TabularLIMEModel implements TabularLIMEModel More...

Inheritance diagram for Synapse.ML.Lime.TabularLIMEModel:

Collaboration diagram for Synapse.ML.Lime.TabularLIMEModel:

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

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

TabularLIMEModel	SetColumnSTDs (double[] value)
	Sets value for columnSTDs More...

TabularLIMEModel	SetInputCol (string value)
	Sets value for inputCol More...

TabularLIMEModel	SetModel (JavaTransformer value)
	Sets value for model More...

TabularLIMEModel	SetNSamples (int value)
	Sets value for nSamples More...

TabularLIMEModel	SetOutputCol (string value)
	Sets value for outputCol More...

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

TabularLIMEModel	SetRegularization (double value)
	Sets value for regularization More...

TabularLIMEModel	SetSamplingFraction (double value)
	Sets value for samplingFraction More...

double []	GetColumnSTDs ()
	Gets columnSTDs value More...

string	GetInputCol ()
	Gets inputCol value More...

JavaTransformer	GetModel ()
	Gets model value More...

int	GetNSamples ()
	Gets nSamples value More...

string	GetOutputCol ()
	Gets outputCol value More...

string	GetPredictionCol ()
	Gets predictionCol value More...

double	GetRegularization ()
	Gets regularization value More...

double	GetSamplingFraction ()
	Gets samplingFraction 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< TabularLIMEModel >	Read ()
	Get the corresponding JavaMLReader instance. More...

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

Detailed Description

TabularLIMEModel implements TabularLIMEModel

Constructor & Destructor Documentation

◆ TabularLIMEModel() [1/2]

Synapse.ML.Lime.TabularLIMEModel.TabularLIMEModel ( )

inline

Creates a TabularLIMEModel without any parameters.

◆ TabularLIMEModel() [2/2]

Synapse.ML.Lime.TabularLIMEModel.TabularLIMEModel ( string uid )

inline

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

Parameters

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

Member Function Documentation

◆ GetColumnSTDs()

double [] Synapse.ML.Lime.TabularLIMEModel.GetColumnSTDs ( )

Gets columnSTDs value

Returns: columnSTDs: the standard deviations of each of the columns for perturbation

◆ GetInputCol()

string Synapse.ML.Lime.TabularLIMEModel.GetInputCol ( )

Gets inputCol value

Returns: inputCol: The name of the input column

◆ GetModel()

JavaTransformer Synapse.ML.Lime.TabularLIMEModel.GetModel ( )

inline

Gets model value

Returns: model: Model to try to locally approximate

◆ GetNSamples()

int Synapse.ML.Lime.TabularLIMEModel.GetNSamples ( )

Gets nSamples value

Returns: nSamples: The number of samples to generate

◆ GetOutputCol()

string Synapse.ML.Lime.TabularLIMEModel.GetOutputCol ( )

Gets outputCol value

Returns: outputCol: The name of the output column

◆ GetPredictionCol()

string Synapse.ML.Lime.TabularLIMEModel.GetPredictionCol ( )

Gets predictionCol value

Returns: predictionCol: prediction column name

◆ GetRegularization()

double Synapse.ML.Lime.TabularLIMEModel.GetRegularization ( )

Gets regularization value

Returns: regularization: regularization param for the lasso

◆ GetSamplingFraction()

double Synapse.ML.Lime.TabularLIMEModel.GetSamplingFraction ( )

Gets samplingFraction value

Returns: samplingFraction: The fraction of superpixels to keep on

◆ Load()

static TabularLIMEModel Synapse.ML.Lime.TabularLIMEModel.Load ( string path )

static

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

Parameters

path	The path the previous TabularLIMEModel was saved to

Returns: New TabularLIMEModel object, loaded from path.

◆ Read()

JavaMLReader<TabularLIMEModel> Synapse.ML.Lime.TabularLIMEModel.Read ( )

Get the corresponding JavaMLReader instance.

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

◆ Save()

void Synapse.ML.Lime.TabularLIMEModel.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

◆ SetColumnSTDs()

TabularLIMEModel Synapse.ML.Lime.TabularLIMEModel.SetColumnSTDs ( double [] value )

Sets value for columnSTDs

Parameters

value the standard deviations of each of the columns for perturbation

Returns: New TabularLIMEModel object

◆ SetInputCol()

TabularLIMEModel Synapse.ML.Lime.TabularLIMEModel.SetInputCol ( string value )

Sets value for inputCol

Parameters

value The name of the input column

Returns: New TabularLIMEModel object

◆ SetModel()

TabularLIMEModel Synapse.ML.Lime.TabularLIMEModel.SetModel ( JavaTransformer value )

Sets value for model

Parameters

value Model to try to locally approximate

Returns: New TabularLIMEModel object

◆ SetNSamples()

TabularLIMEModel Synapse.ML.Lime.TabularLIMEModel.SetNSamples ( int value )

Sets value for nSamples

Parameters

value The number of samples to generate

Returns: New TabularLIMEModel object

◆ SetOutputCol()

TabularLIMEModel Synapse.ML.Lime.TabularLIMEModel.SetOutputCol ( string value )

Sets value for outputCol

Parameters

value The name of the output column

Returns: New TabularLIMEModel object

◆ SetPredictionCol()

TabularLIMEModel Synapse.ML.Lime.TabularLIMEModel.SetPredictionCol ( string value )

Sets value for predictionCol

Parameters

value prediction column name

Returns: New TabularLIMEModel object

◆ SetRegularization()

TabularLIMEModel Synapse.ML.Lime.TabularLIMEModel.SetRegularization ( double value )

Sets value for regularization

Parameters

value regularization param for the lasso

Returns: New TabularLIMEModel object

◆ SetSamplingFraction()

TabularLIMEModel Synapse.ML.Lime.TabularLIMEModel.SetSamplingFraction ( double value )

Sets value for samplingFraction

Parameters

value The fraction of superpixels to keep on

Returns: New TabularLIMEModel object

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

synapse/ml/lime/TabularLIMEModel.cs

Public Member Functions

Static Public Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ TabularLIMEModel() [1/2]

◆ TabularLIMEModel() [2/2]

Member Function Documentation

◆ GetColumnSTDs()

◆ GetInputCol()

◆ GetModel()

◆ GetNSamples()

◆ GetOutputCol()

◆ GetPredictionCol()

◆ GetRegularization()

◆ GetSamplingFraction()

◆ Load()

◆ Read()

◆ Save()

◆ SetColumnSTDs()

◆ SetInputCol()

◆ SetModel()

◆ SetNSamples()

◆ SetOutputCol()

◆ SetPredictionCol()

◆ SetRegularization()

◆ SetSamplingFraction()