e4485b77991041b214e4860f3999addfee8898fa,tests/integ/test_inference_pipeline.py,,test_inference_pipeline_batch_transform,#Any#Any#,54
Before Change
env={"SAGEMAKER_SPARKML_SCHEMA": SCHEMA},
sagemaker_session=sagemaker_session,
)
xgb_image = get_image_uri(sagemaker_session.boto_region_name, "xgboost")
xgb_model = Model(
model_data=xgb_model_data, image_uri=xgb_image, sagemaker_session=sagemaker_session
)
model = PipelineModel(
After Change
env={"SAGEMAKER_SPARKML_SCHEMA": SCHEMA},
sagemaker_session=sagemaker_session,
)
xgb_image = image_uris.retrieve(
"xgboost", sagemaker_session.boto_region_name, version="1", image_scope="inference"
)
xgb_model = Model(
model_data=xgb_model_data, image_uri=xgb_image, sagemaker_session=sagemaker_session
)
model = PipelineModel(
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
Project Name: aws/sagemaker-python-sdk
Commit Name: e4485b77991041b214e4860f3999addfee8898fa
Time: 2020-07-17
Author: 6631887+laurenyu@users.noreply.github.com
File Name: tests/integ/test_inference_pipeline.py
Class Name:
Method Name: test_inference_pipeline_batch_transform
Project Name: aws/sagemaker-python-sdk
Commit Name: e4485b77991041b214e4860f3999addfee8898fa
Time: 2020-07-17
Author: 6631887+laurenyu@users.noreply.github.com
File Name: tests/integ/test_inference_pipeline.py
Class Name:
Method Name: test_inference_pipeline_model_deploy
Project Name: aws/sagemaker-python-sdk
Commit Name: e4485b77991041b214e4860f3999addfee8898fa
Time: 2020-07-17
Author: 6631887+laurenyu@users.noreply.github.com
File Name: tests/integ/test_inference_pipeline.py
Class Name:
Method Name: test_inference_pipeline_model_deploy_and_update_endpoint