def error_over_speed(tau, ws):
speeds = np.arange(0.1, 0.9, 0.1)
y = []
for s in speeds:
tg_var = TARGET(speed=s,
max_speed=0.8,
size=20,
peak_cell_num=peak_cell_num)
can = CAN(target=tg_var,
size=20,
tau=tau,
dt=tau / 10,
kappa=0.1,
beta=-8,
ws_param=ws,
h=0)
can.init_network_activity(peak_cell_num=peak_cell_num, init_time=1)
can.run(sim_time=20)
y.append(can.slope_accuracy(s, 20, peak_cell_num))
fig, ax = plt.subplots()
ax.xaxis.set_ticks_position('bottom')
ax.set_title("Error in relation to speed [Tau=" + str(tau) + "][WS=" +
str(ws) + "]")
ax.set_xlabel("Speed [m/s]")
ax.set_ylabel("Error")
plt.plot(speeds, y, 'r-')
plt.ylim(-20, 20)
def __init__(self):
init()
self.n = 0
self.balls = []
self.player = PLAYER()
self.target = TARGET()
self.target.new()
display.set_caption('Ball Game')
self.clock = time.Clock()
self.Font = font.SysFont("arial", 40)
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
from target import TARGET
def plot_pca(X):
pca = PCA(n_components=2)
X_r1 = pca.fit_transform(X)
fig, ax = plt.subplots()
for i in range(len(X_r1)):
plt.scatter(X_r1[i][0], X_r1[i][1], c='r')
plt.xlabel('x1')
plt.ylabel('x2')
plt.title('PCA on TARGET')
plt.show()
if __name__ == '__main__':
infile = 'data/small_sample.csv'
start = time.time()
target = TARGET(verbose=True, workers=2,
nodes_per_thread=2).train_csv(infile)
print('Runtime:', time.time() - start)
for c in target.resf_:
X = StandardScaler().fit_transform(target.resf_[c])
plot_pca(X)
from can import CAN
from target import TARGET
import numpy as np
import matplotlib.pyplot as plt
import os.path
import math
peak_cell_num = 15
speed = 0.2
tg = TARGET(speed=speed, max_speed=0.8, size=20, peak_cell_num=peak_cell_num)
def single_run():
#tau 0.05, ws 0.08
can = CAN(target=tg,
size=20,
tau=0.05,
dt=0.005,
kappa=0.1,
beta=-8,
ws_param=0.08,
h=0)
can.init_network_activity(peak_cell_num=peak_cell_num, init_time=1)
can.run(sim_time=15)
can.plot_activities(u_out=True)
#print(can.slope_accuracy(speed,20,peak_cell_num))
#can.plot_single_cell(speed,20,0)
#plt.show()
