Platform limitations

While ML.NET is cross-platform, there are some limitations for specific platforms as outlined in the chart below.

	Training	Inference
Windows	Yes	Yes
Linux	Yes	Yes
macOS	Yes	Yes
ARM64 / Apple M1	Yes, with limitations. The following are not supported: Symbolic SGD TensorFlow OLS TimeSeries SSA TimeSeries SrCNN ONNX* Light GBM* *You can add support by compiling (no pre-compiled binaries provided).	Yes, with limitations. The following are not supported: Symbolic SGD TensorFlow OLS TimeSeries SSA TimeSeries SrCNN ONNX
Blazor WASM	Yes, with limitations. The following are not supported: Symbolic SGD TensorFlow OLS TimeSeries SSA TimeSeries SrCNN ONNX Light GBM LDA Matrix Factorization Note: You must currently set the `EnableMLUnsupportedPlatformTargetCheck` flag to `false` to use ML.NET in Blazor.	Yes, with limitations. The following are not supported: Symbolic SGD TensorFlow OLS TimeSeries SSA TimeSeries SrCNN ONNX Light GBM LDA Matrix Factorization

Note: All the limitations listed above will throw a DLL not found exception.

If you are blocked by any of these limitations or would like to see different behavior when hitting them, please let us know by filing an issue.

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