def plot_regression(data, line, filename=''):
plt.plot(data[0], data[1], 'ro')
plt.plot(line[0], line[1], 'b-', linewidth=3)
if filename:
plt.savefig('img/'+ filename +'.png')
else:
plt.show()
plt.clf()
return
if __name__ == '__main__':
download_file( PATH + 'linreg.txt')
data = load('linreg.txt')
line = SSE_asol(data)
plot_regression(data, line, filename='analytic_solution_linregtxt')
line = SSE_grid_search( data, filename='grid_search_linregtxt')
a = -2
b = 5
for distr in [normal, lognormal]:
print "Generated line $y = {}\cdot x + {}$ with {} distribution.".format(a, b, distr.__name__)
data = linear_data(n=100,distribution=distr, L=-5, U=50, a=a,b=b, sigma=10)
line = SSE_asol( data )
plot_regression(data, line, filename='analytic_solution_'+str(distr.__name__))
def plot_regression(data, line, filename=''):
plt.plot(data[0], data[1], 'ro')
plt.plot(line[0], line[1], 'b-', linewidth=3)
if filename:
plt.savefig('img/' + filename + '.png')
else:
plt.show()
plt.clf()
return
if __name__ == '__main__':
download_file(PATH + 'linreg.txt')
data = load('linreg.txt')
line = SSE_asol(data)
plot_regression(data, line, filename='analytic_solution_linregtxt')
line = SSE_grid_search(data, filename='grid_search_linregtxt')
a = -2
b = 5
for distr in [normal, lognormal]:
print "Generated line $y = {}\cdot x + {}$ with {} distribution.".format(
a, b, distr.__name__)
data = linear_data(n=100,
distribution=distr,
L=-5,
U=50,
return
def on_board(self, pos):
# False if the position pos is of outside the grid
if any(x < 0 for x in pos) or any(x > self.size - 1 for x in pos):
return False
else:
return True
if __name__ == '__main__':
# download the file, necessary for server
download_file(PATH + 'ciselne-bludiste.txt')
mazes = load_num_maze('ciselne-bludiste.txt', '-')
for maze in mazes:
maze = NumberMaze(maze)
# magic is here
maze.DFS([0, 0])
maze.calc_sums()
# creates animated gif for different paths with
# lowest and highest sum of "jumps"
for path in maze.low_paths:
number_gif_path(maze.maze, maze.size, path, 30, 'low')
for path in maze.high_paths:
def on_board(self, pos):
# False if the position pos is of outside the grid
if any(x < 0 for x in pos) or any(x > self.size - 1 for x in pos):
return False
else:
return True
if __name__ == '__main__':
# download the file, necessary for server
download_file( PATH + 'ciselne-bludiste.txt')
mazes = load_num_maze('ciselne-bludiste.txt', '-')
for maze in mazes:
maze = NumberMaze( maze )
# magic is here
maze.DFS([0,0])
maze.calc_sums()
# creates animated gif for different paths with
# lowest and highest sum of "jumps"
for path in maze.low_paths:
number_gif_path(maze.maze, maze.size, path, 30, 'low')