def test_same_prediction(self):
X, y, Z = self.make_regression(1, 100000)
local = LinearRegression()
dist = SparkLinearRegression()
y_local = local.fit(X, y).predict(X)
y_dist = dist.fit(Z).predict(Z[:, 'X'])
y_converted = dist.to_scikit().predict(X)
assert_true(check_rdd_dtype(y_dist, (np.ndarray,)))
assert_array_almost_equal(y_local, y_dist.toarray())
assert_array_almost_equal(y_local, y_converted)
def test_same_coefs(self):
X, y, Z = self.make_regression(1, 100000)
local = LinearRegression()
dist = SparkLinearRegression()
local.fit(X, y)
dist.fit(Z)
converted = dist.to_scikit()
assert_array_almost_equal(local.coef_, dist.coef_)
assert_array_almost_equal(local.intercept_, dist.intercept_)
assert_array_almost_equal(local.coef_, converted.coef_)
assert_array_almost_equal(local.intercept_, converted.intercept_)
