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A) Look in example: var pipeline = new LearningPipeline(seed: 1); LearningPiepline actually don't have seed parameter
B) OutputColumns = "Output" OutputColumns is actually array, so you can't pass just string to it.
C) This transform requires the <a href="https://dotnet.myget.org/feed/dotnet-core/package/nuget/Microsoft.ML.TensorFlow/0.5.0-preview-26830-5">Microsoft.ML.TensorFlow</a> nuget to be installed.
I'm not sure we should include links to preview nuget package
D) The transform currently accepts the <a href="https://www.tensorflow.org/mobile/prepare_models">frozen TensorFlow model</a> file as input.
I think we support frozen and non frozen models.
The text was updated successfully, but these errors were encountered:
https://github.com/dotnet/machinelearning/blob/master/src/Microsoft.ML.TensorFlow/doc.xml
A) Look in example:
var pipeline = new LearningPipeline(seed: 1);
LearningPiepline actually don't have seed parameterB)
OutputColumns = "Output"
OutputColumns is actually array, so you can't pass just string to it.C)
This transform requires the <a href="https://dotnet.myget.org/feed/dotnet-core/package/nuget/Microsoft.ML.TensorFlow/0.5.0-preview-26830-5">Microsoft.ML.TensorFlow</a> nuget to be installed.
I'm not sure we should include links to preview nuget package
D)
The transform currently accepts the <a href="https://www.tensorflow.org/mobile/prepare_models">frozen TensorFlow model</a> file as input.
I think we support frozen and non frozen models.
The text was updated successfully, but these errors were encountered: