corrected absolute error

Assignment1/main.py

@@ -37,13 +37,9 @@ def mean_absolute_gradient(xdata, ydata, weights):
 
 	guess = np.dot(xdata,weights)
 	samples = np.shape(guess)[0]
-
-	if np.sum(ydata-guess) < 0:
-		gradient = xdata.sum(axis=0)/samples
-	else:
-		gradient = -xdata.sum(axis=0)/samples
-	return gradient.T
-
+	signInfo = np.sign(guess-ydata)
+	gradient = np.dot(xdata.T,signInfo)/samples
+	return gradient
 	raise NotImplementedError
 
 def mean_log_cosh_loss(xdata, ydata, weights):