ImageFeaturizer implements ImageFeaturizer More...

Inheritance diagram for Synapse.ML.Onnx.ImageFeaturizer:

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Collaboration diagram for Synapse.ML.Onnx.ImageFeaturizer:

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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	SetAutoConvertToColor (bool value)
	Sets value for autoConvertToColor More...

ImageFeaturizer	SetChannelNormalizationMeans (double[] value)
	Sets value for channelNormalizationMeans More...

ImageFeaturizer	SetChannelNormalizationStds (double[] value)
	Sets value for channelNormalizationStds More...

ImageFeaturizer	SetColorScaleFactor (double value)
	Sets value for colorScaleFactor More...

ImageFeaturizer	SetDropNa (bool value)
	Sets value for dropNa More...

ImageFeaturizer	SetFeatureTensorName (string value)
	Sets value for featureTensorName More...

ImageFeaturizer	SetHeadless (bool value)
	Sets value for headless More...

ImageFeaturizer	SetIgnoreDecodingErrors (bool value)
	Sets value for ignoreDecodingErrors More...

ImageFeaturizer	SetImageHeight (int value)
	Sets value for imageHeight More...

ImageFeaturizer	SetImageTensorName (string value)
	Sets value for imageTensorName More...

ImageFeaturizer	SetImageWidth (int value)
	Sets value for imageWidth More...

ImageFeaturizer	SetInputCol (string value)
	Sets value for inputCol More...

ImageFeaturizer	SetOnnxModel (JavaTransformer value)
	Sets value for onnxModel More...

ImageFeaturizer	SetOutputCol (string value)
	Sets value for outputCol More...

ImageFeaturizer	SetOutputTensorName (string value)
	Sets value for outputTensorName More...

bool	GetAutoConvertToColor ()
	Gets autoConvertToColor value More...

double[]	GetChannelNormalizationMeans ()
	Gets channelNormalizationMeans value More...

double[]	GetChannelNormalizationStds ()
	Gets channelNormalizationStds value More...

double	GetColorScaleFactor ()
	Gets colorScaleFactor value More...

bool	GetDropNa ()
	Gets dropNa value More...

string	GetFeatureTensorName ()
	Gets featureTensorName value More...

bool	GetHeadless ()
	Gets headless value More...

bool	GetIgnoreDecodingErrors ()
	Gets ignoreDecodingErrors value More...

int	GetImageHeight ()
	Gets imageHeight value More...

string	GetImageTensorName ()
	Gets imageTensorName value More...

int	GetImageWidth ()
	Gets imageWidth value More...

string	GetInputCol ()
	Gets inputCol value More...

JavaTransformer	GetOnnxModel ()
	Gets onnxModel value More...

string	GetOutputCol ()
	Gets outputCol value More...

string	GetOutputTensorName ()
	Gets outputTensorName 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.Onnx.ImageFeaturizer.ImageFeaturizer ( )

inline

Creates a ImageFeaturizer without any parameters.

◆ ImageFeaturizer() [2/2]

Synapse.ML.Onnx.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

◆ GetAutoConvertToColor()

bool Synapse.ML.Onnx.ImageFeaturizer.GetAutoConvertToColor ( )

Gets autoConvertToColor value

Returns: autoConvertToColor: Whether to automatically convert black and white images to color. default = true

◆ GetChannelNormalizationMeans()

double [] Synapse.ML.Onnx.ImageFeaturizer.GetChannelNormalizationMeans ( )

Gets channelNormalizationMeans value

Returns: channelNormalizationMeans: Normalization means for color channels

◆ GetChannelNormalizationStds()

double [] Synapse.ML.Onnx.ImageFeaturizer.GetChannelNormalizationStds ( )

Gets channelNormalizationStds value

Returns: channelNormalizationStds: Normalization std's for color channels

◆ GetColorScaleFactor()

double Synapse.ML.Onnx.ImageFeaturizer.GetColorScaleFactor ( )

Gets colorScaleFactor value

Returns: colorScaleFactor: Color scale factor

◆ GetDropNa()

bool Synapse.ML.Onnx.ImageFeaturizer.GetDropNa ( )

Gets dropNa value

Returns: dropNa: Whether to drop na values before mapping

◆ GetFeatureTensorName()

string Synapse.ML.Onnx.ImageFeaturizer.GetFeatureTensorName ( )

Gets featureTensorName value

Returns: featureTensorName: the name of the tensor to include in the fetch dict

◆ GetHeadless()

bool Synapse.ML.Onnx.ImageFeaturizer.GetHeadless ( )

Gets headless value

Returns: headless: whether to use the feature tensor or the output tensor

◆ GetIgnoreDecodingErrors()

bool Synapse.ML.Onnx.ImageFeaturizer.GetIgnoreDecodingErrors ( )

Gets ignoreDecodingErrors value

Returns: ignoreDecodingErrors: Whether to throw on decoding errors or just return None

◆ GetImageHeight()

int Synapse.ML.Onnx.ImageFeaturizer.GetImageHeight ( )

Gets imageHeight value

Returns: imageHeight: Size required by model

◆ GetImageTensorName()

string Synapse.ML.Onnx.ImageFeaturizer.GetImageTensorName ( )

Gets imageTensorName value

Returns: imageTensorName: the name of the tensor to include in the fetch dict

◆ GetImageWidth()

int Synapse.ML.Onnx.ImageFeaturizer.GetImageWidth ( )

Gets imageWidth value

Returns: imageWidth: Size required by model

◆ GetInputCol()

string Synapse.ML.Onnx.ImageFeaturizer.GetInputCol ( )

Gets inputCol value

Returns: inputCol: The name of the input column

◆ GetOnnxModel()

JavaTransformer Synapse.ML.Onnx.ImageFeaturizer.GetOnnxModel ( )

inline

Gets onnxModel value

Returns: onnxModel: The internal ONNX model used in the featurizer

◆ GetOutputCol()

string Synapse.ML.Onnx.ImageFeaturizer.GetOutputCol ( )

Gets outputCol value

Returns: outputCol: The name of the output column

◆ GetOutputTensorName()

string Synapse.ML.Onnx.ImageFeaturizer.GetOutputTensorName ( )

Gets outputTensorName value

Returns: outputTensorName: the name of the tensor to include in the fetch dict

◆ Load()

static ImageFeaturizer Synapse.ML.Onnx.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.Onnx.ImageFeaturizer.Read ( )

Get the corresponding JavaMLReader instance.

Returns: an JavaMLReader<ImageFeaturizer> instance for this ML instance.

◆ Save()

void Synapse.ML.Onnx.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

◆ SetAutoConvertToColor()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetAutoConvertToColor ( bool value )

Sets value for autoConvertToColor

Parameters

value Whether to automatically convert black and white images to color. default = true

Returns: New ImageFeaturizer object

◆ SetChannelNormalizationMeans()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetChannelNormalizationMeans ( double[] value )

Sets value for channelNormalizationMeans

Parameters

value Normalization means for color channels

Returns: New ImageFeaturizer object

◆ SetChannelNormalizationStds()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetChannelNormalizationStds ( double[] value )

Sets value for channelNormalizationStds

Parameters

value Normalization std's for color channels

Returns: New ImageFeaturizer object

◆ SetColorScaleFactor()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetColorScaleFactor ( double value )

Sets value for colorScaleFactor

Parameters

value Color scale factor

Returns: New ImageFeaturizer object

◆ SetDropNa()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetDropNa ( bool value )

Sets value for dropNa

Parameters

value Whether to drop na values before mapping

Returns: New ImageFeaturizer object

◆ SetFeatureTensorName()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetFeatureTensorName ( string value )

Sets value for featureTensorName

Parameters

value the name of the tensor to include in the fetch dict

Returns: New ImageFeaturizer object

◆ SetHeadless()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetHeadless ( bool value )

Sets value for headless

Parameters

value whether to use the feature tensor or the output tensor

Returns: New ImageFeaturizer object

◆ SetIgnoreDecodingErrors()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetIgnoreDecodingErrors ( bool value )

Sets value for ignoreDecodingErrors

Parameters

value Whether to throw on decoding errors or just return None

Returns: New ImageFeaturizer object

◆ SetImageHeight()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetImageHeight ( int value )

Sets value for imageHeight

Parameters

value Size required by model

Returns: New ImageFeaturizer object

◆ SetImageTensorName()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetImageTensorName ( string value )

Sets value for imageTensorName

Parameters

value the name of the tensor to include in the fetch dict

Returns: New ImageFeaturizer object

◆ SetImageWidth()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetImageWidth ( int value )

Sets value for imageWidth

Parameters

value Size required by model

Returns: New ImageFeaturizer object

◆ SetInputCol()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetInputCol ( string value )

Sets value for inputCol

Parameters

value The name of the input column

Returns: New ImageFeaturizer object

◆ SetOnnxModel()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetOnnxModel ( JavaTransformer value )

Sets value for onnxModel

Parameters

value The internal ONNX model used in the featurizer

Returns: New ImageFeaturizer object

◆ SetOutputCol()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetOutputCol ( string value )

Sets value for outputCol

Parameters

value The name of the output column

Returns: New ImageFeaturizer object

◆ SetOutputTensorName()

ImageFeaturizer Synapse.ML.Onnx.ImageFeaturizer.SetOutputTensorName ( string value )

Sets value for outputTensorName

Parameters

value the name of the tensor to include in the fetch dict

Returns: New ImageFeaturizer object

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

synapse/ml/onnx/ImageFeaturizer.cs

Public Member Functions

Static Public Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ ImageFeaturizer() [1/2]

◆ ImageFeaturizer() [2/2]

Member Function Documentation

◆ GetAutoConvertToColor()

◆ GetChannelNormalizationMeans()

◆ GetChannelNormalizationStds()

◆ GetColorScaleFactor()

◆ GetDropNa()

◆ GetFeatureTensorName()

◆ GetHeadless()

◆ GetIgnoreDecodingErrors()

◆ GetImageHeight()

◆ GetImageTensorName()

◆ GetImageWidth()

◆ GetInputCol()

◆ GetOnnxModel()

◆ GetOutputCol()

◆ GetOutputTensorName()

◆ Load()

◆ Read()

◆ Save()

◆ SetAutoConvertToColor()

◆ SetChannelNormalizationMeans()

◆ SetChannelNormalizationStds()

◆ SetColorScaleFactor()

◆ SetDropNa()

◆ SetFeatureTensorName()

◆ SetHeadless()

◆ SetIgnoreDecodingErrors()

◆ SetImageHeight()

◆ SetImageTensorName()

◆ SetImageWidth()

◆ SetInputCol()

◆ SetOnnxModel()

◆ SetOutputCol()

◆ SetOutputTensorName()