Synapseml  0.10.0
Public Member Functions | Static Public Member Functions | List of all members
Synapse.ML.Automl.TuneHyperparametersModel Class Reference

TuneHyperparametersModel implements TuneHyperparametersModel More...

Inheritance diagram for Synapse.ML.Automl.TuneHyperparametersModel:
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Public Member Functions

 TuneHyperparametersModel ()
 Creates a TuneHyperparametersModel without any parameters. More...
 
 TuneHyperparametersModel (string uid)
 Creates a TuneHyperparametersModel with a UID that is used to give the TuneHyperparametersModel a unique ID. More...
 
TuneHyperparametersModel SetBestMetric (double value)
 Sets value for bestMetric More...
 
TuneHyperparametersModel SetBestModel (JavaTransformer value)
 Sets value for bestModel More...
 
double GetBestMetric ()
 Gets bestMetric value More...
 
JavaTransformer GetBestModel ()
 Gets bestModel 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< TuneHyperparametersModelRead ()
 Get the corresponding JavaMLReader instance. More...
 

Static Public Member Functions

static TuneHyperparametersModel Load (string path)
 Loads the TuneHyperparametersModel that was previously saved using Save(string). More...
 

Detailed Description

TuneHyperparametersModel implements TuneHyperparametersModel

Constructor & Destructor Documentation

◆ TuneHyperparametersModel() [1/2]

Synapse.ML.Automl.TuneHyperparametersModel.TuneHyperparametersModel ( )
inline

Creates a TuneHyperparametersModel without any parameters.

◆ TuneHyperparametersModel() [2/2]

Synapse.ML.Automl.TuneHyperparametersModel.TuneHyperparametersModel ( string  uid)
inline

Creates a TuneHyperparametersModel with a UID that is used to give the TuneHyperparametersModel a unique ID.

Parameters
uidAn immutable unique ID for the object and its derivatives.

Member Function Documentation

◆ GetBestMetric()

double Synapse.ML.Automl.TuneHyperparametersModel.GetBestMetric ( )

Gets bestMetric value

Returns
bestMetric: the best metric from the runs

◆ GetBestModel()

JavaTransformer Synapse.ML.Automl.TuneHyperparametersModel.GetBestModel ( )
inline

Gets bestModel value

Returns
bestModel: the best model found

◆ Load()

static TuneHyperparametersModel Synapse.ML.Automl.TuneHyperparametersModel.Load ( string  path)
static

Loads the TuneHyperparametersModel that was previously saved using Save(string).

Parameters
pathThe path the previous TuneHyperparametersModel was saved to
Returns
New TuneHyperparametersModel object, loaded from path.

◆ Read()

JavaMLReader<TuneHyperparametersModel> Synapse.ML.Automl.TuneHyperparametersModel.Read ( )

Get the corresponding JavaMLReader instance.

Returns
an JavaMLReader<TuneHyperparametersModel> instance for this ML instance.

◆ Save()

void Synapse.ML.Automl.TuneHyperparametersModel.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
pathThe path to save the object to

◆ SetBestMetric()

TuneHyperparametersModel Synapse.ML.Automl.TuneHyperparametersModel.SetBestMetric ( double  value)

Sets value for bestMetric

Parameters
valuethe best metric from the runs
Returns
New TuneHyperparametersModel object

◆ SetBestModel()

TuneHyperparametersModel Synapse.ML.Automl.TuneHyperparametersModel.SetBestModel ( JavaTransformer  value)

Sets value for bestModel

Parameters
valuethe best model found
Returns
New TuneHyperparametersModel object

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