AnomalyDetectTestConfig.py

import random

from Permutator import Permutator

Name="LSTMAutoEncoder"

Config={
    "N_Samples":100, # Samples in a window
}

# For Random Generation

Config["N_Inputs"]=10

# Pattern Definition
# Fixed Parameters
Config["NoiseSigma"]= 0     # Noise baseline
Config["N_Patterns"]=1      # Number of possible random patterns classes

# Variable (random) Parameters
# Convention : 
#    X = 5       ==> X is always 5
#    X = [1,10]  ==> A given pattern will have X between 1 and 5
#    X = (1,10)  ==> An instance of a given pattern will have x between 1 and 5 

Config["PatternSamples"]=[3,10]  # Inherent pattern length
Config["L_range"]=(5,15)        # Pattern Length
Config["A_range"]=10         # Amplitude Range
Config["f_range"]=1./Config["N_Patterns"]         # Frequency Range ( f * N_Patterns = mean PatternsPerWindow )
Config["s_range"]=0.05           # Additional Noise for pattern