Once you create a trained model, you need to save it for production use. Python makes this very easy, you just pickle()
it.
First, import the
pickle
library:import pickle
Next, pickle the logistic regression model:
hearts_classifier_file = "/Users/robertdempsey/Dropbox/private/Python Business Intelligence Cookbook/Models/hearts_lr_classifier_09.27.15.dat" pickle.dump(logClassifier, open(hearts_classifier_file, "wb"))
Next, pickle the random forest model:
hearts_classifier_file = "/Users/robertdempsey/Dropbox/private/Python Business Intelligence Cookbook/Models/hearts_rf_classifier_09.27.15.dat" pickle.dump(rfClassifier, open(hearts_classifier_file, "wb"))
After that, pickle the SVM Model:
hearts_classifier_file = "/Users/robertdempsey/Dropbox/private/Python Business Intelligence Cookbook/Models/hearts_svm_classifier_09.27.15.dat" pickle...