UnrollBinaryImage implements UnrollBinaryImage
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◆ UnrollBinaryImage() [1/2]
Synapse.ML.Image.UnrollBinaryImage.UnrollBinaryImage |
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◆ UnrollBinaryImage() [2/2]
Synapse.ML.Image.UnrollBinaryImage.UnrollBinaryImage |
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◆ GetHeight()
int Synapse.ML.Image.UnrollBinaryImage.GetHeight |
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Gets height value
- Returns
- height: the width of the image
◆ GetInputCol()
string Synapse.ML.Image.UnrollBinaryImage.GetInputCol |
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Gets inputCol value
- Returns
- inputCol: The name of the input column
◆ GetNChannels()
int Synapse.ML.Image.UnrollBinaryImage.GetNChannels |
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Gets nChannels value
- Returns
- nChannels: the number of channels of the target image
◆ GetOutputCol()
string Synapse.ML.Image.UnrollBinaryImage.GetOutputCol |
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Gets outputCol value
- Returns
- outputCol: The name of the output column
◆ GetWidth()
int Synapse.ML.Image.UnrollBinaryImage.GetWidth |
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Gets width value
- Returns
- width: the width of the image
◆ Load()
◆ Read()
Get the corresponding JavaMLReader instance.
- Returns
- an JavaMLReader<UnrollBinaryImage> instance for this ML instance.
◆ Save()
void Synapse.ML.Image.UnrollBinaryImage.Save |
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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
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path | The path to save the object to |
◆ SetHeight()
Sets value for height
- Parameters
-
value | the width of the image |
- Returns
- New UnrollBinaryImage object
◆ SetInputCol()
Sets value for inputCol
- Parameters
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value | The name of the input column |
- Returns
- New UnrollBinaryImage object
◆ SetNChannels()
Sets value for nChannels
- Parameters
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value | the number of channels of the target image |
- Returns
- New UnrollBinaryImage object
◆ SetOutputCol()
Sets value for outputCol
- Parameters
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value | The name of the output column |
- Returns
- New UnrollBinaryImage object
◆ SetWidth()
Sets value for width
- Parameters
-
value | the width of the image |
- Returns
- New UnrollBinaryImage object
The documentation for this class was generated from the following file:
- synapse/ml/image/UnrollBinaryImage.cs