MultiColumnAdapter implements MultiColumnAdapter
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◆ MultiColumnAdapter() [1/2]
Synapse.ML.Stages.MultiColumnAdapter.MultiColumnAdapter |
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◆ MultiColumnAdapter() [2/2]
Synapse.ML.Stages.MultiColumnAdapter.MultiColumnAdapter |
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◆ Fit()
override PipelineModel Synapse.ML.Stages.MultiColumnAdapter.Fit |
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DataFrame |
dataset | ) |
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Fits a model to the input data.
- Parameters
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dataset | The DataFrame to fit the model to. |
- Returns
- PipelineModel
◆ GetBaseStage()
JavaPipelineStage Synapse.ML.Stages.MultiColumnAdapter.GetBaseStage |
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Gets baseStage value
- Returns
- baseStage: base pipeline stage to apply to every column
◆ GetInputCols()
string [] Synapse.ML.Stages.MultiColumnAdapter.GetInputCols |
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Gets inputCols value
- Returns
- inputCols: list of column names encoded as a string
◆ GetOutputCols()
string [] Synapse.ML.Stages.MultiColumnAdapter.GetOutputCols |
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Gets outputCols value
- Returns
- outputCols: list of column names encoded as a string
◆ Load()
◆ Read()
Get the corresponding JavaMLReader instance.
- Returns
- an JavaMLReader<MultiColumnAdapter> instance for this ML instance.
◆ Save()
void Synapse.ML.Stages.MultiColumnAdapter.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 |
◆ SetBaseStage()
MultiColumnAdapter Synapse.ML.Stages.MultiColumnAdapter.SetBaseStage |
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JavaPipelineStage |
value | ) |
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Sets value for baseStage
- Parameters
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value | base pipeline stage to apply to every column |
- Returns
- New MultiColumnAdapter object
◆ SetInputCols()
Sets value for inputCols
- Parameters
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value | list of column names encoded as a string |
- Returns
- New MultiColumnAdapter object
◆ SetOutputCols()
Sets value for outputCols
- Parameters
-
value | list of column names encoded as a string |
- Returns
- New MultiColumnAdapter object
The documentation for this class was generated from the following file:
- synapse/ml/stages/MultiColumnAdapter.cs