Skip to content

Fix: connect 02 and 03 #11

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 3 commits into from
Nov 7, 2022
Merged

Fix: connect 02 and 03 #11

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
f14b6c7
Connect hpo and evaluation
Nov 4, 2022
b4aba82
Merge branch 'main' into fix/connect-02-03
Nov 4, 2022
388b6b6
Lower number of max training jobs
Nov 6, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion 01_preprocessing/data_preprocessing.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -296,7 +296,7 @@
"kernelspec": {
"display_name": "Python 3 (Data Science)",
"language": "python",
"name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-1:081325390199:image/datascience-1.0"
"name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:eu-west-1:470317259841:image/datascience-1.0"
},
"language_info": {
"codemirror_mode": {
Expand Down
22 changes: 19 additions & 3 deletions 02_training/training.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -43,8 +43,8 @@
"metadata": {},
"outputs": [],
"source": [
"processed_data_prefix = f'{prefix}/outputs' #prefix generated by data processing module\n",
"processed_data_s3_uri = f's3://{default_bucket}/{processed_data_prefix}'"
"processed_data_s3_uri = f's3://{default_bucket}/{prefix}/outputs'\n",
"model_output_path = f's3://{default_bucket}/{prefix}/outputs/model'"
]
},
{
Expand Down Expand Up @@ -147,7 +147,7 @@
" hyperparameter_ranges,\n",
" metric_definitions=metric_definitions,\n",
" objective_type=\"Maximize\",\n",
" max_jobs=6,\n",
" max_jobs=2, # Low because of demo purposes\n",
" max_parallel_jobs=2,\n",
" base_tuning_job_name=\"cv-hpo\",\n",
")\n",
Expand Down Expand Up @@ -185,6 +185,22 @@
"\n",
"print(f\"\\nBest model artifact file is uploaded here: {best_model_uri}\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Copy the best model into the prefix used for this project. Note that's possible to directly reference the tuner's output, as above, but given the modularity of this workshop, the artefacts are copied to a known location in S3."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"!aws s3 cp {best_model_uri} {model_output_path}/model.tar.gz"
]
}
],
"metadata": {
Expand Down
37 changes: 17 additions & 20 deletions 03_model_evaluation/model-evaluation-processing-job.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -96,14 +96,11 @@
"metadata": {},
"outputs": [],
"source": [
"s3_client = boto3.client('s3')\n",
"model_dir = s3_client.list_objects_v2(Bucket=bucket, Delimiter='/', Prefix=f'{prefix}/{prefix}')['CommonPrefixes'][-1]['Prefix']\n",
"\n",
"s3_images = f's3://{bucket}/{prefix}/outputs/test/'\n",
"s3_manifest = f's3://{bucket}/{prefix}/outputs/manifest'\n",
"s3_model = f's3://{bucket}/{model_dir}output'\n",
"s3_model = f's3://{bucket}/{prefix}/outputs/model/'\n",
"\n",
"print(f's3_images: {s3_images},\\n s3_manifest: {s3_manifest},\\n s3_model: {s3_model}')"
"print(f's3_images: {s3_images},\\ns3_manifest: {s3_manifest},\\ns3_model: {s3_model}')"
]
},
{
Expand Down Expand Up @@ -281,20 +278,20 @@
"outputs": [],
"source": [
"script_processor.run(\n",
" code='evaluation.py',\n",
" arguments=[\"--model-file\", \"model.tar.gz\"],\n",
" inputs=[ProcessingInput(source=s3_images, \n",
" destination=\"/opt/ml/processing/input/test\"),\n",
" ProcessingInput(source=s3_manifest, \n",
" destination=\"/opt/ml/processing/input/manifest\"),\n",
" ProcessingInput(source=s3_model, \n",
" destination=\"/opt/ml/processing/model\"),\n",
" ],\n",
" outputs=[\n",
" ProcessingOutput(output_name=\"evaluation\", source=\"/opt/ml/processing/evaluation\", \n",
" destination=s3_evaluation_output),\n",
" ]\n",
" )"
" code='evaluation.py',\n",
" arguments=[\"--model-file\", \"model.tar.gz\"],\n",
" inputs=[ProcessingInput(source=s3_images, \n",
" destination=\"/opt/ml/processing/input/test\"),\n",
" ProcessingInput(source=s3_manifest, \n",
" destination=\"/opt/ml/processing/input/manifest\"),\n",
" ProcessingInput(source=s3_model, \n",
" destination=\"/opt/ml/processing/model\"),\n",
" ],\n",
" outputs=[\n",
" ProcessingOutput(output_name=\"evaluation\", source=\"/opt/ml/processing/evaluation\", \n",
" destination=s3_evaluation_output),\n",
" ]\n",
")"
]
},
{
Expand Down Expand Up @@ -359,7 +356,7 @@
"kernelspec": {
"display_name": "Python 3 (Data Science)",
"language": "python",
"name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-1:081325390199:image/datascience-1.0"
"name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:eu-west-1:470317259841:image/datascience-1.0"
},
"language_info": {
"codemirror_mode": {
Expand Down