Synapseml  1.0.2
Public Member Functions | Static Public Member Functions | List of all members
Synapse.ML.Automl.BestModel Class Reference

BestModel implements BestModel More...

Inheritance diagram for Synapse.ML.Automl.BestModel:
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Collaboration diagram for Synapse.ML.Automl.BestModel:
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Public Member Functions

 BestModel ()
 Creates a BestModel without any parameters. More...
 
 BestModel (string uid)
 Creates a BestModel with a UID that is used to give the BestModel a unique ID. More...
 
BestModel SetAllModelMetrics (DataFrame value)
 Sets value for allModelMetrics More...
 
BestModel SetBestModel (JavaTransformer value)
 Sets value for bestModel More...
 
BestModel SetBestModelMetrics (DataFrame value)
 Sets value for bestModelMetrics More...
 
BestModel SetRocCurve (DataFrame value)
 Sets value for rocCurve More...
 
BestModel SetScoredDataset (DataFrame value)
 Sets value for scoredDataset More...
 
DataFrame GetAllModelMetrics ()
 Gets allModelMetrics value More...
 
JavaTransformer GetBestModel ()
 Gets bestModel value More...
 
DataFrame GetBestModelMetrics ()
 Gets bestModelMetrics value More...
 
DataFrame GetRocCurve ()
 Gets rocCurve value More...
 
DataFrame GetScoredDataset ()
 Gets scoredDataset 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< BestModelRead ()
 Get the corresponding JavaMLReader instance. More...
 

Static Public Member Functions

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

Detailed Description

BestModel implements BestModel

Constructor & Destructor Documentation

◆ BestModel() [1/2]

Synapse.ML.Automl.BestModel.BestModel ( )
inline

Creates a BestModel without any parameters.

◆ BestModel() [2/2]

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

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

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

Member Function Documentation

◆ GetAllModelMetrics()

DataFrame Synapse.ML.Automl.BestModel.GetAllModelMetrics ( )

Gets allModelMetrics value

Returns
allModelMetrics: all model metrics

◆ GetBestModel()

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

Gets bestModel value

Returns
bestModel: the best model found

◆ GetBestModelMetrics()

DataFrame Synapse.ML.Automl.BestModel.GetBestModelMetrics ( )

Gets bestModelMetrics value

Returns
bestModelMetrics: the metrics from the best model

◆ GetRocCurve()

DataFrame Synapse.ML.Automl.BestModel.GetRocCurve ( )

Gets rocCurve value

Returns
rocCurve: the roc curve of the best model

◆ GetScoredDataset()

DataFrame Synapse.ML.Automl.BestModel.GetScoredDataset ( )

Gets scoredDataset value

Returns
scoredDataset: dataset scored by best model

◆ Load()

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

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

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

◆ Read()

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

Get the corresponding JavaMLReader instance.

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

◆ Save()

void Synapse.ML.Automl.BestModel.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

◆ SetAllModelMetrics()

BestModel Synapse.ML.Automl.BestModel.SetAllModelMetrics ( DataFrame  value)

Sets value for allModelMetrics

Parameters
valueall model metrics
Returns
New BestModel object

◆ SetBestModel()

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

Sets value for bestModel

Parameters
valuethe best model found
Returns
New BestModel object

◆ SetBestModelMetrics()

BestModel Synapse.ML.Automl.BestModel.SetBestModelMetrics ( DataFrame  value)

Sets value for bestModelMetrics

Parameters
valuethe metrics from the best model
Returns
New BestModel object

◆ SetRocCurve()

BestModel Synapse.ML.Automl.BestModel.SetRocCurve ( DataFrame  value)

Sets value for rocCurve

Parameters
valuethe roc curve of the best model
Returns
New BestModel object

◆ SetScoredDataset()

BestModel Synapse.ML.Automl.BestModel.SetScoredDataset ( DataFrame  value)

Sets value for scoredDataset

Parameters
valuedataset scored by best model
Returns
New BestModel object

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