####################################################################################
#
# A file that takes in a .dat file (a time series that has been discretiezed)
# and outputs
import cssr_interface
import sys
import pylab
import numpy
import ipdb
# Use CSSR to generate the CSM files
fname = 'timeseries_synthetic/Bernoulli/sample1'
historyLength = 5
is_multiline = False
cssr_interface.run_CSSR(filename = fname, L = historyLength, savefiles = True, showdot = True, is_multiline = is_multiline, showCSSRoutput = True)
hist_length, Cmu, hmu, num_states = cssr_interface.parseResultFile(fname)
print 'C_mu: {0}\nh_mu: {1}\nNumber of States: {2}'.format(Cmu, hmu, num_states)
if true == majority_vote:
base_rate += 1
# print true, pred
print 'Accuracy rate: {}...'.format(float(correct)/len(prediction))
print 'Compared to using a biased coin {}...'.format(numpy.max((float(base_rate)/len(prediction), 1 - float(base_rate)/len(prediction))))
metric = 'accuracy'
fname = '{}/sample{}'.format(datatype, noi)
zero_order_predict = generate_zero_order_CSM(fname)
cssr_interface.run_CSSR(filename = fname, L = L_CSSR, savefiles = True, showdot = True, is_multiline = False, showCSSRoutput = False)
CSM = get_CSM(fname = fname)
epsilon_machine = get_epsilon_machine(fname = fname)
states, L = get_equivalence_classes(fname) # A dictionary structure with the ordered pair
# (symbol sequence, state)
correct_rates = run_tests(fname = fname, CSM = CSM, zero_order_CSM = zero_order_predict, states = states, epsilon_machine = epsilon_machine, L = L_CSSR, L_max = L_max, metric = metric, print_predictions = False, print_state_series = False)
print 'Compared to using CSSR on the timeseries {}...'.format(correct_rates[0])
for state_ind, state in enumerate(states_final):
print '\nState {}\n========'.format(state_ind)
enum_hists, enum_probs = state
import cssr_interface
L_val = 20
# prefix = 'sample-60s-'
prefix = 'sample'
user = '******'
fname = '{}{}'.format(prefix, user)
cssr_interface.run_CSSR(filename = fname, L = L_val, savefiles = True, showdot = True, is_multiline = False, showCSSRoutput = False)
