Lambda implements Lambda
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◆ Lambda() [1/2]
Synapse.ML.Stages.Lambda.Lambda |
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inline |
Creates a Lambda without any parameters.
◆ Lambda() [2/2]
Synapse.ML.Stages.Lambda.Lambda |
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string |
uid | ) |
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inline |
Creates a Lambda with a UID that is used to give the Lambda a unique ID.
- Parameters
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uid | An immutable unique ID for the object and its derivatives. |
◆ GetTransformFunc()
object Synapse.ML.Stages.Lambda.GetTransformFunc |
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Gets transformFunc value
- Returns
- transformFunc: holder for dataframe function
◆ GetTransformSchemaFunc()
object Synapse.ML.Stages.Lambda.GetTransformSchemaFunc |
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Gets transformSchemaFunc value
- Returns
- transformSchemaFunc: the output schema after the transformation
◆ Load()
static Lambda Synapse.ML.Stages.Lambda.Load |
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string |
path | ) |
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static |
Loads the Lambda that was previously saved using Save(string).
- Parameters
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path | The path the previous Lambda was saved to |
- Returns
- New Lambda object, loaded from path.
◆ Read()
JavaMLReader<Lambda> Synapse.ML.Stages.Lambda.Read |
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Get the corresponding JavaMLReader instance.
- Returns
- an JavaMLReader<Lambda> instance for this ML instance.
◆ Save()
void Synapse.ML.Stages.Lambda.Save |
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string |
path | ) |
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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 |
◆ SetTransformFunc()
Lambda Synapse.ML.Stages.Lambda.SetTransformFunc |
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object |
value | ) |
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Sets value for transformFunc
- Parameters
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value | holder for dataframe function |
- Returns
- New Lambda object
◆ SetTransformSchemaFunc()
Lambda Synapse.ML.Stages.Lambda.SetTransformSchemaFunc |
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object |
value | ) |
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Sets value for transformSchemaFunc
- Parameters
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value | the output schema after the transformation |
- Returns
- New Lambda object
The documentation for this class was generated from the following file:
- synapse/ml/stages/Lambda.cs