Synapse.ML.Featurize.CleanMissingDataModel Class Reference

CleanMissingDataModel implements CleanMissingDataModel More...

Inheritance diagram for Synapse.ML.Featurize.CleanMissingDataModel:

Collaboration diagram for Synapse.ML.Featurize.CleanMissingDataModel:

Public Member Functions
	CleanMissingDataModel ()
	Creates a CleanMissingDataModel without any parameters. More...
	CleanMissingDataModel (string uid)
	Creates a CleanMissingDataModel with a UID that is used to give the CleanMissingDataModel a unique ID. More...
CleanMissingDataModel	SetColsToFill (string[] value)
	Sets value for colsToFill More...
CleanMissingDataModel	SetFillValues (object[] value)
	Sets value for fillValues More...
CleanMissingDataModel	SetInputCols (string[] value)
	Sets value for inputCols More...
CleanMissingDataModel	SetOutputCols (string[] value)
	Sets value for outputCols More...
string[]	GetColsToFill ()
	Gets colsToFill value More...
object[]	GetFillValues ()
	Gets fillValues value More...
string[]	GetInputCols ()
	Gets inputCols value More...
string[]	GetOutputCols ()
	Gets outputCols 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< CleanMissingDataModel >	Read ()
	Get the corresponding JavaMLReader instance. More...

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

Detailed Description

CleanMissingDataModel implements CleanMissingDataModel

Constructor & Destructor Documentation

CleanMissingDataModel() [1/2]

Synapse.ML.Featurize.CleanMissingDataModel.CleanMissingDataModel ( )

inline

Creates a CleanMissingDataModel without any parameters.

CleanMissingDataModel() [2/2]

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

inline

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

Parameters

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

Member Function Documentation

GetColsToFill()

string [] Synapse.ML.Featurize.CleanMissingDataModel.GetColsToFill

(

)

Gets colsToFill value

Returns

colsToFill: The columns to fill with

GetFillValues()

object [] Synapse.ML.Featurize.CleanMissingDataModel.GetFillValues ( )

inline

Gets fillValues value

Returns

fillValues: what to replace in the columns

GetInputCols()

string [] Synapse.ML.Featurize.CleanMissingDataModel.GetInputCols

(

)

Gets inputCols value

Returns

inputCols: The names of the input columns

GetOutputCols()

string [] Synapse.ML.Featurize.CleanMissingDataModel.GetOutputCols

(

)

Gets outputCols value

Returns

outputCols: The names of the output columns

Load()

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

static

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

Parameters

path	The path the previous CleanMissingDataModel was saved to

Returns

New CleanMissingDataModel object, loaded from path.

Read()

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

(

)

Get the corresponding JavaMLReader instance.

Returns

an JavaMLReader<CleanMissingDataModel> instance for this ML instance.

Save()

void Synapse.ML.Featurize.CleanMissingDataModel.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

SetColsToFill()

CleanMissingDataModel Synapse.ML.Featurize.CleanMissingDataModel.SetColsToFill

(

string[]

value

)

Sets value for colsToFill

Parameters

value

The columns to fill with

Returns

New CleanMissingDataModel object

SetFillValues()

CleanMissingDataModel Synapse.ML.Featurize.CleanMissingDataModel.SetFillValues

(

object[]

value

)

Sets value for fillValues

Parameters

value

what to replace in the columns

Returns

New CleanMissingDataModel object

SetInputCols()

CleanMissingDataModel Synapse.ML.Featurize.CleanMissingDataModel.SetInputCols

(

string[]

value

)

Sets value for inputCols

Parameters

value

The names of the input columns

Returns

New CleanMissingDataModel object

SetOutputCols()

CleanMissingDataModel Synapse.ML.Featurize.CleanMissingDataModel.SetOutputCols

(

string[]

value

)

Sets value for outputCols

Parameters

value

The names of the output columns

Returns

New CleanMissingDataModel object

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

• synapse/ml/featurize/CleanMissingDataModel.cs