# along with this program. If not, see http://www.gnu.org/licenses.
#
# http://numenta.org/licenses/
# ----------------------------------------------------------------------
from random import *
import numpy
import pdb
import cPickle
import bz2
import sys
import pylab
import nupic.bindings.algorithms as algo
from nupic.bindings.math import GetNumpyDataType
type = GetNumpyDataType('NTA_Real')
type = 'float32'
#--------------------------------------------------------------------------------
# Simple use case
#--------------------------------------------------------------------------------
def simple():
print "Simple"
numpy.random.seed(42)
n_dims = 2
n_class = 4
size = 200
labels = numpy.random.random_integers(0, n_class - 1, size)
samples = numpy.zeros((size, n_dims), dtype=type)
"""Unit tests for the SVM classifiers."""
import cPickle as pickle
import hashlib
import os
import numpy as np
import unittest2 as unittest
from nupic.bindings.algorithms import svm_dense, svm_01
from nupic.bindings.math import GetNumpyDataType
_SEED = 42
_RGEN = np.random.RandomState(_SEED)
# 32 bits for sse
_DTYPE = GetNumpyDataType("NTA_Real")
class SVMTest(unittest.TestCase):
"""Unit tests for the SVM classifier."""
def testGetstateSetstate(self):
nDims = 32 # need multiple of 8, because of sse
nClass = 4
size = 20
labels = _RGEN.random_integers(0, nClass - 1, size)
samples = np.zeros((size, nDims), dtype=_DTYPE)
centers = np.array([[0, 0], [0, 1], [1, 0], [1, 1]])
for i in range(0, size):
t = 6.28 * _RGEN.random_sample()
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see http://www.gnu.org/licenses.
#
# http://numenta.org/licenses/
# ----------------------------------------------------------------------
raise Exception("XERROR mcmc not available")
import copy
import time
import numpy
from nupic.support.pythonics import Accessor
from nupic.bindings.math import CMultiArgMax, GetNumpyDataType
realDType = GetNumpyDataType("NTA_Real")
class MCMCState(object):
def __init__(self, values, logPrior, logLikelihood, postTime, **keywds):
self.values = values
self.logPrior = logPrior
self.logLikelihood = logLikelihood
self.info = keywds
self.time = postTime
def __str__(self):
return ("<state logPrior='%f' logLikelihood='%f'>" %
(self.logPrior, self.logLikelihood)) + str(self.values) + "</state>"
def __repr__(self):
return ("<state logPrior='%f' logLikelihood='%f'>" %
(self.logPrior, self.logLikelihood)) + repr(self.values) + "</state>"