8000 fix: the imported samples error and use peek() by ashleyxuu · Pull Request #688 · googleapis/python-bigquery-dataframes · GitHub
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fix: the imported samples error and use peek() #688

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Merged
gcf-merge-on-green merged 3 commits into from
May 14, 2024
Merged

fix: the imported samples error and use peek() #688

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3fc383b
fix: the imported samples error and use peek()
ashleyxuu May 14, 2024
f0f0d72
small fix
ashleyxuu May 14, 2024
33c8625
Merge branch 'main' into ashleyxu-fix-samples
ashleyxuu May 14, 2024
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6 changes: 3 additions & 3 deletions samples/snippets/imported_onnx_model_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@ def test_imported_sklearn_onnx_model() -> None:

PROJECT_ID = os.getenv("GOOGLE_CLOUD_PROJECT", "bigframes-dev")

# [START bigquery_dataframes_imported_sklearn_onnx_tutorial_import_tensorflow_models]
# [START bigquery_dataframes_imported_sklearn_onnx_tutorial_import_onnx_models]
import bigframes
from bigframes.ml.imported import ONNXModel

Expand All @@ -31,13 +31,13 @@ def test_imported_sklearn_onnx_model() -> None:
imported_onnx_model = ONNXModel(
model_path="gs://cloud-samples-data/bigquery/ml/onnx/pipeline_rf.onnx"
)
# [END bigquery_dataframes_imported_sklearn_onnx_tutorial_import_tensorflow_models]
# [END bigquery_dataframes_imported_sklearn_onnx_tutorial_import_onnx_models]
assert imported_onnx_model is not None

# [START bigquery_dataframes_imported_sklearn_onnx_tutorial_make_predictions]
import bigframes.pandas as bpd

df = bpd.read_gbq("bigquery-public-data.ml_datasets.iris")
predictions = imported_onnx_model.predict(df)
predictions.head(5)
predictions.peek(5)
# [END bigquery_dataframes_imported_sklearn_onnx_tutorial_make_predictions]
3 changes: 2 additions & 1 deletion samples/snippets/imported_tensorflow_model_test.py
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Expand Up @@ -38,6 +38,7 @@ def test_imported_tensorflow_model() -> None:
import bigframes.pandas as bpd

df = bpd.read_gbq("bigquery-public-data.hacker_news.full")
predictions = imported_tensorflow_model.predict(df)
df_pred = df.rename(columns={"title": "input"})
predictions = imported_tensorflow_model.predict(df_pred)
predictions.head(5)
# [END bigquery_dataframes_imported_tensorflow_tutorial_make_predictions]
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