Esempio n. 1
0
# CYCLIC - cyclicEt(self, size, base=0, noise=2, amp=10, period=25, \
#                 phase = 0, noise_type = 'gauss'):
series_1.cyclicEt(100, 3, 1, 5, 50)

# NORMAL -
series_1.normalEt(50, 3, 1, 'gauss')
series_1.normalEt(50, -3, 1, 'gauss')

# UP - upEt(self,size,base=0,noise=1,gradient=0.2, noise_type = 'gauss')
series_1.upEt(100, -3, 1, 0.2, 'gauss')

# Normal
series_1.normalEt(50, 17, 1, 'gauss')

# Dowm - downEt(self,size,base=0,noise=1,gradient=0.2, noise_type = 'gauss')
series_1.downEt(50, 17, 1, 0.4, 'gauss')

# Normal
series_1.normalEt(50, 0, 1, 'gauss')

stream = series_1

# Window sizes to try out
win_size = [10, 20, 40, 60]

# Pre allocate memory
score = []
tag = np.zeros((len(stream)))

sMaxScore = []  # Alternative for matlab Cell, a list
tagMetric = []
Esempio n. 2
0
# CYCLIC - cyclicEt(self, size, base=0, noise=2, amp=10, period=25, \
#                 noise_type = 'gauss'):
series_1.cyclicEt(100, 3, 1, 5, 50, 'gauss')

# NORMAL - 
series_1.normalEt(50, 3, 1,'gauss')
series_1.normalEt(50, -3, 1,'gauss')

# UP - upEt(self,size,base=0,noise=1,gradient=0.2, noise_type = 'gauss')
series_1.upEt(100, -3, 1, 0.2, 'gauss')

# Normal 
series_1.normalEt(50, 17, 1,'gauss')

# Dowm - downEt(self,size,base=0,noise=1,gradient=0.2, noise_type = 'gauss')
series_1.downEt(50, 17, 1, 0.4, 'gauss')

# Normal 
series_1.normalEt(50, 0, 1, 'gauss' )


stream = series_1

# Window sizes to try out
win_size = [10, 20, 40, 60]  

# Pre allocate memory 
score = []
tag = np.zeros((len(stream)))

sMaxScore = []  # Alternative for matlab Cell, a list