To save:
import pickle
f = open('my_classifier.pickle', 'wb')
pickle.dump(classifier, f)
f.close()
To load later:
import pickle
f = open('my_classifier.pickle', 'rb')
classifier = pickle.load(f)
f.close()
More Related Contents:
- Implementing Bag-of-Words Naive-Bayes classifier in NLTK
- Multiclass Classification
- Python NLTK pos_tag not returning the correct part-of-speech tag
- Save classifier to disk in scikit-learn
- How to get most informative features for scikit-learn classifiers?
- Python: tf-idf-cosine: to find document similarity
- Predict classes or class probabilities?
- memory issues when transforming np.array using to_categorical
- Scikit-learn: How to obtain True Positive, True Negative, False Positive and False Negative
- Mixing categorial and continuous data in Naive Bayes classifier using scikit-learn
- tag generation from a text content
- How to get most informative features for scikit-learn classifier for different class?
- scikit-learn .predict() default threshold
- Make a custom loss function in keras
- Convert words between verb/noun/adjective forms
- Dummy variables when not all categories are present
- How to install xgboost package in python (windows platform)?
- nltk doesn’t add $NLTK_DATA to search path?
- str.translate gives TypeError – Translate takes one argument (2 given), worked in Python 2
- TensorFlow operator overloading
- How to get other metrics in Tensorflow 2.0 (not only accuracy)?
- Removing then Inserting a New Middle Layer in a Keras Model
- training data format for NLTK punkt
- Unbalanced data and weighted cross entropy
- Tensor is not an element of this graph
- Tensorflow One Hot Encoder?
- confused about random_state in decision tree of scikit learn
- Can I send callbacks to a KerasClassifier?
- Getting 405 error while trying to download nltk data
- TensorFlow, “‘module’ object has no attribute ‘placeholder'”