Synapse.ML.Featurize.ValueIndexerModel Class Reference

ValueIndexerModel implements ValueIndexerModel More...

Inheritance diagram for Synapse.ML.Featurize.ValueIndexerModel:

Collaboration diagram for Synapse.ML.Featurize.ValueIndexerModel:

Public Member Functions
	ValueIndexerModel ()
	Creates a ValueIndexerModel without any parameters. More...
	ValueIndexerModel (string uid)
	Creates a ValueIndexerModel with a UID that is used to give the ValueIndexerModel a unique ID. More...
ValueIndexerModel	SetDataType (string value)
	Sets value for dataType More...
ValueIndexerModel	SetInputCol (string value)
	Sets value for inputCol More...
ValueIndexerModel	SetLevels (object[] value)
	Sets value for levels More...
ValueIndexerModel	SetOutputCol (string value)
	Sets value for outputCol More...
string	GetDataType ()
	Gets dataType value More...
string	GetInputCol ()
	Gets inputCol value More...
object[]	GetLevels ()
	Gets levels value More...
string	GetOutputCol ()
	Gets outputCol 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< ValueIndexerModel >	Read ()
	Get the corresponding JavaMLReader instance. More...

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

Detailed Description

ValueIndexerModel implements ValueIndexerModel

Constructor & Destructor Documentation

ValueIndexerModel() [1/2]

Synapse.ML.Featurize.ValueIndexerModel.ValueIndexerModel ( )

inline

Creates a ValueIndexerModel without any parameters.

ValueIndexerModel() [2/2]

Synapse.ML.Featurize.ValueIndexerModel.ValueIndexerModel ( string  uid )

inline

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

Parameters

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

Member Function Documentation

GetDataType()

string Synapse.ML.Featurize.ValueIndexerModel.GetDataType

(

)

Gets dataType value

Returns

dataType: The datatype of the levels as a Json string

GetInputCol()

string Synapse.ML.Featurize.ValueIndexerModel.GetInputCol

(

)

Gets inputCol value

Returns

inputCol: The name of the input column

GetLevels()

object [] Synapse.ML.Featurize.ValueIndexerModel.GetLevels ( )

inline

Gets levels value

Returns

levels: Levels in categorical array

GetOutputCol()

string Synapse.ML.Featurize.ValueIndexerModel.GetOutputCol

(

)

Gets outputCol value

Returns

outputCol: The name of the output column

Load()

static ValueIndexerModel Synapse.ML.Featurize.ValueIndexerModel.Load ( string  path )

static

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

Parameters

path	The path the previous ValueIndexerModel was saved to

Returns

New ValueIndexerModel object, loaded from path.

Read()

JavaMLReader<ValueIndexerModel> Synapse.ML.Featurize.ValueIndexerModel.Read

(

)

Get the corresponding JavaMLReader instance.

Returns

an JavaMLReader<ValueIndexerModel> instance for this ML instance.

Save()

void Synapse.ML.Featurize.ValueIndexerModel.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

SetDataType()

ValueIndexerModel Synapse.ML.Featurize.ValueIndexerModel.SetDataType

(

string

value

)

Sets value for dataType

Parameters

value

The datatype of the levels as a Json string

Returns

New ValueIndexerModel object

SetInputCol()

ValueIndexerModel Synapse.ML.Featurize.ValueIndexerModel.SetInputCol

(

string

value

)

Sets value for inputCol

Parameters

value

The name of the input column

Returns

New ValueIndexerModel object

SetLevels()

ValueIndexerModel Synapse.ML.Featurize.ValueIndexerModel.SetLevels

(

object[]

value

)

Sets value for levels

Parameters

value

Levels in categorical array

Returns

New ValueIndexerModel object

SetOutputCol()

ValueIndexerModel Synapse.ML.Featurize.ValueIndexerModel.SetOutputCol

(

string

value

)

Sets value for outputCol

Parameters

value

The name of the output column

Returns

New ValueIndexerModel object

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

• synapse/ml/featurize/ValueIndexerModel.cs