def __init__(self, **kwargs):
self.transmission = basicTransmission.Transmssion()
self.HumanInput = utils.HumanInput()
self.hs_counter = {
'left': 0,
'right': 0
}
def __init__(self, speed_limits=settings['speed_limits'], **kwargs):
self.speed_limits = speed_limits
self.track_divison = track_divison = np.linspace(
0.,
settings['track_length'],
len(self.speed_limits) + 1
)
self.is_starting = True
self.transmission = basicTransmission.Transmssion()
def __init__(self, model_path=None, dump_after=True, **kwargs):
self.transmission = basicTransmission.Transmssion()
if model_path is None:
self.state_keys = settings['state_keys']
data = parse_dataset()
states, actions = extract_parameters(data)
# self.actions = actions
# Reducinf actions set
Y, self.actions = unify_actions(actions)
X = np.array(states)
self.X_max = X.max(axis=0)
self.X_min = X.min(axis=0)
X_normed = (X - self.X_min) / (self.X_max - self.X_min)
self.knn.fit(X_normed, Y)
if dump_after:
self.dump()
else:
self.load(model_path)
def __init__(self, model_path, **kwargs):
self.transmission = basicTransmission.Transmssion()
self.load(model_path)