create_submission_poly.py
e1ba221822d9master

create_submission_poly.py
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			import numpy as np
			from proj1_helpers import *
			from functions import *
			import datetime

			def predict_labels_modified(weights, data):
			"""Generates class predictions given weights, and a test data matrix"""
			y_pred = np.dot(data, weights)
			y_pred[np.where(y_pred <= 0.5)] = -1
			y_pred[np.where(y_pred > 0.5)] = 1

			return y_pred


			def normalize2(x, x_helper):
			minimum = min(np.min(x),np.min(x_helper))
			maximum = max(np.max(x),np.max(x_helper))

			range_x = maximum - minimum

			x -= minimum

			x = x/range_x

			return x

			#y_tr, x_tr_noisy, ids_tr = load_csv_data("train.csv")
			#y_te,x_te,ids_te = load_csv_data("test.csv")

			x_tr1 = real_mean(x_tr)
			x_te1 = real_mean2(x_te,x_tr)#format_data2(xx,x_tr_noisy)

			x_te_touse = normalize2(x_te1,x_tr1)

			degree = 7
			tx_te = build_poly_matrix(x_te_touse,degree)

			y_pred = predict_labels(w_final, tx_te)

			create_csv_submission(ids_te, y_pred, "new_submission")