bartpy
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Bayesian Additive Regression Trees For Python
At the moment, BartPy only supports regression. Chapman et al detail how to expand the model to classification
Thank you so much for this cool package. Would you consider creating a new PyPi release, to incorporate recent commits? Thanks again!
If I use: model = SklearnModel() model.fit(X_train, y_train.to_numpy()) I got 'numpy.ndarray' object has no attribute 'normalizing_scale' this error message. If I use: model = SklearnModel model.fit(X_train, y_train.to_numpy()) I got 'fit()...
some typos I saw when reading through the readme
Since the code is written in pure python, a simple step at the end to improve performance is to compile it all using Cython. It's relatively simple to set up...
Hello, It is quite interesting to have an implementation of BART in python. However, when I tried this implementation with its alternative in R "bartMachine", the alternative was giving more...
according to bartMachine and it's appendix, This seems to be a typo error
Are there plans to add dichotomous outcomes and random intercepts to this model? Another question is how one would incorporate the random intercepts to conditional means for prediction of the...