Synapse.ML.Stages.ClassBalancerModel Class Reference

ClassBalancerModel implements ClassBalancerModel More...

Inheritance diagram for Synapse.ML.Stages.ClassBalancerModel:

Collaboration diagram for Synapse.ML.Stages.ClassBalancerModel:

Public Member Functions
	ClassBalancerModel ()
	Creates a ClassBalancerModel without any parameters. More...
	ClassBalancerModel (string uid)
	Creates a ClassBalancerModel with a UID that is used to give the ClassBalancerModel a unique ID. More...
ClassBalancerModel	SetBroadcastJoin (bool value)
	Sets value for broadcastJoin More...
ClassBalancerModel	SetInputCol (string value)
	Sets value for inputCol More...
ClassBalancerModel	SetOutputCol (string value)
	Sets value for outputCol More...
ClassBalancerModel	SetWeights (DataFrame value)
	Sets value for weights More...
bool	GetBroadcastJoin ()
	Gets broadcastJoin value More...
string	GetInputCol ()
	Gets inputCol value More...
string	GetOutputCol ()
	Gets outputCol value More...
DataFrame	GetWeights ()
	Gets weights 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< ClassBalancerModel >	Read ()
	Get the corresponding JavaMLReader instance. More...

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

Detailed Description

ClassBalancerModel implements ClassBalancerModel

Constructor & Destructor Documentation

ClassBalancerModel() [1/2]

Synapse.ML.Stages.ClassBalancerModel.ClassBalancerModel ( )

inline

Creates a ClassBalancerModel without any parameters.

ClassBalancerModel() [2/2]

Synapse.ML.Stages.ClassBalancerModel.ClassBalancerModel ( string  uid )

inline

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

Parameters

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

Member Function Documentation

GetBroadcastJoin()

bool Synapse.ML.Stages.ClassBalancerModel.GetBroadcastJoin

(

)

Gets broadcastJoin value

Returns

broadcastJoin: whether to broadcast join

GetInputCol()

string Synapse.ML.Stages.ClassBalancerModel.GetInputCol

(

)

Gets inputCol value

Returns

inputCol: The name of the input column

GetOutputCol()

string Synapse.ML.Stages.ClassBalancerModel.GetOutputCol

(

)

Gets outputCol value

Returns

outputCol: The name of the output column

GetWeights()

DataFrame Synapse.ML.Stages.ClassBalancerModel.GetWeights

(

)

Gets weights value

Returns

weights: the dataframe of weights

Load()

static ClassBalancerModel Synapse.ML.Stages.ClassBalancerModel.Load ( string  path )

static

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

Parameters

path	The path the previous ClassBalancerModel was saved to

Returns

New ClassBalancerModel object, loaded from path.

Read()

JavaMLReader<ClassBalancerModel> Synapse.ML.Stages.ClassBalancerModel.Read

(

)

Get the corresponding JavaMLReader instance.

Returns

an JavaMLReader<ClassBalancerModel> instance for this ML instance.

Save()

void Synapse.ML.Stages.ClassBalancerModel.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

SetBroadcastJoin()

ClassBalancerModel Synapse.ML.Stages.ClassBalancerModel.SetBroadcastJoin

(

bool

value

)

Sets value for broadcastJoin

Parameters

value

whether to broadcast join

Returns

New ClassBalancerModel object

SetInputCol()

ClassBalancerModel Synapse.ML.Stages.ClassBalancerModel.SetInputCol

(

string

value

)

Sets value for inputCol

Parameters

value

The name of the input column

Returns

New ClassBalancerModel object

SetOutputCol()

ClassBalancerModel Synapse.ML.Stages.ClassBalancerModel.SetOutputCol

(

string

value

)

Sets value for outputCol

Parameters

value

The name of the output column

Returns

New ClassBalancerModel object

SetWeights()

ClassBalancerModel Synapse.ML.Stages.ClassBalancerModel.SetWeights

(

DataFrame

value

)

Sets value for weights

Parameters

value

the dataframe of weights

Returns

New ClassBalancerModel object

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

• synapse/ml/stages/ClassBalancerModel.cs