Synapse.ML.Lime.TabularLIME Class Reference

TabularLIME implements TabularLIME More...

Inheritance diagram for Synapse.ML.Lime.TabularLIME:

Collaboration diagram for Synapse.ML.Lime.TabularLIME:

Public Member Functions
	TabularLIME ()
	Creates a TabularLIME without any parameters. More...
	TabularLIME (string uid)
	Creates a TabularLIME with a UID that is used to give the TabularLIME a unique ID. More...
TabularLIME	SetInputCol (string value)
	Sets value for inputCol More...
TabularLIME	SetModel (JavaTransformer value)
	Sets value for model More...
TabularLIME	SetNSamples (int value)
	Sets value for nSamples More...
TabularLIME	SetOutputCol (string value)
	Sets value for outputCol More...
TabularLIME	SetPredictionCol (string value)
	Sets value for predictionCol More...
TabularLIME	SetRegularization (double value)
	Sets value for regularization More...
TabularLIME	SetSamplingFraction (double value)
	Sets value for samplingFraction 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...
override TabularLIMEModel	Fit (DataFrame dataset)
	Fits a model to the input data. 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< TabularLIME >	Read ()
	Get the corresponding JavaMLReader instance. More...

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

Detailed Description

TabularLIME implements TabularLIME

Constructor & Destructor Documentation

TabularLIME() [1/2]

Synapse.ML.Lime.TabularLIME.TabularLIME ( )

inline

Creates a TabularLIME without any parameters.

TabularLIME() [2/2]

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

inline

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

Parameters

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

Member Function Documentation

Fit()

override TabularLIMEModel Synapse.ML.Lime.TabularLIME.Fit

(

DataFrame

dataset

)

Fits a model to the input data.

Parameters

dataset

The DataFrame to fit the model to.

Returns

TabularLIMEModel

GetInputCol()

string Synapse.ML.Lime.TabularLIME.GetInputCol

(

)

Gets inputCol value

Returns

inputCol: The name of the input column

GetModel()

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

inline

Gets model value

Returns

model: Model to try to locally approximate

GetNSamples()

int Synapse.ML.Lime.TabularLIME.GetNSamples

(

)

Gets nSamples value

Returns

nSamples: The number of samples to generate

GetOutputCol()

string Synapse.ML.Lime.TabularLIME.GetOutputCol

(

)

Gets outputCol value

Returns

outputCol: The name of the output column

GetPredictionCol()

string Synapse.ML.Lime.TabularLIME.GetPredictionCol

(

)

Gets predictionCol value

Returns

predictionCol: prediction column name

GetRegularization()

double Synapse.ML.Lime.TabularLIME.GetRegularization

(

)

Gets regularization value

Returns

regularization: regularization param for the lasso

GetSamplingFraction()

double Synapse.ML.Lime.TabularLIME.GetSamplingFraction

(

)

Gets samplingFraction value

Returns

samplingFraction: The fraction of superpixels to keep on

Load()

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

static

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

Parameters

path	The path the previous TabularLIME was saved to

Returns

New TabularLIME object, loaded from path.

Read()

JavaMLReader<TabularLIME> Synapse.ML.Lime.TabularLIME.Read

(

)

Get the corresponding JavaMLReader instance.

Returns

an JavaMLReader<TabularLIME> instance for this ML instance.

Save()

void Synapse.ML.Lime.TabularLIME.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

SetInputCol()

TabularLIME Synapse.ML.Lime.TabularLIME.SetInputCol

(

string

value

)

Sets value for inputCol

Parameters

value

The name of the input column

Returns

New TabularLIME object

SetModel()

TabularLIME Synapse.ML.Lime.TabularLIME.SetModel

(

JavaTransformer

value

)

Sets value for model

Parameters

value

Model to try to locally approximate

Returns

New TabularLIME object

SetNSamples()

TabularLIME Synapse.ML.Lime.TabularLIME.SetNSamples

(

int

value

)

Sets value for nSamples

Parameters

value

The number of samples to generate

Returns

New TabularLIME object

SetOutputCol()

TabularLIME Synapse.ML.Lime.TabularLIME.SetOutputCol

(

string

value

)

Sets value for outputCol

Parameters

value

The name of the output column

Returns

New TabularLIME object

SetPredictionCol()

TabularLIME Synapse.ML.Lime.TabularLIME.SetPredictionCol

(

string

value

)

Sets value for predictionCol

Parameters

value

prediction column name

Returns

New TabularLIME object

SetRegularization()

TabularLIME Synapse.ML.Lime.TabularLIME.SetRegularization

(

double

value

)

Sets value for regularization

Parameters

value

regularization param for the lasso

Returns

New TabularLIME object

SetSamplingFraction()

TabularLIME Synapse.ML.Lime.TabularLIME.SetSamplingFraction

(

double

value

)

Sets value for samplingFraction

Parameters

value

The fraction of superpixels to keep on

Returns

New TabularLIME object

---

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

• synapse/ml/lime/TabularLIME.cs