pure-predict
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Ibotta
Machine learning prediction in pure Python
**Describe the bug** An error is raised when making an inference with a converted sklearn model built with `CountVectorizer(binary=True)`. It's ok if `binary=False` **To Reproduce** ``` from sklearn.feature_extraction.text import CountVectorizer...
I tried converting pipeline to pure_sklearn. The pipeline consist of TfidfVectorizer and MultinomialNB. The output of TfIdfVectorizer is sparse array as input to MultinomialNB. However, the naive bayes predict method...
Hi, could you kindly add support for converting Stacking Regressors?
`pure_sklearn.map.convert_estimator` function crashes during a conversion of a sklearn unit having a functional variable (a CountVectorizer with a preprocessor parameter in my case). `ValueError: Object contains invalid type: ` **To...
**Describe the bug** In the file: https://github.com/Ibotta/pure-predict/blob/master/pure_sklearn/tree/_classes.py#L37 Line# 37: It seems that "[-1]" at the end is not needed. Otherwise, there will be issues if there are 10 variables or...
