def test_dummy_analyzer(self):
X, X_rdd = self.generate_text_dataset()
def splitter(x):
return x.split()
X = map(splitter, X)
X_rdd = X_rdd.map(lambda x: map(splitter, x))
local = HashingVectorizer(analyzer=lambda x: x)
dist = SparkHashingVectorizer(analyzer=lambda x: x)
result_local = local.transform(X)
result_dist = sp.vstack(dist.transform(X_rdd).collect())
assert_array_equal(result_local.toarray(), result_dist.toarray())
result_local = local.fit_transform(X)
result_dist = sp.vstack(dist.fit_transform(X_rdd).collect())
assert_array_equal(result_local.toarray(), result_dist.toarray())
def test_dummy_analyzer(self):
X, X_rdd = self.make_text_rdd()
def splitter(x):
return x.split()
X = list(map(splitter, X))
X_rdd = X_rdd.map(lambda x: list(map(splitter, x)))
local = HashingVectorizer(analyzer=lambda x: x)
dist = SparkHashingVectorizer(analyzer=lambda x: x)
result_local = local.transform(X).toarray()
result_dist = dist.transform(X_rdd).toarray()
assert_array_equal(result_local, result_dist)
result_local = local.fit_transform(X).toarray()
result_dist = dist.fit_transform(X_rdd).toarray()
assert_array_equal(result_local, result_dist)
def test_dummy_analyzer(self):
X, X_rdd = self.make_text_rdd()
def splitter(x):
return x.split()
X = list(map(splitter, X))
X_rdd = X_rdd.map(lambda x: list(map(splitter, x)))
local = HashingVectorizer(analyzer=lambda x: x)
dist = SparkHashingVectorizer(analyzer=lambda x: x)
result_local = local.transform(X).toarray()
result_dist = dist.transform(X_rdd).toarray()
assert_array_equal(result_local, result_dist)
result_local = local.fit_transform(X).toarray()
result_dist = dist.fit_transform(X_rdd).toarray()
assert_array_equal(result_local, result_dist)
