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15 lines
383 B
Python
15 lines
383 B
Python
import numpy as np
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from sklearn.datasets import load_iris
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from fimdlp import CFImdlp
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data = load_iris()
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X = data.data
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y = data.target
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features = data.feature_names
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test = CFImdlp()
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print("Cut points for each feature in Iris dataset:")
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for i in range(0, X.shape[1]):
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data = np.sort(X[:, i])
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Xcutpoints = test.cut_points(data, y)
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print(f"{features[i]:20s}: {Xcutpoints}")
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