ahallermed

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`loc` on a dataframe with multiindex row index filtering for multilevel key removes multiindex (one key) or raises KeyError (several keys)

@mvashishtha Thank you for the simplification of the examples and the fast reply!

Single layer Keras LSTM converted to loop instead of ONNX LSTM op

@JonTriebenbach I had the same issue with tensorflow==2.7.0 and tf2onnx==1.9.2. A simple upgrade from to tf2onnx==1.9.3 solved the issue, that lstms are shown as loops. At least for me.

add python 3.10 compatibility

Short reminder for @Qwlouse . Can you push the new version to PyPI? I am very keen on using the new version. Thank in advance!

Documentation for custom metrics with Prometheus is outdated

Gets fixed by this pull request #1961 and can be closed after it is merged.

How to solve Feature name error while converting an XGBClassifier model to ONNX?

I came across the same issue. The converter expects no feature names or one that are "0", "1", ... or "f0", "f1", "f3". You can work around this issue by...

How to solve Feature name error while converting an XGBClassifier model to ONNX?

Here is a minimal example with which I can reproduce this error (xgboost version 1.7.5): ```python # %% from onnxmltools import convert_xgboost from skl2onnx.common.data_types import FloatTensorType from xgboost.sklearn import XGBClassifier...