TrainedRegressorModel implements TrainedRegressorModel More...
Inheritance diagram for Synapse.ML.Train.TrainedRegressorModel:
Collaboration diagram for Synapse.ML.Train.TrainedRegressorModel:
Public Member Functions | |
| TrainedRegressorModel () | |
| Creates a TrainedRegressorModel without any parameters. More... | |
| TrainedRegressorModel (string uid) | |
| Creates a TrainedRegressorModel with a UID that is used to give the TrainedRegressorModel a unique ID. More... | |
| TrainedRegressorModel | SetFeaturesCol (string value) |
| Sets value for featuresCol More... | |
| TrainedRegressorModel | SetLabelCol (string value) |
| Sets value for labelCol More... | |
| TrainedRegressorModel | SetModel (JavaTransformer value) |
| Sets value for model More... | |
| string | GetFeaturesCol () |
| Gets featuresCol value More... | |
| string | GetLabelCol () |
| Gets labelCol value More... | |
| JavaTransformer | GetModel () |
| Gets model 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 () |
| |
| JavaMLReader< TrainedRegressorModel > | Read () |
| Get the corresponding JavaMLReader instance. More... | |
Static Public Member Functions | |
| static TrainedRegressorModel | Load (string path) |
| Loads the TrainedRegressorModel that was previously saved using Save(string). More... | |
Detailed Description
TrainedRegressorModel implements TrainedRegressorModel
Constructor & Destructor Documentation
◆ TrainedRegressorModel() [1/2]
|
inline |
Creates a TrainedRegressorModel without any parameters.
◆ TrainedRegressorModel() [2/2]
|
inline |
Creates a TrainedRegressorModel with a UID that is used to give the TrainedRegressorModel a unique ID.
- Parameters
-
uid An immutable unique ID for the object and its derivatives.
Member Function Documentation
◆ GetFeaturesCol()
| string Synapse.ML.Train.TrainedRegressorModel.GetFeaturesCol | ( | ) |
Gets featuresCol value
- Returns
- featuresCol: The name of the features column
◆ GetLabelCol()
| string Synapse.ML.Train.TrainedRegressorModel.GetLabelCol | ( | ) |
Gets labelCol value
- Returns
- labelCol: The name of the label column
◆ GetModel()
|
inline |
Gets model value
- Returns
- model: model produced by training
◆ Load()
|
static |
Loads the TrainedRegressorModel that was previously saved using Save(string).
- Parameters
-
path The path the previous TrainedRegressorModel was saved to
- Returns
- New TrainedRegressorModel object, loaded from path.
◆ Read()
| JavaMLReader<TrainedRegressorModel> Synapse.ML.Train.TrainedRegressorModel.Read | ( | ) |
Get the corresponding JavaMLReader instance.
- Returns
- an JavaMLReader<TrainedRegressorModel> instance for this ML instance.
◆ Save()
| void Synapse.ML.Train.TrainedRegressorModel.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
◆ SetFeaturesCol()
| TrainedRegressorModel Synapse.ML.Train.TrainedRegressorModel.SetFeaturesCol | ( | string | value | ) |
Sets value for featuresCol
- Parameters
-
value The name of the features column
- Returns
- New TrainedRegressorModel object
◆ SetLabelCol()
| TrainedRegressorModel Synapse.ML.Train.TrainedRegressorModel.SetLabelCol | ( | string | value | ) |
Sets value for labelCol
- Parameters
-
value The name of the label column
- Returns
- New TrainedRegressorModel object
◆ SetModel()
| TrainedRegressorModel Synapse.ML.Train.TrainedRegressorModel.SetModel | ( | JavaTransformer | value | ) |
Sets value for model
- Parameters
-
value model produced by training
- Returns
- New TrainedRegressorModel object
The documentation for this class was generated from the following file:
- synapse/ml/train/TrainedRegressorModel.cs
