14 references to ScoreTensorFlowModel
Microsoft.ML.Samples (1)
Dynamic\TensorFlow\ImageClassification.cs (1)
43
var pipeline = model.
ScoreTensorFlowModel
(
Microsoft.ML.Samples.GPU (1)
docs\samples\Microsoft.ML.Samples\Dynamic\TensorFlow\ImageClassification.cs (1)
43
var pipeline = model.
ScoreTensorFlowModel
(
Microsoft.ML.TensorFlow.Tests (12)
TensorFlowEstimatorTests.cs (3)
82
var pipe = model.
ScoreTensorFlowModel
(new[] { "c" }, new[] { "a", "b" });
124
var est = model.
ScoreTensorFlowModel
(new[] { "c" }, new[] { "a", "b" });
291
model1.
ScoreTensorFlowModel
(new[] { "c" }, new[] { "a", "b" });
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);
669
.Append(_mlContext.Model.LoadTensorFlowModel("mnist_model/frozen_saved_model.pb").
ScoreTensorFlowModel
(new[] { "Softmax", "dense/Relu" }, new[] { "Placeholder", "reshape_input" }))
893
.Append(_mlContext.Model.LoadTensorFlowModel("mnist_model").
ScoreTensorFlowModel
(new[] { "Softmax", "dense/Relu" }, new[] { "Placeholder", "reshape_input" }))
1289
using var pipelineModel = _mlContext.Model.LoadTensorFlowModel(modelLocation).
ScoreTensorFlowModel
(new[] { "Prediction/Softmax" }, new[] { "Features" })
1350
var pipeline = tensorFlowModel.
ScoreTensorFlowModel
(new[] { "Original_A", "Joined_Splited_Text" }, new[] { "A", "B" })
1379
var pipeline = tensorFlowModel.
ScoreTensorFlowModel
(