Save classifier to disk in scikit-learn
How do I save a trained Naive Bayes classifier to disk and use it to predict data?
classification
How to get most informative features for scikit-learn classifiers?
The classifiers in machine learning packages like liblinear and nltk offer a method show_most_informative_features(), which is really helpful for debugging features:
Predict classes or class probabilities?
I am currently using H2O for a classification problem dataset. I am testing it out with H2ORandomForestEstimator in a python 3.6 environment. I noticed the results of the predict method was giving values between 0 to 1(I am assuming this is the probability).
Use scikit-learn to classify into multiple categories
I’m trying to use one of scikit-learn’s supervised learning methods to classify pieces of text into one or more categories. The predict function of all the algorithms I tried just returns one match.