Fix some tests

mfs/k.py

@@ -0,0 +1,22 @@
+from sklearn.datasets import load_wine
+from mfs import MFS
+from mfs.Metrics import Metrics
+
+mfsc = MFS(discrete=False)
+mfsd = MFS(discrete=True)
+X, y = load_wine(return_X_y=True)
+m, n = X.shape
+
+print("* Differential entropy in X")
+for i in range(n):
+    print(i, Metrics.differential_entropy(X[:, i], k=10))
+
+print("* Information Gain")
+print("- Discrete features")
+print(Metrics.information_gain(X, y))
+for i in range(n):
+    print(i, Metrics.information_gain(X[:, i], y))
+print("- Continuous features")
+# print(Metrics.information_gain_cont(X, y))
+for i in range(n):
+    print(i, Metrics.information_gain_cont(X[:, i], y))