return train_set_features


###############################
### TRAIN SET CONSTRUCTIONS ###
###############################
    
train_set_3 = construct_train_set_features(train_set, 3)


##################################
### STATIONNARY HMC PARAMETERS ###
##################################

Pi, A, B3 = HMC_Parameters_Dict(train_set_3)
Pi, A, B = HMC_Parameters_Dict(train_set)

list_B = [B, B3]


#####################
### PARAMETER SET ###
#####################

parameter_set = {
    "Pi_HMC": Pi,
    "A_HMC": A,
    "list_B_HMC": list_B
}
Beispiel #2
0
###############################
### TRAIN SET CONSTRUCTIONS ###
###############################

train_set_3 = construct_train_set_features(train_set, 3)
train_set_2 = construct_train_set_features(train_set, 2)
train_set_1 = construct_train_set_features(train_set, 1)
train_set_0 = construct_train_set_features(train_set, 0)

##################################
### STATIONNARY HMC PARAMETERS ###
##################################

start_time = time.time()
Pi, A, B3 = HMC_Parameters_Dict(train_set_3)
Pi, A, B2 = HMC_Parameters_Dict(train_set_2)
Pi, A, B1 = HMC_Parameters_Dict(train_set_1)
Pi, A, B0 = HMC_Parameters_Dict(train_set_0)
Pi, A, B = HMC_Parameters_Dict(train_set)
training_time = time.time() - start_time

list_B = [B, B3, B2, B1, B0]

#####################
### PARAMETER SET ###
#####################

parameter_set = {"Pi_HMC": Pi, "A_HMC": A, "list_B_HMC": list_B}

###############