Created
July 14, 2018 05:08
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Pequeño clasificador de ejemplo para aprender machine learning
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| from sklearn import tree | |
| features = [[130, 6],[140, 9],[150, 90],[170, 777], [900,555]] | |
| labels = [[0, 0], [0, 0], [1, 0], [1, 1], [2, 2]] | |
| classifier = tree.DecisionTreeClassifier() | |
| colorDictionary = {0: 'roja', 1:'verde', 2:'azul'} | |
| typeDictionary = {0: 'naranja', 1: 'manzana', 2: 'pera'} | |
| trainedClassifier = classifier.fit(features, labels) | |
| prediction = trainedClassifier.predict([[100,9999]]); | |
| print('Type Prediction: ', typeDictionary[prediction[0][0]], ' Color Prediction: ', colorDictionary[prediction[0][1]]) |
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