Synapse.ML.Train.TrainedClassifierModel Class Reference

TrainedClassifierModel implements TrainedClassifierModel More...

Inheritance diagram for Synapse.ML.Train.TrainedClassifierModel:

Collaboration diagram for Synapse.ML.Train.TrainedClassifierModel:

Public Member Functions
	TrainedClassifierModel ()
	Creates a TrainedClassifierModel without any parameters. More...
	TrainedClassifierModel (string uid)
	Creates a TrainedClassifierModel with a UID that is used to give the TrainedClassifierModel a unique ID. More...
TrainedClassifierModel	SetFeaturesCol (string value)
	Sets value for featuresCol More...
TrainedClassifierModel	SetLabelCol (string value)
	Sets value for labelCol More...
TrainedClassifierModel	SetLevels (object[] value)
	Sets value for levels More...
TrainedClassifierModel	SetModel (JavaTransformer value)
	Sets value for model More...
string	GetFeaturesCol ()
	Gets featuresCol value More...
string	GetLabelCol ()
	Gets labelCol value More...
object[]	GetLevels ()
	Gets levels value More...
JavaTransformer	GetModel ()
	Gets model 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< TrainedClassifierModel >	Read ()
	Get the corresponding JavaMLReader instance. More...

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

Detailed Description

TrainedClassifierModel implements TrainedClassifierModel

Constructor & Destructor Documentation

TrainedClassifierModel() [1/2]

Synapse.ML.Train.TrainedClassifierModel.TrainedClassifierModel ( )

inline

Creates a TrainedClassifierModel without any parameters.

TrainedClassifierModel() [2/2]

Synapse.ML.Train.TrainedClassifierModel.TrainedClassifierModel ( string  uid )

inline

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

Parameters

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

Member Function Documentation

GetFeaturesCol()

string Synapse.ML.Train.TrainedClassifierModel.GetFeaturesCol

(

)

Gets featuresCol value

Returns

featuresCol: The name of the features column

GetLabelCol()

string Synapse.ML.Train.TrainedClassifierModel.GetLabelCol

(

)

Gets labelCol value

Returns

labelCol: The name of the label column

GetLevels()

object [] Synapse.ML.Train.TrainedClassifierModel.GetLevels ( )

inline

Gets levels value

Returns

levels: the levels

GetModel()

JavaTransformer Synapse.ML.Train.TrainedClassifierModel.GetModel ( )

inline

Gets model value

Returns

model: model produced by training

Load()

static TrainedClassifierModel Synapse.ML.Train.TrainedClassifierModel.Load ( string  path )

static

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

Parameters

path	The path the previous TrainedClassifierModel was saved to

Returns

New TrainedClassifierModel object, loaded from path.

Read()

JavaMLReader<TrainedClassifierModel> Synapse.ML.Train.TrainedClassifierModel.Read

(

)

Get the corresponding JavaMLReader instance.

Returns

an JavaMLReader<TrainedClassifierModel> instance for this ML instance.

Save()

void Synapse.ML.Train.TrainedClassifierModel.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()

TrainedClassifierModel Synapse.ML.Train.TrainedClassifierModel.SetFeaturesCol

(

string

value

)

Sets value for featuresCol

Parameters

value

The name of the features column

Returns

New TrainedClassifierModel object

SetLabelCol()

TrainedClassifierModel Synapse.ML.Train.TrainedClassifierModel.SetLabelCol

(

string

value

)

Sets value for labelCol

Parameters

value

The name of the label column

Returns

New TrainedClassifierModel object

SetLevels()

TrainedClassifierModel Synapse.ML.Train.TrainedClassifierModel.SetLevels

(

object[]

value

)

Sets value for levels

Parameters

value

the levels

Returns

New TrainedClassifierModel object

SetModel()

TrainedClassifierModel Synapse.ML.Train.TrainedClassifierModel.SetModel

(

JavaTransformer

value

)

Sets value for model

Parameters

value

model produced by training

Returns

New TrainedClassifierModel object

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

• synapse/ml/train/TrainedClassifierModel.cs