Create package

prueba/sample.py

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