LightGBMRegressionModel implements LightGBMRegressionModel More...

Inheritance diagram for Synapse.ML.Lightgbm.LightGBMRegressionModel:

Collaboration diagram for Synapse.ML.Lightgbm.LightGBMRegressionModel:

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

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

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

LightGBMRegressionModel	SetFeaturesShapCol (string value)
	Sets value for featuresShapCol More...

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

LightGBMRegressionModel	SetLeafPredictionCol (string value)
	Sets value for leafPredictionCol More...

LightGBMRegressionModel	SetLightGBMBooster (LightGBMBooster value)
	Sets value for lightGBMBooster More...

LightGBMRegressionModel	SetNumIterations (int value)
	Sets value for numIterations More...

LightGBMRegressionModel	SetPredictDisableShapeCheck (bool value)
	Sets value for predictDisableShapeCheck More...

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

LightGBMRegressionModel	SetStartIteration (int value)
	Sets value for startIteration More...

string	GetFeaturesCol ()
	Gets featuresCol value More...

string	GetFeaturesShapCol ()
	Gets featuresShapCol value More...

string	GetLabelCol ()
	Gets labelCol value More...

string	GetLeafPredictionCol ()
	Gets leafPredictionCol value More...

LightGBMBooster	GetLightGBMBooster ()
	Gets lightGBMBooster value More...

int	GetNumIterations ()
	Gets numIterations value More...

bool	GetPredictDisableShapeCheck ()
	Gets predictDisableShapeCheck value More...

string	GetPredictionCol ()
	Gets predictionCol value More...

int	GetStartIteration ()
	Gets startIteration 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< LightGBMRegressionModel >	Read ()
	Get the corresponding JavaMLReader instance. More...

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

Detailed Description

LightGBMRegressionModel implements LightGBMRegressionModel

Constructor & Destructor Documentation

◆ LightGBMRegressionModel() [1/2]

Synapse.ML.Lightgbm.LightGBMRegressionModel.LightGBMRegressionModel ( )

inline

Creates a LightGBMRegressionModel without any parameters.

◆ LightGBMRegressionModel() [2/2]

Synapse.ML.Lightgbm.LightGBMRegressionModel.LightGBMRegressionModel ( string uid )

inline

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

Parameters

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

Member Function Documentation

◆ GetFeaturesCol()

string Synapse.ML.Lightgbm.LightGBMRegressionModel.GetFeaturesCol ( )

Gets featuresCol value

Returns: featuresCol: features column name

◆ GetFeaturesShapCol()

string Synapse.ML.Lightgbm.LightGBMRegressionModel.GetFeaturesShapCol ( )

Gets featuresShapCol value

Returns: featuresShapCol: Output SHAP vector column name after prediction containing the feature contribution values

◆ GetLabelCol()

string Synapse.ML.Lightgbm.LightGBMRegressionModel.GetLabelCol ( )

Gets labelCol value

Returns: labelCol: label column name

◆ GetLeafPredictionCol()

string Synapse.ML.Lightgbm.LightGBMRegressionModel.GetLeafPredictionCol ( )

Gets leafPredictionCol value

Returns: leafPredictionCol: Predicted leaf indices's column name

◆ GetLightGBMBooster()

LightGBMBooster Synapse.ML.Lightgbm.LightGBMRegressionModel.GetLightGBMBooster ( )

Gets lightGBMBooster value

Returns: lightGBMBooster: The trained LightGBM booster

◆ GetNumIterations()

int Synapse.ML.Lightgbm.LightGBMRegressionModel.GetNumIterations ( )

Gets numIterations value

Returns: numIterations: Sets the total number of iterations used in the prediction.If <= 0, all iterations from start_iteration are used (no limits).

◆ GetPredictDisableShapeCheck()

bool Synapse.ML.Lightgbm.LightGBMRegressionModel.GetPredictDisableShapeCheck ( )

Gets predictDisableShapeCheck value

Returns: predictDisableShapeCheck: control whether or not LightGBM raises an error when you try to predict on data with a different number of features than the training data

◆ GetPredictionCol()

string Synapse.ML.Lightgbm.LightGBMRegressionModel.GetPredictionCol ( )

Gets predictionCol value

Returns: predictionCol: prediction column name

◆ GetStartIteration()

int Synapse.ML.Lightgbm.LightGBMRegressionModel.GetStartIteration ( )

Gets startIteration value

Returns: startIteration: Sets the start index of the iteration to predict. If <= 0, starts from the first iteration.

◆ Load()

static LightGBMRegressionModel Synapse.ML.Lightgbm.LightGBMRegressionModel.Load ( string path )

static

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

Parameters

path	The path the previous LightGBMRegressionModel was saved to

Returns: New LightGBMRegressionModel object, loaded from path.

◆ Read()

JavaMLReader<LightGBMRegressionModel> Synapse.ML.Lightgbm.LightGBMRegressionModel.Read ( )

Get the corresponding JavaMLReader instance.

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

◆ Save()

void Synapse.ML.Lightgbm.LightGBMRegressionModel.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

◆ SetFeaturesCol()

LightGBMRegressionModel Synapse.ML.Lightgbm.LightGBMRegressionModel.SetFeaturesCol ( string value )

Sets value for featuresCol

Parameters

value features column name

Returns: New LightGBMRegressionModel object

◆ SetFeaturesShapCol()

LightGBMRegressionModel Synapse.ML.Lightgbm.LightGBMRegressionModel.SetFeaturesShapCol ( string value )

Sets value for featuresShapCol

Parameters

value Output SHAP vector column name after prediction containing the feature contribution values

Returns: New LightGBMRegressionModel object

◆ SetLabelCol()

LightGBMRegressionModel Synapse.ML.Lightgbm.LightGBMRegressionModel.SetLabelCol ( string value )

Sets value for labelCol

Parameters

value label column name

Returns: New LightGBMRegressionModel object

◆ SetLeafPredictionCol()

LightGBMRegressionModel Synapse.ML.Lightgbm.LightGBMRegressionModel.SetLeafPredictionCol ( string value )

Sets value for leafPredictionCol

Parameters

value Predicted leaf indices's column name

Returns: New LightGBMRegressionModel object

◆ SetLightGBMBooster()

LightGBMRegressionModel Synapse.ML.Lightgbm.LightGBMRegressionModel.SetLightGBMBooster ( LightGBMBooster value )

Sets value for lightGBMBooster

Parameters

value The trained LightGBM booster

Returns: New LightGBMRegressionModel object

◆ SetNumIterations()

LightGBMRegressionModel Synapse.ML.Lightgbm.LightGBMRegressionModel.SetNumIterations ( int value )

Sets value for numIterations

Parameters

value Sets the total number of iterations used in the prediction.If <= 0, all iterations from start_iteration are used (no limits).

Returns: New LightGBMRegressionModel object

◆ SetPredictDisableShapeCheck()

LightGBMRegressionModel Synapse.ML.Lightgbm.LightGBMRegressionModel.SetPredictDisableShapeCheck ( bool value )

Sets value for predictDisableShapeCheck

Parameters

value control whether or not LightGBM raises an error when you try to predict on data with a different number of features than the training data

Returns: New LightGBMRegressionModel object

◆ SetPredictionCol()

LightGBMRegressionModel Synapse.ML.Lightgbm.LightGBMRegressionModel.SetPredictionCol ( string value )

Sets value for predictionCol

Parameters

value prediction column name

Returns: New LightGBMRegressionModel object

◆ SetStartIteration()

LightGBMRegressionModel Synapse.ML.Lightgbm.LightGBMRegressionModel.SetStartIteration ( int value )

Sets value for startIteration

Parameters

value Sets the start index of the iteration to predict. If <= 0, starts from the first iteration.

Returns: New LightGBMRegressionModel object

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

synapse/ml/lightgbm/LightGBMRegressionModel.cs

Public Member Functions

Static Public Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ LightGBMRegressionModel() [1/2]

◆ LightGBMRegressionModel() [2/2]

Member Function Documentation

◆ GetFeaturesCol()

◆ GetFeaturesShapCol()

◆ GetLabelCol()

◆ GetLeafPredictionCol()

◆ GetLightGBMBooster()

◆ GetNumIterations()

◆ GetPredictDisableShapeCheck()

◆ GetPredictionCol()

◆ GetStartIteration()

◆ Load()

◆ Read()

◆ Save()

◆ SetFeaturesCol()

◆ SetFeaturesShapCol()

◆ SetLabelCol()

◆ SetLeafPredictionCol()

◆ SetLightGBMBooster()

◆ SetNumIterations()

◆ SetPredictDisableShapeCheck()

◆ SetPredictionCol()

◆ SetStartIteration()