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Showing posts with the label Multinomial

Dealing With Negative Values In Sklearn Multinomialnb

I am normalizing my text input before running MultinomialNB in sklearn like this: vectorizer = Tfid… Read more Dealing With Negative Values In Sklearn Multinomialnb

Scikit-learn - Multinomial Logistic Regression With Probabilities As A Target Variable

I'm implementing a multinomial logistic regression model in Python using scikit-learn. The thin… Read more Scikit-learn - Multinomial Logistic Regression With Probabilities As A Target Variable

Keyerror While Printing Trace In Pymc

I had read that by default some names are assigned to Stochastic vaiables. I am writing the relevan… Read more Keyerror While Printing Trace In Pymc