NimbusML
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microsoft
Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
The Windows unit tests are randomly crashing during the CI runs. It does not appear to happen locally (Windows + Python3.7). See [this pull request](https://github.com/microsoft/NimbusML/pull/331) for more information. The following...
Hi, I am looking for the code where i can predict multiclass classification. I have trained code in m.net and predicting in python using nimbusml. here is my sample code....
New transforms added: LagLeadOperator SimpleRollingWindow AnalyticalRollingWindow ShortDrop ForecastingPivot
Currently TreeFeaturizer is generated as a python user class, but it doesnt work, also no samples/tests. The changes to support it would require supporting PredictorModel class in GraphRunner parsing logic...
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...
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...
The expected type for PredictedLabel should be uint32, since ML.NET returns key values, but it's actually int32. `Taken from example code: from nimbusml import Pipeline, FileDataStream from nimbusml.cluster import KMeansPlusPlus...
Fixes #237. Please see #237 for more information.
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...