AutoMLExperimentExtension.SetDataset Method
Definition
Important
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Overloads
| SetDataset(AutoMLExperiment, DataOperationsCatalog+TrainTestData) |
Set train and validation dataset for AutoMLExperiment. This will make AutoMLExperiment uses TrainSet from |
| SetDataset(AutoMLExperiment, IDataView, IDataView, Boolean) |
Set train and validation dataset for AutoMLExperiment. This will make AutoMLExperiment uses |
| SetDataset(AutoMLExperiment, IDataView, Int32, String) |
Set cross-validation dataset for AutoMLExperiment. This will make AutoMLExperiment use n= |
SetDataset(AutoMLExperiment, DataOperationsCatalog+TrainTestData)
Set train and validation dataset for AutoMLExperiment. This will make AutoMLExperiment uses TrainSet from trainValidationSplit
to train a model, and use TestSet from trainValidationSplit to evaluate the model.
public static Microsoft.ML.AutoML.AutoMLExperiment SetDataset (this Microsoft.ML.AutoML.AutoMLExperiment experiment, Microsoft.ML.DataOperationsCatalog.TrainTestData trainValidationSplit);static member SetDataset : Microsoft.ML.AutoML.AutoMLExperiment * Microsoft.ML.DataOperationsCatalog.TrainTestData -> Microsoft.ML.AutoML.AutoMLExperiment<Extension()>
Public Function SetDataset (experiment As AutoMLExperiment, trainValidationSplit As DataOperationsCatalog.TrainTestData) As AutoMLExperimentParameters
- experiment
- AutoMLExperiment
- trainValidationSplit
- DataOperationsCatalog.TrainTestData
a DataOperationsCatalog.TrainTestData for train and validation.
Returns
Applies to
SetDataset(AutoMLExperiment, IDataView, IDataView, Boolean)
Set train and validation dataset for AutoMLExperiment. This will make AutoMLExperiment uses train
to train a model, and use validation to evaluate the model.
public static Microsoft.ML.AutoML.AutoMLExperiment SetDataset (this Microsoft.ML.AutoML.AutoMLExperiment experiment, Microsoft.ML.IDataView train, Microsoft.ML.IDataView validation, bool subSamplingTrainDataset = false);static member SetDataset : Microsoft.ML.AutoML.AutoMLExperiment * Microsoft.ML.IDataView * Microsoft.ML.IDataView * bool -> Microsoft.ML.AutoML.AutoMLExperiment<Extension()>
Public Function SetDataset (experiment As AutoMLExperiment, train As IDataView, validation As IDataView, Optional subSamplingTrainDataset As Boolean = false) As AutoMLExperimentParameters
- experiment
- AutoMLExperiment
- train
- IDataView
dataset for training a model.
- validation
- IDataView
dataset for validating a model during training.
- subSamplingTrainDataset
- Boolean
determine if subsampling train to train. This will be useful if train is too large to be held in memory.
Returns
Applies to
SetDataset(AutoMLExperiment, IDataView, Int32, String)
Set cross-validation dataset for AutoMLExperiment. This will make AutoMLExperiment use n=fold cross-validation split on dataset
to train and evaluate a model.
public static Microsoft.ML.AutoML.AutoMLExperiment SetDataset (this Microsoft.ML.AutoML.AutoMLExperiment experiment, Microsoft.ML.IDataView dataset, int fold = 10, string samplingKeyColumnName = default);static member SetDataset : Microsoft.ML.AutoML.AutoMLExperiment * Microsoft.ML.IDataView * int * string -> Microsoft.ML.AutoML.AutoMLExperiment<Extension()>
Public Function SetDataset (experiment As AutoMLExperiment, dataset As IDataView, Optional fold As Integer = 10, Optional samplingKeyColumnName As String = Nothing) As AutoMLExperimentParameters
- experiment
- AutoMLExperiment
- dataset
- IDataView
dataset for cross-validation split.
- fold
- Int32
number of cross-validation folds
- samplingKeyColumnName
- String
column name for sampling key