Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions tests/system/large/ml/test_core.py
Original file line number Diff line number Diff line change
Expand Up @@ -13,10 +13,13 @@
# limitations under the License.

import pandas
import pytest

from bigframes.ml import globals


# TODO(garrettwu): Re-enable or not check exact numbers.
@pytest.mark.skip(reason="bqml regression")
def test_bqml_e2e(session, dataset_id, penguins_df_default_index, new_penguins_df):
df = penguins_df_default_index.dropna()
X_train = df[
Expand Down
2 changes: 2 additions & 0 deletions tests/system/large/ml/test_ensemble.py
Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,8 @@
import bigframes.ml.ensemble


# TODO(garrettwu): Re-enable or not check exact numbers.
@pytest.mark.skip(reason="bqml regression")
@pytest.mark.flaky(retries=2)
def test_xgbregressor_default_params(penguins_df_default_index, dataset_id):
model = bigframes.ml.ensemble.XGBRegressor()
Expand Down
4 changes: 4 additions & 0 deletions tests/system/large/ml/test_pipeline.py
Original file line number Diff line number Diff line change
Expand Up @@ -222,6 +222,8 @@ def test_pipeline_logistic_regression_fit_score_predict(
)


# TODO(garrettwu): Re-enable or not check exact numbers.
@pytest.mark.skip(reason="bqml regression")
@pytest.mark.flaky(retries=2)
def test_pipeline_xgbregressor_fit_score_predict(session, penguins_df_default_index):
"""Test a supervised model with a minimal preprocessing step"""
Expand Down Expand Up @@ -297,6 +299,8 @@ def test_pipeline_xgbregressor_fit_score_predict(session, penguins_df_default_in
)


# TODO(garrettwu): Re-enable or not check exact numbers.
@pytest.mark.skip(reason="bqml regression")
@pytest.mark.flaky(retries=2)
def test_pipeline_random_forest_classifier_fit_score_predict(
session, penguins_df_default_index
Expand Down