def test_variance(self):
from test_utils import elementwiseVar
series = self.generateTestSeries()
varVal = series.variance()
arys = series.values().collect()
expected = elementwiseVar([ary.astype('float16') for ary in arys])
assert_true(allclose(expected, varVal))
assert_equals('float64', str(varVal.dtype))
def test_variance(self):
from test_utils import elementwiseVar
arys, shape, size = _generateTestArrays(2, 'uint8')
imageData = ImagesLoader(self.sc).fromArrays(arys)
varVal = imageData.variance()
expected = elementwiseVar([ary.astype('float16') for ary in arys])
assert_true(allclose(expected, varVal))
assert_equals('float64', str(varVal.dtype))
def test_variance(self):
from test_utils import elementwiseVar
series = self.generateTestSeries()
varVal = series.variance()
arys = series.values().collect()
expected = elementwiseVar([ary.astype('float16') for ary in arys])
assert_true(allclose(expected, varVal))
assert_equals('float64', str(varVal.dtype))
def test_variance(self):
from test_utils import elementwiseVar
arys, shape, size = _generateTestArrays(2, 'uint8')
imageData = ImagesLoader(self.sc).fromArrays(arys)
varVal = imageData.variance()
expected = elementwiseVar([ary.astype('float16') for ary in arys])
assert_true(allclose(expected, varVal))
assert_equals('float64', str(varVal.dtype))
def test_stats(self):
from test_utils import elementwiseMean, elementwiseVar
series = self.generateTestSeries()
statsVal = series.stats()
arys = series.values().collect()
floatArys = [ary.astype('float16') for ary in arys]
expectedMean = elementwiseMean(floatArys)
expectedVar = elementwiseVar(floatArys)
assert_true(allclose(expectedMean, statsVal.mean()))
assert_true(allclose(expectedVar, statsVal.variance()))
def test_stats(self):
from test_utils import elementwiseMean, elementwiseVar
series = self.generateTestSeries()
statsVal = series.stats()
arys = series.values().collect()
floatArys = [ary.astype('float16') for ary in arys]
expectedMean = elementwiseMean(floatArys)
expectedVar = elementwiseVar(floatArys)
assert_true(allclose(expectedMean, statsVal.mean()))
assert_true(allclose(expectedVar, statsVal.variance()))
def test_stats(self):
from test_utils import elementwiseMean, elementwiseVar
arys, shape, size = _generateTestArrays(2, 'uint8')
imageData = ImagesLoader(self.sc).fromArrays(arys)
statsval = imageData.stats()
floatarys = [ary.astype('float16') for ary in arys]
# StatsCounter contains a few different measures, only test a couple:
expectedMean = elementwiseMean(floatarys)
expectedVar = elementwiseVar(floatarys)
assert_true(allclose(expectedMean, statsval.mean()))
assert_true(allclose(expectedVar, statsval.variance()))
def test_stats(self):
from test_utils import elementwiseMean, elementwiseVar
arys, shape, size = _generateTestArrays(2, 'uint8')
imageData = ImagesLoader(self.sc).fromArrays(arys)
statsval = imageData.stats()
floatarys = [ary.astype('float16') for ary in arys]
# StatsCounter contains a few different measures, only test a couple:
expectedMean = elementwiseMean(floatarys)
expectedVar = elementwiseVar(floatarys)
assert_true(allclose(expectedMean, statsval.mean()))
assert_true(allclose(expectedVar, statsval.variance()))
