Sandy4321
Sandy4321
do you support regularization to get sparse coefficients at least LASSO
what is nb? https://skope-rules.readthedocs.io/en/latest/skope_rules.html For example skope_rules_clf.rules_ [('Pclass 0.5', (0.9527320854603895, 0.5283115637180831, 6))] rules_(dict of tuples (rule, precision, recall, nb).) The collection of n_estimators rules used in the predict method. The...
is it working for with categorical data ? do you have example or maybe categorical values data should be transformed to one hot data and then data may be considered...
can you share some description how it works from theoretical point of view and comparative performance vs known other repos like https://github.com/fingoldin/pycorels https://github.com/csinva/interpretability-implementations-demos/tree/master/imodels/bayesian_rule_lists https://pypi.org/project/pyarc/ https://github.com/jirifilip/pyIDS etc...
can you help to clarify how to set parameters 1 to limit number of rules 2 to limit number of conditions in rules like done in by use of max_card=2,...
why you did not used lstm in Product RNN mixture model (code): an RNN similar to the first model, but instead trained to maximize the likelihood of a bernoulli mixture...
many people coding python it would be very kind of you to share this code in python thanks
still is not clear is it better than chi^2 or mutual info?
this link https://cmusphinx.github.io/2014/09/lium-releases-tedlium-corpus-version-2/ suggests new data but referred link is broken http://www-lium.univ-lemans.fr/en/content/ted-lium-corpus
great code thanks may you clarify : will it work for multivariate time series prediction both regression and classification 1 where all values are continues values weight height age target...