Synapse.ML.Featurize.ValueIndexer Class Reference

ValueIndexer implements ValueIndexer More...

Inheritance diagram for Synapse.ML.Featurize.ValueIndexer:

Collaboration diagram for Synapse.ML.Featurize.ValueIndexer:

Public Member Functions
	ValueIndexer ()
	Creates a ValueIndexer without any parameters. More...
	ValueIndexer (string uid)
	Creates a ValueIndexer with a UID that is used to give the ValueIndexer a unique ID. More...
ValueIndexer	SetInputCol (string value)
	Sets value for inputCol More...
ValueIndexer	SetOutputCol (string value)
	Sets value for outputCol More...
string	GetInputCol ()
	Gets inputCol value More...
string	GetOutputCol ()
	Gets outputCol value More...
override ValueIndexerModel	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< ValueIndexer >	Read ()
	Get the corresponding JavaMLReader instance. More...

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

Detailed Description

ValueIndexer implements ValueIndexer

Constructor & Destructor Documentation

ValueIndexer() [1/2]

Synapse.ML.Featurize.ValueIndexer.ValueIndexer ( )

inline

Creates a ValueIndexer without any parameters.

ValueIndexer() [2/2]

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

inline

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

Parameters

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

Member Function Documentation

Fit()

override ValueIndexerModel Synapse.ML.Featurize.ValueIndexer.Fit

(

DataFrame

dataset

)

Fits a model to the input data.

Parameters

dataset

The DataFrame to fit the model to.

Returns

ValueIndexerModel

GetInputCol()

string Synapse.ML.Featurize.ValueIndexer.GetInputCol

(

)

Gets inputCol value

Returns

inputCol: The name of the input column

GetOutputCol()

string Synapse.ML.Featurize.ValueIndexer.GetOutputCol

(

)

Gets outputCol value

Returns

outputCol: The name of the output column

Load()

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

static

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

Parameters

path	The path the previous ValueIndexer was saved to

Returns

New ValueIndexer object, loaded from path.

Read()

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

(

)

Get the corresponding JavaMLReader instance.

Returns

an JavaMLReader<ValueIndexer> instance for this ML instance.

Save()

void Synapse.ML.Featurize.ValueIndexer.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()

ValueIndexer Synapse.ML.Featurize.ValueIndexer.SetInputCol

(

string

value

)

Sets value for inputCol

Parameters

value

The name of the input column

Returns

New ValueIndexer object

SetOutputCol()

ValueIndexer Synapse.ML.Featurize.ValueIndexer.SetOutputCol

(

string

value

)

Sets value for outputCol

Parameters

value

The name of the output column

Returns

New ValueIndexer object

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

• synapse/ml/featurize/ValueIndexer.cs