Implemented interface member:
method
Fit
Microsoft.ML.IEstimator<TTransformer>.Fit(Microsoft.ML.IDataView)
13 references to Fit
Microsoft.ML.Samples (1)
Dynamic\TensorFlow\ImageClassification.cs (1)
48
var estimator = pipeline.
Fit
(idv);
Microsoft.ML.Samples.GPU (1)
docs\samples\Microsoft.ML.Samples\Dynamic\TensorFlow\ImageClassification.cs (1)
48
var estimator = pipeline.
Fit
(idv);
Microsoft.ML.TensorFlow.Tests (11)
TensorFlowEstimatorTests.cs (2)
93
pipe.
Fit
(invalidDataWrongVectorSize);
125
var transformer = est.
Fit
(dataView);
TensorflowTests.cs (9)
200
var trans = tfModel.ScoreTensorFlowModel(new[] { "c" }, new[] { "a", "b" }).
Fit
(loader);
292
var trans = tfModel.ScoreTensorFlowModel(outputs, inputs).
Fit
(loader);
414
var trans = tfModel.ScoreTensorFlowModel(outputs, inputs).
Fit
(loader);
511
var tf = tfModel.ScoreTensorFlowModel(new[] { "detection_boxes", "detection_scores", "num_detections", "detection_classes" }, new[] { "image_tensor" }).
Fit
(pixels).Transform(pixels);
557
var tf = tfModel.ScoreTensorFlowModel(outputName, inputName, true).
Fit
(pixels).Transform(pixels);
1027
var trans = tensorFlowModel.ScoreTensorFlowModel("Output", "Input").
Fit
(pixels);
1079
var trans = tensorFlowModel.ScoreTensorFlowModel("Output", "Input").
Fit
(pixels);
1238
IDataView trans = model.ScoreTensorFlowModel("Output", "Input").
Fit
(pixels).Transform(pixels);
1382
var transformer = _mlContext.Model.CreatePredictionEngine<PrimitiveInput, PrimitiveOutput>(pipeline.
Fit
(dataview));
