mirror of https://github.com/doccano/doccano.git
pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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34 lines
910 B
34 lines
910 B
"""
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Task runner.
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"""
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import numpy as np
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from doccano.app.classifier.model import build_model
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from doccano.app.classifier import build_vectorizer
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from doccano.app.classifier import load_dataset, save_dataset, make_output, train_test_split
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def run(filename):
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print('Loading dataset...')
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data = load_dataset(filename)
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x_train, x_test, y_train, ids = train_test_split(data)
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print('Building vectorizer and model...')
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vectorizer = build_vectorizer()
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clf = build_model()
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print('Vectorizing...')
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x_train = vectorizer.fit_transform(x_train)
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x_test = vectorizer.transform(x_test)
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print('Fitting...')
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clf.fit(x_train, y_train)
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print('Predicting...')
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y_pred = clf.predict(x_test)
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y_prob = clf.predict_proba(x_test)
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y_prob = np.max(y_prob, axis=-1)
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print('Saving...')
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data = make_output(data, ids, y_pred, y_prob)
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save_dataset(data, filename)
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