16 lines
493 B
Python
16 lines
493 B
Python
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import numpy as np
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from sklearn.datasets import make_classification
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from sklearn.model_selection import train_test_split
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from funcs import *
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x, y = make_classification(n_samples=500, n_features=2, n_redundant=0, n_informative=2, random_state=0,
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n_clusters_per_class=1)
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x = x[:, np.newaxis, 1]
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x_train, x_test, y_train, y_test = train_test_split(x, y)
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lin(x_train, x_test, y_train, y_test)
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polynom(x_train, y_train)
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greb_polynom(x_train, x_test, y_train, y_test)
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