def test_serialize(self):
sv = SparseVector(4, {1: 1, 3: 2})
dv = array([1., 2., 3., 4.])
lst = [1, 2, 3, 4]
self.assertTrue(sv is _convert_vector(sv))
self.assertTrue(dv is _convert_vector(dv))
self.assertTrue(array_equal(dv, _convert_vector(lst)))
self.assertEquals(sv, _deserialize_double_vector(_serialize_double_vector(sv)))
self.assertTrue(array_equal(dv, _deserialize_double_vector(_serialize_double_vector(dv))))
self.assertTrue(array_equal(dv, _deserialize_double_vector(_serialize_double_vector(lst))))
def test_serialize(self):
sv = SparseVector(4, {1: 1, 3: 2})
dv = array([1., 2., 3., 4.])
lst = [1, 2, 3, 4]
self.assertTrue(sv is _convert_vector(sv))
self.assertTrue(dv is _convert_vector(dv))
self.assertTrue(array_equal(dv, _convert_vector(lst)))
self.assertEquals(sv, _deserialize_double_vector(_serialize_double_vector(sv)))
self.assertTrue(array_equal(dv, _deserialize_double_vector(_serialize_double_vector(dv))))
self.assertTrue(array_equal(dv, _deserialize_double_vector(_serialize_double_vector(lst))))
def test_serialize(self):
from scipy.sparse import lil_matrix
lil = lil_matrix((4, 1))
lil[1, 0] = 1
lil[3, 0] = 2
sv = SparseVector(4, {1: 1, 3: 2})
self.assertEquals(sv, _convert_vector(lil))
self.assertEquals(sv, _convert_vector(lil.tocsc()))
self.assertEquals(sv, _convert_vector(lil.tocoo()))
self.assertEquals(sv, _convert_vector(lil.tocsr()))
self.assertEquals(sv, _convert_vector(lil.todok()))
self.assertEquals(sv, _deserialize_double_vector(_serialize_double_vector(lil)))
self.assertEquals(sv, _deserialize_double_vector(_serialize_double_vector(lil.tocsc())))
self.assertEquals(sv, _deserialize_double_vector(_serialize_double_vector(lil.tocsr())))
self.assertEquals(sv, _deserialize_double_vector(_serialize_double_vector(lil.todok())))
def test_serialize(self):
from scipy.sparse import lil_matrix
lil = lil_matrix((4, 1))
lil[1, 0] = 1
lil[3, 0] = 2
sv = SparseVector(4, {1: 1, 3: 2})
self.assertEquals(sv, _convert_vector(lil))
self.assertEquals(sv, _convert_vector(lil.tocsc()))
self.assertEquals(sv, _convert_vector(lil.tocoo()))
self.assertEquals(sv, _convert_vector(lil.tocsr()))
self.assertEquals(sv, _convert_vector(lil.todok()))
self.assertEquals(sv, _deserialize_double_vector(_serialize_double_vector(lil)))
self.assertEquals(sv, _deserialize_double_vector(_serialize_double_vector(lil.tocsc())))
self.assertEquals(sv, _deserialize_double_vector(_serialize_double_vector(lil.tocsr())))
self.assertEquals(sv, _deserialize_double_vector(_serialize_double_vector(lil.todok())))
def _convert_labeled_point_to_libsvm(p):
"""Converts a LabeledPoint to a string in LIBSVM format."""
items = [str(p.label)]
v = _convert_vector(p.features)
if type(v) == np.ndarray:
for i in xrange(len(v)):
items.append(str(i + 1) + ":" + str(v[i]))
elif type(v) == SparseVector:
nnz = len(v.indices)
for i in xrange(nnz):
items.append(str(v.indices[i] + 1) + ":" + str(v.values[i]))
else:
raise TypeError("_convert_labeled_point_to_libsvm needs either ndarray or SparseVector"
" but got " % type(v))
return " ".join(items)
def _convert_labeled_point_to_libsvm(p):
"""Converts a LabeledPoint to a string in LIBSVM format."""
items = [str(p.label)]
v = _convert_vector(p.features)
if type(v) == np.ndarray:
for i in xrange(len(v)):
items.append(str(i + 1) + ":" + str(v[i]))
elif type(v) == SparseVector:
nnz = len(v.indices)
for i in xrange(nnz):
items.append(str(v.indices[i] + 1) + ":" + str(v.values[i]))
else:
raise TypeError("_convert_labeled_point_to_libsvm needs either ndarray or SparseVector"
" but got " % type(v))
return " ".join(items)