Move python files to root folder; remove built docs

miplearn/classifiers/counting.py

@@ -0,0 +1,28 @@
+#  MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
+#  Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
+#  Released under the modified BSD license. See COPYING.md for more details.
+
+from miplearn.classifiers import Classifier
+import numpy as np
+
+
+class CountingClassifier(Classifier):
+    """
+    A classifier that generates constant predictions, based only on the
+    frequency of the training labels. For example, if y_train is [1.0, 0.0, 0.0]
+    this classifier always returns [0.66 0.33] for any x_test. It essentially
+    counts how many times each label appeared, hence the name.
+    """
+
+    def __init__(self):
+        self.mean = None
+
+    def fit(self, x_train, y_train):
+        self.mean = np.mean(y_train)
+
+    def predict_proba(self, x_test):
+        return np.array([[1 - self.mean, self.mean]
+                         for _ in range(x_test.shape[0])])
+
+    def __repr__(self):
+        return "CountingClassifier(mean=%s)" % self.mean