From c095eca8801f241f2d40b9c80899f5e1f5015745 Mon Sep 17 00:00:00 2001 From: Cesar De la Torre Llorente Date: Sun, 8 Jul 2018 19:09:14 -0700 Subject: [PATCH] Update Onnx Convert documentation, limited to ONNX-ML target platforms --- src/Microsoft.ML/Models/OnnxConverter.cs | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/src/Microsoft.ML/Models/OnnxConverter.cs b/src/Microsoft.ML/Models/OnnxConverter.cs index dd8ca383fd..f9c1b9dc0a 100644 --- a/src/Microsoft.ML/Models/OnnxConverter.cs +++ b/src/Microsoft.ML/Models/OnnxConverter.cs @@ -13,11 +13,10 @@ public sealed partial class OnnxConverter /// ONNX is an intermediate representation format /// for machine learning models. It is used to make models portable such that you can /// train a model using a toolkit and run it in another tookit's runtime, for example, - /// you can create a model using ML.NET (or any ONNX compatible toolkit), convert it to ONNX and - /// then the ONNX model can be converted into say, CoreML, TensorFlow or WinML model - /// to run on the respective runtime. + /// you can create a model using ML.NET, export it to an ONNX-ML model file, + /// then load and run that ONNX-ML model in Windows ML, on an UWP Windows 10 app. /// - /// This API converts an ML.NET model to ONNX format by inspecting the transform pipeline + /// This API converts an ML.NET model to ONNX-ML format by inspecting the transform pipeline /// from the end, checking for components that know how to save themselves as ONNX. /// The first item in the transform pipeline that does not know how to save itself /// as ONNX, is considered the "input" to the ONNX pipeline. (Ideally this would be the