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23 lines
493 B
Python
23 lines
493 B
Python
from sklearn.datasets import load_iris
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from fimdlp.mdlp import FImdlp
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from fimdlp.cppfimdlp import CFImdlp
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import numpy as np
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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 = FImdlp()
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test.fit(X, y, features=features).transform(X)
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# X = np.array(
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# [
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# [5.1, 3.5, 1.4, 0.2],
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# [5.2, 3.0, 1.4, 0.2],
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# [5.3, 3.2, 1.3, 0.2],
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# [5.3, 3.1, 1.5, 0.2],
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# ]
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# )
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# y = np.array([0, 0, 0, 1])
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# test.fit(X, y).transform(X)
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