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machine-learning-library

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

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rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

  • Updated Jun 23, 2021
  • Python
RishabhGarg108
RishabhGarg108 commented Jun 21, 2021

Currently, when data::Split is called on a dataset in which data and labels have different sizes, then the result is undefined. Sometimes, it splits while sometimes it gives segmentation fault while sometimes it throws an out of bound error. Ideally, it should always throw an exception clearly saying that the sizes do not match.

I encountered this while writing a test where I accidentally for

igel
ehoppmann
ehoppmann commented Aug 23, 2019

Our xgboost models use the binary:logistic' objective function, however the m2cgen converted version of the models return raw scores instead of the transformed scores.

This is fine as long as the user knows this is happening! I didn't, so it took a while to figure out what was going on. I'm wondering if perhaps a useful warning could be raised for users to alert them of this issue? A warning

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