetAdditionalFeatures ( string [] value )

Sets value for additionalFeatures

Parameters

value Additional feature columns

Returns: New VowpalWabbitRegressionModel object

◆ SetFeaturesCol()

VowpalWabbitRegressionModel Synapse.ML.Vw.VowpalWabbitRegressionModel.SetFeaturesCol ( string value )

Sets value for featuresCol

Parameters

value features column name

Returns: New VowpalWabbitRegressionModel object

◆ SetLabelCol()

VowpalWabbitRegressionModel Synapse.ML.Vw.VowpalWabbitRegressionModel.SetLabelCol ( string value )

Sets value for labelCol

Parameters

value label column name

Returns: New VowpalWabbitRegressionModel object

◆ SetModel()

VowpalWabbitRegressionModel Synapse.ML.Vw.VowpalWabbitRegressionModel.SetModel ( object value )

Sets value for model

Parameters

value The VW model....

Returns: New VowpalWabbitRegressionModel object

◆ SetPerformanceStatistics()

VowpalWabbitRegressionModel Synapse.ML.Vw.VowpalWabbitRegressionModel.SetPerformanceStatistics ( DataFrame value )

Sets value for performanceStatistics

Parameters

value Performance statistics collected during training

Returns: New VowpalWabbitRegressionModel object

◆ SetPredictionCol()

VowpalWabbitRegressionModel Synapse.ML.Vw.VowpalWabbitRegressionModel.SetPredictionCol ( string value )

Sets value for predictionCol

Parameters

value prediction column name

Returns: New VowpalWabbitRegressionModel object

◆ SetRawPredictionCol()

VowpalWabbitRegressionModel Synapse.ML.Vw.VowpalWabbitRegressionModel.SetRawPredictionCol ( string value )

Sets value for rawPredictionCol

Parameters

value raw prediction (a.k.a. confidence) column name

Returns: New VowpalWabbitRegressionModel object

◆ SetTestArgs()

VowpalWabbitRegressionModel Synapse.ML.Vw.VowpalWabbitRegressionModel.SetTestArgs ( string value )

Sets value for testArgs

Parameters

value Additional arguments passed to VW at test time

Returns: New VowpalWabbitRegressionModel object

The documentation for this class was generated from the following file:

synapse/ml/vw/VowpalWabbitRegressionModel.cs

Public Member Functions

Static Public Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ VowpalWabbitRegressionModel() [1/2]

◆ VowpalWabbitRegressionModel() [2/2]

Member Function Documentation

◆ GetAdditionalFeatures()

◆ GetFeaturesCol()

◆ GetLabelCol()

◆ GetModel()

◆ GetPerformanceStatistics()

◆ GetPredictionCol()

◆ GetRawPredictionCol()

◆ GetTestArgs()

◆ Load()

◆ Read()

◆ Save()

◆ SetAdditionalFeatures()

◆ SetFeaturesCol()

◆ SetLabelCol()

◆ SetModel()

◆ SetPerformanceStatistics()

◆ SetPredictionCol()

◆ SetRawPredictionCol()

◆ SetTestArgs()