Finish all learners, but they don't pass tests. I have to figure out why they perform so bad.

assess_learners/InsaneLearner.py

@@ -0,0 +1,28 @@
+import BagLearner as bgl
+import LinRegLearner as lrl
+
+class InsaneLearner(object):
+    def __init__(self, verbose=False):
+        def bag_learner():
+            return bgl.BagLearner(lrl.LinRegLearner, bags=20, verbose=verbose)
+        self.learner = bgl.BagLearner(bag_learner, bags=20, verbose=verbose)
+
+    def author(self):
+        return 'felixm' # replace tb34 with your Georgia Tech username
+
+    def addEvidence(self, data_x, data_y):
+        """
+        @summary: Add training data to learner
+        @param dataX: X values of data to add
+        @param dataY: the Y training values
+        """
+        self.learner.addEvidence(data_x, data_y)
+
+    def query(self, points):
+        """
+        @summary: Estimate a set of test points given the model we built.
+        @param points: should be a numpy array with each row corresponding to a specific query.
+        @returns the estimated values according to the saved model.
+        """
+        return self.learner.query(points)
+