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docs: add code snippets for imported onnx tutorials #684

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43 changes: 43 additions & 0 deletions samples/snippets/imported_onnx_model_test.py
Original file line number Diff line number Diff line change
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# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (t
# you may not use this file except in compliance wi
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in
# distributed under the License is distributed on a
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, eit
# See the License for the specific language governi
# limitations under the License.


def test_imported_sklearn_onnx_model() -> None:
# Determine project id, in this case prefer the one set in the environment
# variable GOOGLE_CLOUD_PROJECT (if any)
import os

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

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

bigframes.options.bigquery.project = PROJECT_ID
# You can change the location to one of the valid locations: https://cloud.google.com/bigquery/docs/locations#supported_locations
bigframes.options.bigquery.location = "US"

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]
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)
# [END bigquery_dataframes_imported_sklearn_onnx_tutorial_make_predictions]