Antonio Velázquez

Problem downloading the dataset for F#'s Image Classification Model Training sample

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When running this sample, I get the exception below, indicating there's some problem when downloading the `flower_photos_small_set.zip` dataset: ``` Unhandled exception. System.Net.WebException: No such host is known. No such host...

As mentioned by this ML.NET user, the way the [Iris Multiclassification sample](https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started/MulticlassClassification_Iris) reuses the "Label" column is confusing: https://github.com/dotnet/machinelearning/issues/5264#issuecomment-652487403. The problem is that in the sample, we have this: ```C#...

The docs on https://docs.microsoft.com/en-us/nimbusml/concepts/metrics#multiclass-classification-metrics are wrong since it states the following: ``` This corresponds to evaltype=’multiclass’. [...] (class N) - Accuracy of class N ``` Problem is that the `(class...

This issue in NimbusML is pretty much the same issue I created on ML.NET https://github.com/dotnet/machinelearning/issues/4970 but wanted to create this one here just for the record. Notice that the OnnxRunner...

Mismatch in output of onnx exported CharTokenizer model

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The onnx export test for `CharTokenizer` is failing in the current tests so it has been disabled ([link](https://github.com/microsoft/NimbusML/blob/1b7c3990df6c87f5ce31e0c05df50b01e8e5001f/src/python/tests_extended/test_export_to_onnx.py#L153)). The output comming from ML.NET, OnnxRunner, and ORT on that test are...

Output of Label Column when applying ONNX model is not as expected

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When creating ONNX models for classifiers, using NimbusML, and then applying them either with `OnnxRunner `(aka `OnnxTransformer `from ML.NET) or directly using Onnx runtime (aka ORT) python's API, then we...

The documentation for the Handler class ([link](https://docs.microsoft.com/en-us/python/api/nimbusml/nimbusml.preprocessing.missing_values.handler?view=nimbusml-py-latest)) mentions the following for the "replace_with" parameter: > **replace_with** > > The method to use to replace NaN values. The following choices are...