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