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fix: correct sagemaker methods over deprecated ones after Sagemaker SDK V2 update #18

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fix: correct sagemaker methods over deprecated ones after Sagemaker SDK V2 update #18

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15 changes: 8 additions & 7 deletions Tutorials/Boston Housing - XGBoost (Batch Transform) - High Level.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -74,7 +74,8 @@
"source": [
"import sagemaker\n",
"from sagemaker import get_execution_role\n",
"from sagemaker.amazon.amazon_estimator import get_image_uri\n",
"from sagemaker import image_uris\n",
"# from sagemaker.amazon.amazon_estimator import get_image_uri - deprecated on Sagemaker SDK v2\n",
"from sagemaker.predictor import csv_serializer\n",
"\n",
"# This is an object that represents the SageMaker session that we are currently operating in. This\n",
Expand Down Expand Up @@ -216,13 +217,13 @@
"outputs": [],
"source": [
"# As stated above, we use this utility method to construct the image name for the training container.\n",
"container = get_image_uri(session.boto_region_name, 'xgboost')\n",
"container = image_uris.retrieve('xgboost', session.boto_region_name, version='latest')\n",
"\n",
"# Now that we know which container to use, we can construct the estimator object.\n",
"xgb = sagemaker.estimator.Estimator(container, # The image name of the training container\n",
" role, # The IAM role to use (our current role in this case)\n",
" train_instance_count=1, # The number of instances to use for training\n",
" train_instance_type='ml.m4.xlarge', # The type of instance to use for training\n",
" instance_count=1, # The number of instances to use for training\n",
" instance_type='ml.m4.xlarge', # The type of instance to use for training\n",
" output_path='s3://{}/{}/output'.format(session.default_bucket(), prefix),\n",
" # Where to save the output (the model artifacts)\n",
" sagemaker_session=session) # The current SageMaker session"
Expand Down Expand Up @@ -393,9 +394,9 @@
],
"metadata": {
"kernelspec": {
"display_name": "conda_pytorch_p36",
"display_name": "Python 3",
"language": "python",
"name": "conda_pytorch_p36"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -407,7 +408,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
"version": "3.8.5"
}
},
"nbformat": 4,
Expand Down