Synapse.ML.Featurize.Featurize Class Reference

Featurize implements Featurize More...

Inheritance diagram for Synapse.ML.Featurize.Featurize:

Collaboration diagram for Synapse.ML.Featurize.Featurize:

Public Member Functions
	Featurize ()
	Creates a Featurize without any parameters. More...
	Featurize (string uid)
	Creates a Featurize with a UID that is used to give the Featurize a unique ID. More...
Featurize	SetImputeMissing (bool value)
	Sets value for imputeMissing More...
Featurize	SetInputCols (string[] value)
	Sets value for inputCols More...
Featurize	SetNumFeatures (int value)
	Sets value for numFeatures More...
Featurize	SetOneHotEncodeCategoricals (bool value)
	Sets value for oneHotEncodeCategoricals More...
Featurize	SetOutputCol (string value)
	Sets value for outputCol More...
bool	GetImputeMissing ()
	Gets imputeMissing value More...
string[]	GetInputCols ()
	Gets inputCols value More...
int	GetNumFeatures ()
	Gets numFeatures value More...
bool	GetOneHotEncodeCategoricals ()
	Gets oneHotEncodeCategoricals value More...
string	GetOutputCol ()
	Gets outputCol value More...
override PipelineModel	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< Featurize >	Read ()
	Get the corresponding JavaMLReader instance. More...

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

Detailed Description

Featurize implements Featurize

Constructor & Destructor Documentation

Featurize() [1/2]

Synapse.ML.Featurize.Featurize.Featurize ( )

inline

Creates a Featurize without any parameters.

Featurize() [2/2]

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

inline

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

Parameters

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

Member Function Documentation

Fit()

override PipelineModel Synapse.ML.Featurize.Featurize.Fit

(

DataFrame

dataset

)

Fits a model to the input data.

Parameters

dataset

The DataFrame to fit the model to.

Returns

PipelineModel

GetImputeMissing()

bool Synapse.ML.Featurize.Featurize.GetImputeMissing

(

)

Gets imputeMissing value

Returns

imputeMissing: Whether to impute missing values

GetInputCols()

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

(

)

Gets inputCols value

Returns

inputCols: The names of the input columns

GetNumFeatures()

int Synapse.ML.Featurize.Featurize.GetNumFeatures

(

)

Gets numFeatures value

Returns

numFeatures: Number of features to hash string columns to

GetOneHotEncodeCategoricals()

bool Synapse.ML.Featurize.Featurize.GetOneHotEncodeCategoricals

(

)

Gets oneHotEncodeCategoricals value

Returns

oneHotEncodeCategoricals: One-hot encode categorical columns

GetOutputCol()

string Synapse.ML.Featurize.Featurize.GetOutputCol

(

)

Gets outputCol value

Returns

outputCol: The name of the output column

Load()

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

static

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

Parameters

path	The path the previous Featurize was saved to

Returns

New Featurize object, loaded from path.

Read()

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

(

)

Get the corresponding JavaMLReader instance.

Returns

an JavaMLReader<Featurize> instance for this ML instance.

Save()

void Synapse.ML.Featurize.Featurize.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

SetImputeMissing()

Featurize Synapse.ML.Featurize.Featurize.SetImputeMissing

(

bool

value

)

Sets value for imputeMissing

Parameters

value

Whether to impute missing values

Returns

New Featurize object

SetInputCols()

Featurize Synapse.ML.Featurize.Featurize.SetInputCols

(

string[]

value

)

Sets value for inputCols

Parameters

value

The names of the input columns

Returns

New Featurize object

SetNumFeatures()

Featurize Synapse.ML.Featurize.Featurize.SetNumFeatures

(

int

value

)

Sets value for numFeatures

Parameters

value

Number of features to hash string columns to

Returns

New Featurize object

SetOneHotEncodeCategoricals()

Featurize Synapse.ML.Featurize.Featurize.SetOneHotEncodeCategoricals

(

bool

value

)

Sets value for oneHotEncodeCategoricals

Parameters

value

One-hot encode categorical columns

Returns

New Featurize object

SetOutputCol()

Featurize Synapse.ML.Featurize.Featurize.SetOutputCol

(

string

value

)

Sets value for outputCol

Parameters

value

The name of the output column

Returns

New Featurize object

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

• synapse/ml/featurize/Featurize.cs