Initial commit

classifiers/manual.py

@@ -0,0 +1,13 @@
+import numpy as np
+from sklearn.base import BaseEstimator, ClassifierMixin
+
+
+class ManualClassifier(BaseEstimator, ClassifierMixin):
+    def fit(self, X, y):
+        return self
+
+    def predict(self, X):
+        return np.array([self.predict_one(msg) for msg in X])
+
+    def predict_one(self, message):
+        return "ham"