Finance, Trading, Stock Market, Mathematics, Technical Analysis.
range(self.iterations): self.update() return self # Cleans up fit() by updating in seperate method def update(self): Y_pred = self.predict(self.X) # Log to be able to view later mse = self.mean_squared_error(self.Y, Y_pred) loss.append(mse) # Partial Derivatives (vectorized) dW = -(2 *