def test_is_label_indicator_matrix():
for group, group_examples in iteritems(EXAMPLES):
if group == "multilabel-indicator":
assert_, exp = assert_true, "True"
else:
assert_, exp = assert_false, "False"
for example in group_examples:
assert_(
is_label_indicator_matrix(example), msg="is_label_indicator_matrix(%r) should be %s" % (example, exp)
)
def test_is_label_indicator_matrix():
for group, group_examples in iteritems(EXAMPLES):
if group == 'multilabel-indicator':
assert_, exp = assert_true, 'True'
else:
assert_, exp = assert_false, 'False'
for example in group_examples:
assert_(is_label_indicator_matrix(example),
msg='is_label_indicator_matrix(%r) should be %s'
% (example, exp))
def test_is_label_indicator_matrix():
for group, group_examples in iteritems(EXAMPLES):
if group == 'multilabel-indicator':
assert_, exp = assert_true, 'True'
else:
assert_, exp = assert_false, 'False'
for example in group_examples:
assert_(is_label_indicator_matrix(example),
msg='is_label_indicator_matrix(%r) should be %s' %
(example, exp))
def test_is_label_indicator_matrix():
for group, group_examples in iteritems(EXAMPLES):
if group in ['multilabel-indicator']:
dense_assert_, dense_exp = assert_true, 'True'
else:
dense_assert_, dense_exp = assert_false, 'False'
for example in group_examples:
# Only mark explicitly defined sparse examples as valid sparse
# multilabel-indicators
if group == 'multilabel-indicator' and issparse(example):
sparse_assert_, sparse_exp = assert_true, 'True'
else:
sparse_assert_, sparse_exp = assert_false, 'False'
if (issparse(example)
or (hasattr(example, '__array__')
and np.asarray(example).ndim == 2
and np.asarray(example).dtype.kind in 'biuf'
and np.asarray(example).shape[1] > 0)):
examples_sparse = [
sparse_matrix(example) for sparse_matrix in [
coo_matrix, csc_matrix, csr_matrix, dok_matrix,
lil_matrix
]
]
for exmpl_sparse in examples_sparse:
sparse_assert_(is_label_indicator_matrix(exmpl_sparse),
msg=('is_label_indicator_matrix(%r)'
' should be %s') %
(exmpl_sparse, sparse_exp))
# Densify sparse examples before testing
if issparse(example):
example = example.toarray()
dense_assert_(is_label_indicator_matrix(example),
msg='is_label_indicator_matrix(%r) should be %s' %
(example, dense_exp))
def test_is_label_indicator_matrix():
for group, group_examples in iteritems(EXAMPLES):
if group in ['multilabel-indicator']:
dense_assert_, dense_exp = assert_true, 'True'
else:
dense_assert_, dense_exp = assert_false, 'False'
for example in group_examples:
# Only mark explicitly defined sparse examples as valid sparse
# multilabel-indicators
if group == 'multilabel-indicator' and issparse(example):
sparse_assert_, sparse_exp = assert_true, 'True'
else:
sparse_assert_, sparse_exp = assert_false, 'False'
if (issparse(example) or
(hasattr(example, '__array__') and
np.asarray(example).ndim == 2 and
np.asarray(example).dtype.kind in 'biuf' and
np.asarray(example).shape[1] > 0)):
examples_sparse = [sparse_matrix(example)
for sparse_matrix in [coo_matrix,
csc_matrix,
csr_matrix,
dok_matrix,
lil_matrix]]
for exmpl_sparse in examples_sparse:
sparse_assert_(is_label_indicator_matrix(exmpl_sparse),
msg=('is_label_indicator_matrix(%r)'
' should be %s')
% (exmpl_sparse, sparse_exp))
# Densify sparse examples before testing
if issparse(example):
example = example.toarray()
dense_assert_(is_label_indicator_matrix(example),
msg='is_label_indicator_matrix(%r) should be %s'
% (example, dense_exp))
def test_is_label_indicator_matrix():
assert_true(is_label_indicator_matrix(np.random.randint(2, size=(10, 10))))
assert_false(is_label_indicator_matrix([[1], [2], [0, 1]]))
assert_false(is_label_indicator_matrix([[1], [2]]))
assert_false(is_label_indicator_matrix([[1], [2], []]))
assert_false(is_label_indicator_matrix([[1], [0, 2], []]))
assert_false(is_label_indicator_matrix(range(10)))
assert_false(is_label_indicator_matrix(np.arange(10)))
assert_false(is_label_indicator_matrix(np.reshape(np.arange(9), (3, 3))))
assert_false(is_label_indicator_matrix(np.reshape(np.arange(10), (-1, 1))))
assert_false(is_label_indicator_matrix(np.reshape(np.arange(10), (1, -1))))
assert_false(is_label_indicator_matrix(np.random.randint(2, size=(10, ))))
assert_false(is_label_indicator_matrix(np.random.randint(2, size=(10, 1))))
def test_is_label_indicator_matrix():
assert_true(is_label_indicator_matrix(np.random.randint(2, size=(10, 10))))
assert_false(is_label_indicator_matrix([[1], [2], [0, 1]]))
assert_false(is_label_indicator_matrix([[1], [2]]))
assert_false(is_label_indicator_matrix([[1], [2], []]))
assert_false(is_label_indicator_matrix([[1], [0, 2], []]))
assert_false(is_label_indicator_matrix(range(10)))
assert_false(is_label_indicator_matrix(np.arange(10)))
assert_false(is_label_indicator_matrix(np.reshape(np.arange(9), (3, 3))))
assert_false(is_label_indicator_matrix(np.reshape(np.arange(10), (-1, 1))))
assert_false(is_label_indicator_matrix(np.reshape(np.arange(10), (1, -1))))
assert_false(is_label_indicator_matrix(np.random.randint(2, size=(10, ))))
assert_false(is_label_indicator_matrix(np.random.randint(2, size=(10, 1))))
