Synapse.ML.Cntk.ImageFeaturizer Class Reference

ImageFeaturizer implements ImageFeaturizer More...

Inheritance diagram for Synapse.ML.Cntk.ImageFeaturizer:

Collaboration diagram for Synapse.ML.Cntk.ImageFeaturizer:

Public Member Functions
	ImageFeaturizer ()
	Creates a ImageFeaturizer without any parameters. More...
	ImageFeaturizer (string uid)
	Creates a ImageFeaturizer with a UID that is used to give the ImageFeaturizer a unique ID. More...
ImageFeaturizer	SetCntkModel (JavaTransformer value)
	Sets value for cntkModel More...
ImageFeaturizer	SetCutOutputLayers (int value)
	Sets value for cutOutputLayers More...
ImageFeaturizer	SetDropNa (bool value)
	Sets value for dropNa More...
ImageFeaturizer	SetInputCol (string value)
	Sets value for inputCol More...
ImageFeaturizer	SetLayerNames (string[] value)
	Sets value for layerNames More...
ImageFeaturizer	SetOutputCol (string value)
	Sets value for outputCol More...
JavaTransformer	GetCntkModel ()
	Gets cntkModel value More...
int	GetCutOutputLayers ()
	Gets cutOutputLayers value More...
bool	GetDropNa ()
	Gets dropNa value More...
string	GetInputCol ()
	Gets inputCol value More...
string []	GetLayerNames ()
	Gets layerNames 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< ImageFeaturizer >	Read ()
	Get the corresponding JavaMLReader instance. More...

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

Detailed Description

ImageFeaturizer implements ImageFeaturizer

Constructor & Destructor Documentation

ImageFeaturizer() [1/2]

Synapse.ML.Cntk.ImageFeaturizer.ImageFeaturizer ( )

inline

Creates a ImageFeaturizer without any parameters.

ImageFeaturizer() [2/2]

Synapse.ML.Cntk.ImageFeaturizer.ImageFeaturizer ( string  uid )

inline

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

Parameters

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

Member Function Documentation

GetCntkModel()

JavaTransformer Synapse.ML.Cntk.ImageFeaturizer.GetCntkModel ( )

inline

Gets cntkModel value

Returns

cntkModel: The internal CNTK model used in the featurizer

GetCutOutputLayers()

int Synapse.ML.Cntk.ImageFeaturizer.GetCutOutputLayers

(

)

Gets cutOutputLayers value

Returns

cutOutputLayers: The number of layers to cut off the end of the network, 0 leaves the network intact, 1 removes the output layer, etc

GetDropNa()

bool Synapse.ML.Cntk.ImageFeaturizer.GetDropNa

(

)

Gets dropNa value

Returns

dropNa: Whether to drop na values before mapping

GetInputCol()

string Synapse.ML.Cntk.ImageFeaturizer.GetInputCol

(

)

Gets inputCol value

Returns

inputCol: The name of the input column

GetLayerNames()

string [] Synapse.ML.Cntk.ImageFeaturizer.GetLayerNames

(

)

Gets layerNames value

Returns

layerNames: Array with valid CNTK nodes to choose from, the first entries of this array should be closer to the output node

GetOutputCol()

string Synapse.ML.Cntk.ImageFeaturizer.GetOutputCol

(

)

Gets outputCol value

Returns

outputCol: The name of the output column

Load()

static ImageFeaturizer Synapse.ML.Cntk.ImageFeaturizer.Load ( string  path )

static

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

Parameters

path	The path the previous ImageFeaturizer was saved to

Returns

New ImageFeaturizer object, loaded from path.

Read()

JavaMLReader<ImageFeaturizer> Synapse.ML.Cntk.ImageFeaturizer.Read

(

)

Get the corresponding JavaMLReader instance.

Returns

an JavaMLReader<ImageFeaturizer> instance for this ML instance.

Save()

void Synapse.ML.Cntk.ImageFeaturizer.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

SetCntkModel()

ImageFeaturizer Synapse.ML.Cntk.ImageFeaturizer.SetCntkModel

(

JavaTransformer

value

)

Sets value for cntkModel

Parameters

value

The internal CNTK model used in the featurizer

Returns

New ImageFeaturizer object

SetCutOutputLayers()

ImageFeaturizer Synapse.ML.Cntk.ImageFeaturizer.SetCutOutputLayers

(

int

value

)

Sets value for cutOutputLayers

Parameters

value

The number of layers to cut off the end of the network, 0 leaves the network intact, 1 removes the output layer, etc

Returns

New ImageFeaturizer object

SetDropNa()

ImageFeaturizer Synapse.ML.Cntk.ImageFeaturizer.SetDropNa

(

bool

value

)

Sets value for dropNa

Parameters

value

Whether to drop na values before mapping

Returns

New ImageFeaturizer object

SetInputCol()

ImageFeaturizer Synapse.ML.Cntk.ImageFeaturizer.SetInputCol

(

string

value

)

Sets value for inputCol

Parameters

value

The name of the input column

Returns

New ImageFeaturizer object

SetLayerNames()

ImageFeaturizer Synapse.ML.Cntk.ImageFeaturizer.SetLayerNames

(

string []

value

)

Sets value for layerNames

Parameters

value

Array with valid CNTK nodes to choose from, the first entries of this array should be closer to the output node

Returns

New ImageFeaturizer object

SetOutputCol()

ImageFeaturizer Synapse.ML.Cntk.ImageFeaturizer.SetOutputCol

(

string

value

)

Sets value for outputCol

Parameters

value

The name of the output column

Returns

New ImageFeaturizer object

---

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

• synapse/ml/cntk/ImageFeaturizer.cs