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Showing posts with the label Multinomial
Scikit-learn - Multinomial Logistic Regression With Probabilities As A Target Variable

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

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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
Improve Flow Python Classifier And Combine Features

Improve Flow Python Classifier And Combine Features

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I am trying to create a classifier to categorize websites. I am doing this for the very first time … Read more Improve Flow Python Classifier And Combine Features
Dealing With Negative Values In Sklearn Multinomialnb

Dealing With Negative Values In Sklearn Multinomialnb

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