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fruit-classify.py
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52 lines (39 loc) · 928 Bytes
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from sklearn import tree
TEXTURE_BUMPY = 0
TEXTURE_SMOOTH = 1
LABEL_APPLE = 0
LABEL_ORANGE = 1
LABELS = {
LABEL_APPLE: 'apple',
LABEL_ORANGE: 'orange',
}
def classify(to_classify):
features = [
[90, TEXTURE_BUMPY],
[140, TEXTURE_SMOOTH],
[130, TEXTURE_SMOOTH],
[150, TEXTURE_BUMPY],
[170, TEXTURE_BUMPY],
]
labels = [
LABEL_ORANGE,
LABEL_APPLE,
LABEL_APPLE,
LABEL_ORANGE,
LABEL_ORANGE
]
clf = tree.DecisionTreeClassifier()
clf = clf.fit(features, labels)
return clf.predict(to_classify)
def main():
to_classify = [
[160, TEXTURE_BUMPY],
[145, TEXTURE_BUMPY],
[120, TEXTURE_SMOOTH],
[100, TEXTURE_BUMPY],
]
decisions = classify(to_classify)
for decision in decisions:
print("It's a(n):", LABELS[decision])
if __name__ == '__main__':
main()