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Inference recommender fix typos #3226

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merged 4 commits into from
Oct 3, 2022
Merged

Inference recommender fix typos #3226

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16418df
Changed FailedReason to FailureReason in JSON query
ngluna Mar 15, 2022
986f36d
Fixed inference typo in failure print statements
ngluna Mar 15, 2022
1624be2
replaced client with inference_client
ngluna Mar 15, 2022
e1c5294
Merge branch 'main' into inference_recommender_fix_typos
aaronmarkham Oct 3, 2022
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40 changes: 27 additions & 13 deletions sagemaker-inference-recommender/inference-recommender.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -676,11 +676,11 @@
"import uuid\n",
"from sagemaker import get_execution_role\n",
"\n",
"client = boto3.client(\"sagemaker\", region)\n",
"inference_client = boto3.client(\"sagemaker\", region)\n",
"\n",
"role = get_execution_role()\n",
"default_job = uuid.uuid1()\n",
"default_response = client.create_inference_recommendations_job(\n",
"default_response = inference_client.create_inference_recommendations_job(\n",
" JobName=str(default_job),\n",
" JobDescription=\"\",\n",
" JobType=\"Default\",\n",
Expand Down Expand Up @@ -721,20 +721,22 @@
"import pprint\n",
"import pandas as pd\n",
"\n",
"finished = False\n",
"while not finished:\n",
" inference_recommender_job = sm_client.describe_inference_recommendations_job(\n",
"inference_client = boto3.client(\"sagemaker\", region)\n",
"\n",
"stopped = False\n",
"while not stopped:\n",
" inference_recommender_job = inference_client.describe_inference_recommendations_job(\n",
" JobName=str(default_job)\n",
" )\n",
" if inference_recommender_job[\"Status\"] in [\"COMPLETED\", \"STOPPED\", \"FAILED\"]:\n",
" finished = True\n",
" else:\n",
" print(\"In progress\")\n",
" print(\"Inference recommender job in progress\")\n",
" time.sleep(300)\n",
"\n",
"if inference_recommender_job[\"Status\"] == \"FAILED\":\n",
" print(\"Inference recommender job failed \")\n",
" print(\"Failed Reason: {}\".format(inference_recommender_job[\"FailureReason\"]))\n",
" print(\"Failed Reason: {}\".inference_recommender_job[\"FailureReason\"])\n",
"else:\n",
" print(\"Inference recommender job completed\")"
]
Expand Down Expand Up @@ -793,9 +795,14 @@
"metadata": {},
"outputs": [],
"source": [
"import boto3\n",
"import uuid\n",
"\n",
"inference_client = boto3.client(\"sagemaker\", region)\n",
"\n",
"role = get_execution_role()\n",
"advanced_job = uuid.uuid1()\n",
"advanced_response = sm_client.create_inference_recommendations_job(\n",
"advanced_response = inference_client.create_inference_recommendations_job(\n",
" JobName=str(advanced_job),\n",
" JobDescription=\"\",\n",
" JobType=\"Advanced\",\n",
Expand Down Expand Up @@ -841,20 +848,27 @@
"metadata": {},
"outputs": [],
"source": [
"finished = False\n",
"while not finished:\n",
" inference_recommender_job = sm_client.describe_inference_recommendations_job(\n",
"import boto3\n",
"import uuid\n",
"import pprint\n",
"import pandas as pd\n",
"\n",
"inference_client = boto3.client(\"sagemaker\", region)\n",
"\n",
"stopped = False\n",
"while not stopped:\n",
" inference_recommender_job = inference_client.describe_inference_recommendations_job(\n",
" JobName=str(advanced_job)\n",
" )\n",
" if inference_recommender_job[\"Status\"] in [\"COMPLETED\", \"STOPPED\", \"FAILED\"]:\n",
" finished = True\n",
" else:\n",
" print(\"In progress\")\n",
" print(\"Inference recommender job in progress\")\n",
" time.sleep(300)\n",
"\n",
"if inference_recommender_job[\"Status\"] == \"FAILED\":\n",
" print(\"Inference recommender job failed \")\n",
" print(\"Failed Reason: {}\".format(inference_recommender_job[\"FailureReason\"]))\n",
" print(\"Failed Reason: {}\".inference_recommender_job[\"FailureReason\"])\n",
"else:\n",
" print(\"Inference recommender job completed\")"
]
Expand Down