Synapseml  1.0.3
Public Member Functions | Static Public Member Functions | List of all members
Synapse.ML.Automl.TuneHyperparameters Class Reference

TuneHyperparameters implements TuneHyperparameters More...

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

 TuneHyperparameters ()
 Creates a TuneHyperparameters without any parameters. More...
 
 TuneHyperparameters (string uid)
 Creates a TuneHyperparameters with a UID that is used to give the TuneHyperparameters a unique ID. More...
 
TuneHyperparameters SetEvaluationMetric (string value)
 Sets value for evaluationMetric More...
 
TuneHyperparameters SetModels (IEstimator< object >[] value)
 Sets value for models More...
 
TuneHyperparameters SetNumFolds (int value)
 Sets value for numFolds More...
 
TuneHyperparameters SetNumRuns (int value)
 Sets value for numRuns More...
 
TuneHyperparameters SetParallelism (int value)
 Sets value for parallelism More...
 
TuneHyperparameters SetParamSpace (object value)
 Sets value for paramSpace More...
 
TuneHyperparameters SetSeed (long value)
 Sets value for seed More...
 
string GetEvaluationMetric ()
 Gets evaluationMetric value More...
 
IEstimator< object >[] GetModels ()
 Gets models value More...
 
int GetNumFolds ()
 Gets numFolds value More...
 
int GetNumRuns ()
 Gets numRuns value More...
 
int GetParallelism ()
 Gets parallelism value More...
 
object GetParamSpace ()
 Gets paramSpace value More...
 
long GetSeed ()
 Gets seed value More...
 
override TuneHyperparametersModel Fit (DataFrame dataset)
 Fits a model to the input data. 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< TuneHyperparametersRead ()
 Get the corresponding JavaMLReader instance. More...
 

Static Public Member Functions

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

Detailed Description

TuneHyperparameters implements TuneHyperparameters

Constructor & Destructor Documentation

◆ TuneHyperparameters() [1/2]

Synapse.ML.Automl.TuneHyperparameters.TuneHyperparameters ( )
inline

Creates a TuneHyperparameters without any parameters.

◆ TuneHyperparameters() [2/2]

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

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

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

Member Function Documentation

◆ Fit()

override TuneHyperparametersModel Synapse.ML.Automl.TuneHyperparameters.Fit ( DataFrame  dataset)

Fits a model to the input data.

Parameters
datasetThe DataFrame to fit the model to.
Returns
TuneHyperparametersModel

◆ GetEvaluationMetric()

string Synapse.ML.Automl.TuneHyperparameters.GetEvaluationMetric ( )

Gets evaluationMetric value

Returns
evaluationMetric: Metric to evaluate models with

◆ GetModels()

IEstimator<object> [] Synapse.ML.Automl.TuneHyperparameters.GetModels ( )
inline

Gets models value

Returns
models: Estimators to run

◆ GetNumFolds()

int Synapse.ML.Automl.TuneHyperparameters.GetNumFolds ( )

Gets numFolds value

Returns
numFolds: Number of folds

◆ GetNumRuns()

int Synapse.ML.Automl.TuneHyperparameters.GetNumRuns ( )

Gets numRuns value

Returns
numRuns: Termination criteria for randomized search

◆ GetParallelism()

int Synapse.ML.Automl.TuneHyperparameters.GetParallelism ( )

Gets parallelism value

Returns
parallelism: The number of models to run in parallel

◆ GetParamSpace()

object Synapse.ML.Automl.TuneHyperparameters.GetParamSpace ( )

Gets paramSpace value

Returns
paramSpace: Parameter space for generating hyperparameters

◆ GetSeed()

long Synapse.ML.Automl.TuneHyperparameters.GetSeed ( )

Gets seed value

Returns
seed: Random number generator seed

◆ Load()

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

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

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

◆ Read()

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

Get the corresponding JavaMLReader instance.

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

◆ Save()

void Synapse.ML.Automl.TuneHyperparameters.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

◆ SetEvaluationMetric()

TuneHyperparameters Synapse.ML.Automl.TuneHyperparameters.SetEvaluationMetric ( string  value)

Sets value for evaluationMetric

Parameters
valueMetric to evaluate models with
Returns
New TuneHyperparameters object

◆ SetModels()

TuneHyperparameters Synapse.ML.Automl.TuneHyperparameters.SetModels ( IEstimator< object >[]  value)

Sets value for models

Parameters
valueEstimators to run
Returns
New TuneHyperparameters object

◆ SetNumFolds()

TuneHyperparameters Synapse.ML.Automl.TuneHyperparameters.SetNumFolds ( int  value)

Sets value for numFolds

Parameters
valueNumber of folds
Returns
New TuneHyperparameters object

◆ SetNumRuns()

TuneHyperparameters Synapse.ML.Automl.TuneHyperparameters.SetNumRuns ( int  value)

Sets value for numRuns

Parameters
valueTermination criteria for randomized search
Returns
New TuneHyperparameters object

◆ SetParallelism()

TuneHyperparameters Synapse.ML.Automl.TuneHyperparameters.SetParallelism ( int  value)

Sets value for parallelism

Parameters
valueThe number of models to run in parallel
Returns
New TuneHyperparameters object

◆ SetParamSpace()

TuneHyperparameters Synapse.ML.Automl.TuneHyperparameters.SetParamSpace ( object  value)

Sets value for paramSpace

Parameters
valueParameter space for generating hyperparameters
Returns
New TuneHyperparameters object

◆ SetSeed()

TuneHyperparameters Synapse.ML.Automl.TuneHyperparameters.SetSeed ( long  value)

Sets value for seed

Parameters
valueRandom number generator seed
Returns
New TuneHyperparameters object

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