Synapse.ML.Featurize.CleanMissingData Class Reference

CleanMissingData implements CleanMissingData More...

Inheritance diagram for Synapse.ML.Featurize.CleanMissingData:

Collaboration diagram for Synapse.ML.Featurize.CleanMissingData:

Public Member Functions
	CleanMissingData ()
	Creates a CleanMissingData without any parameters. More...
	CleanMissingData (string uid)
	Creates a CleanMissingData with a UID that is used to give the CleanMissingData a unique ID. More...
CleanMissingData	SetCleaningMode (string value)
	Sets value for cleaningMode More...
CleanMissingData	SetCustomValue (string value)
	Sets value for customValue More...
CleanMissingData	SetInputCols (string[] value)
	Sets value for inputCols More...
CleanMissingData	SetOutputCols (string[] value)
	Sets value for outputCols More...
string	GetCleaningMode ()
	Gets cleaningMode value More...
string	GetCustomValue ()
	Gets customValue value More...
string []	GetInputCols ()
	Gets inputCols value More...
string []	GetOutputCols ()
	Gets outputCols value More...
override CleanMissingDataModel	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< CleanMissingData >	Read ()
	Get the corresponding JavaMLReader instance. More...

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

Detailed Description

CleanMissingData implements CleanMissingData

Constructor & Destructor Documentation

CleanMissingData() [1/2]

Synapse.ML.Featurize.CleanMissingData.CleanMissingData ( )

inline

Creates a CleanMissingData without any parameters.

CleanMissingData() [2/2]

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

inline

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

Parameters

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

Member Function Documentation

Fit()

override CleanMissingDataModel Synapse.ML.Featurize.CleanMissingData.Fit

(

DataFrame

dataset

)

Fits a model to the input data.

Parameters

dataset

The DataFrame to fit the model to.

Returns

CleanMissingDataModel

GetCleaningMode()

string Synapse.ML.Featurize.CleanMissingData.GetCleaningMode

(

)

Gets cleaningMode value

Returns

cleaningMode: Cleaning mode

GetCustomValue()

string Synapse.ML.Featurize.CleanMissingData.GetCustomValue

(

)

Gets customValue value

Returns

customValue: Custom value for replacement

GetInputCols()

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

(

)

Gets inputCols value

Returns

inputCols: The names of the input columns

GetOutputCols()

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

(

)

Gets outputCols value

Returns

outputCols: The names of the output columns

Load()

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

static

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

Parameters

path	The path the previous CleanMissingData was saved to

Returns

New CleanMissingData object, loaded from path.

Read()

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

(

)

Get the corresponding JavaMLReader instance.

Returns

an JavaMLReader<CleanMissingData> instance for this ML instance.

Save()

void Synapse.ML.Featurize.CleanMissingData.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

SetCleaningMode()

CleanMissingData Synapse.ML.Featurize.CleanMissingData.SetCleaningMode

(

string

value

)

Sets value for cleaningMode

Parameters

value

Cleaning mode

Returns

New CleanMissingData object

SetCustomValue()

CleanMissingData Synapse.ML.Featurize.CleanMissingData.SetCustomValue

(

string

value

)

Sets value for customValue

Parameters

value

Custom value for replacement

Returns

New CleanMissingData object

SetInputCols()

CleanMissingData Synapse.ML.Featurize.CleanMissingData.SetInputCols

(

string []

value

)

Sets value for inputCols

Parameters

value

The names of the input columns

Returns

New CleanMissingData object

SetOutputCols()

CleanMissingData Synapse.ML.Featurize.CleanMissingData.SetOutputCols

(

string []

value

)

Sets value for outputCols

Parameters

value

The names of the output columns

Returns

New CleanMissingData object

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

• synapse/ml/featurize/CleanMissingData.cs