Precompile Python Script and Include it in another Python Program

Question

I have been conducting a learning algorithm using Decision Tree Classifier in Python.

from sklearn.tree import DecisionTreeClassifier
clf = DecisionTreeClassifier()
clf.fit(train, train_label)
predicted_label = clf.predict(test)

The Decision Tree Classifier accepts training labels from a large text file. I want to run the program without performing again the training process. How will I do it in Python? How will I include a precompiled learning model and used it for testing in another program? Is precompiled python files does have anything to do with it?

Thank you @MohamedThasinah . Put your comment in the answer section so that I can mark your answer as the correct answer. — alyssaeliyah
– alyssaeliyah, Commented Mar 2, 2018 at 7:06

Mohamed Thasin ah · Accepted Answer · 2018-03-02 07:17:44Z

1

After training your model, you could save your model for future use for avoiding the process of training.

import pickle
model.fit(X,y)
saved_model = pickle.dump(model,open('saved_model.sav', 'wb'))#save your model
.
.
.

model = pickle.loads(open('saved_model.sav', 'rb'))#get your model from saved model file
model.predict(X[0:1])#use without training

answered Mar 2, 2018 at 7:17

Mohamed Thasin ah

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