treeinterpreter
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andosa
Hi, I'm working on a project where treeinterpreter is taking ~2 minutes per prediction. I suppose this is because the implementation is in pure Python. Do you know if anyone...
Happens when training on batched data with warm_start = True and the data is unbalanced. Error: ``` /Users/x/anaconda3/lib/python3.7/site-packages/numpy/core/_asarray.py:136: VisibleDeprecationWarning: **Creating an ndarray from ragged nested sequences (which is a list-or-tuple...
This pull request includes implementation of treeinterpretor for scikit's gradient boosting. Note about the GBT Classifier: a function is applied to convert scores to probas (usually a logistic function), so...
Is there a minimum Python version recommended for this package? Would be useful to know it for future conda-forge builds, see for instance https://github.com/conda-forge/treeinterpreter-feedstock/pull/1#issuecomment-757550583
I still get the sklearn deprecation warning about sklearn.ensemble.forest, and when I ran `pip install --upgrade treeinterpreter`, I got the message that I was already up-to-date.
Currently, we couln't able to use the sklearn's pipeline objects directly in treeinterpreter. possible work around is provided [here](https://stackoverflow.com/a/65070947/6347629). Can it be possible to support it natively?
See https://github.com/conda-forge/staged-recipes/pull/12777#discussion_r498938521
fixed tab. add n_cores. If n_cores>1 run a classic pool.loop speed up the code
Hi team, As I'm testing the `treeinterpreter` module for random forest from the home example code, the last code for examing the random forest prediction and using the interpreter results...
Closes #25. This is based on this article http://www.software.ac.uk/blog/2013-09-02-encouraging-citation-software-introducing-citation-files
