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create_training_pipeline_tabular_classification_sample.py
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create_training_pipeline_tabular_classification_sample.py
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# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from google.cloud import aiplatform
# [START aiplatform_sdk_create_training_pipeline_tabular_classification_sample]
def create_training_pipeline_tabular_classification_sample(
project: str,
display_name: str,
dataset_id: int,
location: str = "us-central1",
model_display_name: str = None,
training_fraction_split: float = 0.8,
validation_fraction_split: float = 0.1,
test_fraction_split: float = 0.1,
budget_milli_node_hours: int = 8000,
disable_early_stopping: bool = False,
sync: bool = True,
):
aiplatform.init(project=project, location=location)
tabular_classification_job = aiplatform.AutoMLTabularTrainingJob(
display_name=display_name,
optimization_prediction_type="classification"
)
my_tabular_dataset = aiplatform.TabularDataset(dataset_id)
model = tabular_classification_job.run(
dataset=my_tabular_dataset,
training_fraction_split=training_fraction_split,
validation_fraction_split=validation_fraction_split,
test_fraction_split=test_fraction_split,
budget_milli_node_hours=budget_milli_node_hours,
model_display_name=model_display_name,
disable_early_stopping=disable_early_stopping,
sync=sync,
)
model.wait()
print(model.display_name)
print(model.resource_name)
print(model.uri)
return model
# [END aiplatform_sdk_create_training_pipeline_tabular_classification_sample]