{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "5d09b2d0-cf77-4aba-a8b2-801f753f73d0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import boto3\n",
    "import sagemaker\n",
    "from sagemaker import get_execution_role\n",
    "from sagemaker.experiments.run import Run\n",
    "from datetime import datetime\n",
    "from sagemaker.session import Session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "ff42ba87-4d9a-44d4-87f0-714e65ec37c5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'arn:aws:iam::053544207942:role/Studio'"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_execution_role()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "e7b08769-fe05-4192-b460-d90229564d43",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "region = \"us-west-2\"\n",
    "boto_sess = boto3.Session(region_name=region)\n",
    "sm_sess = Session(boto_session=boto_sess)\n",
    "sm = boto_sess.client(\"sagemaker\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "90cd1c95-c262-411c-8fa1-9ecc44ca2de1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "tag_list = [{'Key': 'team', 'Value': 'test'}]\n",
    "now = int(datetime.now().timestamp())\n",
    "experiment_name = f'create-with-team-tag-{now}'\n",
    "run_name = f'run-create-with-tags'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "a1330ff6-b55b-45f8-8dfd-2367400c0461",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating create-with-team-tag-1690142277 with tags [{'Key': 'team', 'Value': 'test'}]\n"
     ]
    }
   ],
   "source": [
    "print(f'Creating {experiment_name} with tags {tag_list}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "1edc52e2-a556-4bb8-9303-0e7d1906b78d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "ename": "ClientError",
     "evalue": "An error occurred (AccessDeniedException) when calling the CreateExperiment operation: User: arn:aws:sts::053544207942:assumed-role/Studio/SageMaker is not authorized to perform: sagemaker:CreateExperiment on resource: arn:aws:sagemaker:us-west-2:053544207942:experiment/create-with-team-tag-1690142277 because no identity-based policy allows the sagemaker:CreateExperiment action",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mClientError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-97-aa1dbffb3e4c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# create with no tags\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mRun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexperiment_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexperiment_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrun_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrun_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msagemaker_session\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msm_sess\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mrun\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m     \u001b[0mrun\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog_parameter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'optimizer'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'adam'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sagemaker/experiments/run.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, experiment_name, run_name, experiment_display_name, run_display_name, tags, sagemaker_session)\u001b[0m\n\u001b[1;32m    171\u001b[0m             \u001b[0mdisplay_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexperiment_display_name\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    172\u001b[0m             \u001b[0mtags\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtags\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 173\u001b[0;31m             \u001b[0msagemaker_session\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msagemaker_session\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    174\u001b[0m         )\n\u001b[1;32m    175\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sagemaker/experiments/experiment.py\u001b[0m in \u001b[0;36m_load_or_create\u001b[0;34m(cls, experiment_name, display_name, description, tags, sagemaker_session)\u001b[0m\n\u001b[1;32m    169\u001b[0m             \u001b[0merror_message\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mce\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Error\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Message\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    170\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0merror_code\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"ValidationException\"\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m\"already exists\"\u001b[0m \u001b[0;32min\u001b[0m \u001b[0merror_message\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 171\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mce\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    172\u001b[0m             \u001b[0;31m# already exists\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    173\u001b[0m             \u001b[0mexperiment\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mExperiment\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexperiment_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msagemaker_session\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sagemaker/experiments/experiment.py\u001b[0m in \u001b[0;36m_load_or_create\u001b[0;34m(cls, experiment_name, display_name, description, tags, sagemaker_session)\u001b[0m\n\u001b[1;32m    163\u001b[0m                 \u001b[0mdescription\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdescription\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    164\u001b[0m                 \u001b[0mtags\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtags\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 165\u001b[0;31m                 \u001b[0msagemaker_session\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msagemaker_session\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    166\u001b[0m             )\n\u001b[1;32m    167\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mClientError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mce\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sagemaker/experiments/experiment.py\u001b[0m in \u001b[0;36mcreate\u001b[0;34m(cls, experiment_name, display_name, description, tags, sagemaker_session)\u001b[0m\n\u001b[1;32m    124\u001b[0m             \u001b[0mdescription\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdescription\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    125\u001b[0m             \u001b[0mtags\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtags\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 126\u001b[0;31m             \u001b[0msagemaker_session\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msagemaker_session\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    127\u001b[0m         )\n\u001b[1;32m    128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sagemaker/apiutils/_base_types.py\u001b[0m in \u001b[0;36m_construct\u001b[0;34m(cls, boto_method_name, sagemaker_session, **kwargs)\u001b[0m\n\u001b[1;32m    188\u001b[0m         \u001b[0msagemaker_session\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msagemaker_session\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0m_utils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdefault_session\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    189\u001b[0m         \u001b[0minstance\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msagemaker_session\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 190\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0minstance\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_invoke_api\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mboto_method_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    191\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    192\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_set_tags\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresource_arn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtags\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sagemaker/apiutils/_base_types.py\u001b[0m in \u001b[0;36m_invoke_api\u001b[0;34m(self, boto_method, boto_method_members)\u001b[0m\n\u001b[1;32m    224\u001b[0m         \u001b[0mapi_kwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_boto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mapi_values\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    225\u001b[0m         \u001b[0mapi_method\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msagemaker_session\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msagemaker_client\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mboto_method\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 226\u001b[0;31m         \u001b[0mapi_boto_response\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mapi_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mapi_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    227\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwith_boto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mapi_boto_response\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/botocore/client.py\u001b[0m in \u001b[0;36m_api_call\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    528\u001b[0m                 )\n\u001b[1;32m    529\u001b[0m             \u001b[0;31m# The \"self\" in this scope is referring to the BaseClient.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 530\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_api_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moperation_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    531\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    532\u001b[0m         \u001b[0m_api_call\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpy_operation_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/botocore/client.py\u001b[0m in \u001b[0;36m_make_api_call\u001b[0;34m(self, operation_name, api_params)\u001b[0m\n\u001b[1;32m    962\u001b[0m             \u001b[0merror_code\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparsed_response\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Error\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Code\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    963\u001b[0m             \u001b[0merror_class\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_code\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror_code\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 964\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0merror_class\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparsed_response\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moperation_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    965\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    966\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mparsed_response\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mClientError\u001b[0m: An error occurred (AccessDeniedException) when calling the CreateExperiment operation: User: arn:aws:sts::053544207942:assumed-role/Studio/SageMaker is not authorized to perform: sagemaker:CreateExperiment on resource: arn:aws:sagemaker:us-west-2:053544207942:experiment/create-with-team-tag-1690142277 because no identity-based policy allows the sagemaker:CreateExperiment action"
     ]
    }
   ],
   "source": [
    "# create with no tags\n",
    "with Run(experiment_name=experiment_name, run_name=run_name, sagemaker_session=sm_sess) as run:\n",
    "    run.log_parameter('optimizer', 'adam')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "da8f847b-f3f9-41e0-ab9d-964de9118d6e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "ename": "ClientError",
     "evalue": "An error occurred (AccessDeniedException) when calling the CreateExperiment operation: User: arn:aws:sts::053544207942:assumed-role/Studio/SageMaker is not authorized to perform: sagemaker:CreateExperiment on resource: arn:aws:sagemaker:us-west-2:053544207942:experiment/create-with-team-tag-1690142277 because no identity-based policy allows the sagemaker:CreateExperiment action",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mClientError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-98-172adaa0bce1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# create with tags\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mRun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexperiment_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexperiment_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrun_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrun_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msagemaker_session\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msm_sess\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtags\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtag_list\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mrun\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m     \u001b[0mrun\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog_parameter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'optimizer'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'adam'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sagemaker/experiments/run.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, experiment_name, run_name, experiment_display_name, run_display_name, tags, sagemaker_session)\u001b[0m\n\u001b[1;32m    171\u001b[0m             \u001b[0mdisplay_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexperiment_display_name\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    172\u001b[0m             \u001b[0mtags\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtags\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 173\u001b[0;31m             \u001b[0msagemaker_session\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msagemaker_session\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    174\u001b[0m         )\n\u001b[1;32m    175\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sagemaker/experiments/experiment.py\u001b[0m in \u001b[0;36m_load_or_create\u001b[0;34m(cls, experiment_name, display_name, description, tags, sagemaker_session)\u001b[0m\n\u001b[1;32m    169\u001b[0m             \u001b[0merror_message\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mce\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Error\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Message\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    170\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0merror_code\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"ValidationException\"\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m\"already exists\"\u001b[0m \u001b[0;32min\u001b[0m \u001b[0merror_message\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 171\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mce\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    172\u001b[0m             \u001b[0;31m# already exists\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    173\u001b[0m             \u001b[0mexperiment\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mExperiment\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexperiment_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msagemaker_session\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sagemaker/experiments/experiment.py\u001b[0m in \u001b[0;36m_load_or_create\u001b[0;34m(cls, experiment_name, display_name, description, tags, sagemaker_session)\u001b[0m\n\u001b[1;32m    163\u001b[0m                 \u001b[0mdescription\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdescription\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    164\u001b[0m                 \u001b[0mtags\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtags\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 165\u001b[0;31m                 \u001b[0msagemaker_session\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msagemaker_session\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    166\u001b[0m             )\n\u001b[1;32m    167\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mClientError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mce\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sagemaker/experiments/experiment.py\u001b[0m in \u001b[0;36mcreate\u001b[0;34m(cls, experiment_name, display_name, description, tags, sagemaker_session)\u001b[0m\n\u001b[1;32m    124\u001b[0m             \u001b[0mdescription\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdescription\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    125\u001b[0m             \u001b[0mtags\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtags\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 126\u001b[0;31m             \u001b[0msagemaker_session\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msagemaker_session\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    127\u001b[0m         )\n\u001b[1;32m    128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sagemaker/apiutils/_base_types.py\u001b[0m in \u001b[0;36m_construct\u001b[0;34m(cls, boto_method_name, sagemaker_session, **kwargs)\u001b[0m\n\u001b[1;32m    188\u001b[0m         \u001b[0msagemaker_session\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msagemaker_session\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0m_utils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdefault_session\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    189\u001b[0m         \u001b[0minstance\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msagemaker_session\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 190\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0minstance\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_invoke_api\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mboto_method_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    191\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    192\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_set_tags\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresource_arn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtags\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/sagemaker/apiutils/_base_types.py\u001b[0m in \u001b[0;36m_invoke_api\u001b[0;34m(self, boto_method, boto_method_members)\u001b[0m\n\u001b[1;32m    224\u001b[0m         \u001b[0mapi_kwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_boto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mapi_values\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    225\u001b[0m         \u001b[0mapi_method\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msagemaker_session\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msagemaker_client\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mboto_method\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 226\u001b[0;31m         \u001b[0mapi_boto_response\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mapi_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mapi_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    227\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwith_boto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mapi_boto_response\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/botocore/client.py\u001b[0m in \u001b[0;36m_api_call\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    528\u001b[0m                 )\n\u001b[1;32m    529\u001b[0m             \u001b[0;31m# The \"self\" in this scope is referring to the BaseClient.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 530\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_api_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moperation_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    531\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    532\u001b[0m         \u001b[0m_api_call\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpy_operation_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/botocore/client.py\u001b[0m in \u001b[0;36m_make_api_call\u001b[0;34m(self, operation_name, api_params)\u001b[0m\n\u001b[1;32m    962\u001b[0m             \u001b[0merror_code\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparsed_response\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Error\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Code\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    963\u001b[0m             \u001b[0merror_class\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_code\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror_code\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 964\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0merror_class\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparsed_response\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moperation_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    965\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    966\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mparsed_response\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mClientError\u001b[0m: An error occurred (AccessDeniedException) when calling the CreateExperiment operation: User: arn:aws:sts::053544207942:assumed-role/Studio/SageMaker is not authorized to perform: sagemaker:CreateExperiment on resource: arn:aws:sagemaker:us-west-2:053544207942:experiment/create-with-team-tag-1690142277 because no identity-based policy allows the sagemaker:CreateExperiment action"
     ]
    }
   ],
   "source": [
    "# create with tags\n",
    "with Run(experiment_name=experiment_name, run_name=run_name, sagemaker_session=sm_sess, tags=tag_list) as run:\n",
    "    run.log_parameter('optimizer', 'adam')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "7ff91cbe-eedd-4d77-9f8b-b36dea776db0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# create with tags also with correct value\n",
    "correct_tag_list = [{'Key': 'team', 'Value': 'mariners'}]\n",
    "with Run(experiment_name=experiment_name, run_name=run_name, sagemaker_session=sm_sess, tags=correct_tag_list) as run:\n",
    "    run.log_parameter('optimizer', 'adam')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "536c9fd4-115d-41f3-8495-8d30955a864c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ExperimentName': 'create-with-team-tag-1690142277',\n",
       " 'ExperimentArn': 'arn:aws:sagemaker:us-west-2:053544207942:experiment/create-with-team-tag-1690142277',\n",
       " 'DisplayName': 'create-with-team-tag-1690142277',\n",
       " 'CreationTime': datetime.datetime(2023, 7, 23, 19, 57, 59, 875000, tzinfo=tzlocal()),\n",
       " 'CreatedBy': {'UserProfileArn': 'arn:aws:sagemaker:us-west-2:053544207942:user-profile/d-ymrfipd8icte/default-1665278051783',\n",
       "  'UserProfileName': 'default-1665278051783',\n",
       "  'DomainId': 'd-ymrfipd8icte'},\n",
       " 'LastModifiedTime': datetime.datetime(2023, 7, 23, 19, 58, 0, 136000, tzinfo=tzlocal()),\n",
       " 'LastModifiedBy': {'UserProfileArn': 'arn:aws:sagemaker:us-west-2:053544207942:user-profile/d-ymrfipd8icte/default-1665278051783'},\n",
       " 'ResponseMetadata': {'RequestId': 'b677fd08-60d1-492a-8ae2-1681f174876c',\n",
       "  'HTTPStatusCode': 200,\n",
       "  'HTTPHeaders': {'x-amzn-requestid': 'b677fd08-60d1-492a-8ae2-1681f174876c',\n",
       "   'content-type': 'application/x-amz-json-1.1',\n",
       "   'content-length': '593',\n",
       "   'date': 'Sun, 23 Jul 2023 19:58:00 GMT'},\n",
       "  'RetryAttempts': 0}}"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "experiment = sm.describe_experiment(ExperimentName=experiment_name)\n",
    "experiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "e90ca1e4-b434-4ae6-88c8-5f8db6e8adb9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sagemaker:user-profile-arn   =    arn:aws:sagemaker:us-west-2:053544207942:user-profile/d-ymrfipd8icte/default-1665278051783\n",
      "sagemaker:domain-arn   =    arn:aws:sagemaker:us-west-2:053544207942:domain/d-ymrfipd8icte\n",
      "team   =    mariners\n"
     ]
    }
   ],
   "source": [
    "tags = sm.list_tags(ResourceArn=experiment[\"ExperimentArn\"], MaxResults=100)[\"Tags\"]\n",
    "for tag in tags:\n",
    "    print(f'{tag[\"Key\"]}   =    {tag[\"Value\"]}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "d9ab5554-d653-4e61-8e6e-500c0f3149f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Results': [{'Experiment': {'ExperimentName': 'create-with-team-tag-1690142277',\n",
       "    'ExperimentArn': 'arn:aws:sagemaker:us-west-2:053544207942:experiment/create-with-team-tag-1690142277',\n",
       "    'DisplayName': 'create-with-team-tag-1690142277',\n",
       "    'CreationTime': datetime.datetime(2023, 7, 23, 19, 57, 59, tzinfo=tzlocal()),\n",
       "    'CreatedBy': {'UserProfileArn': 'arn:aws:sagemaker:us-west-2:053544207942:user-profile/d-ymrfipd8icte/default-1665278051783',\n",
       "     'UserProfileName': 'default-1665278051783',\n",
       "     'DomainId': 'd-ymrfipd8icte'},\n",
       "    'LastModifiedTime': datetime.datetime(2023, 7, 23, 19, 58, tzinfo=tzlocal()),\n",
       "    'LastModifiedBy': {'UserProfileArn': 'arn:aws:sagemaker:us-west-2:053544207942:user-profile/d-ymrfipd8icte/default-1665278051783'},\n",
       "    'Tags': [{'Key': 'sagemaker:user-profile-arn',\n",
       "      'Value': 'arn:aws:sagemaker:us-west-2:053544207942:user-profile/d-ymrfipd8icte/default-1665278051783'},\n",
       "     {'Key': 'sagemaker:domain-arn',\n",
       "      'Value': 'arn:aws:sagemaker:us-west-2:053544207942:domain/d-ymrfipd8icte'},\n",
       "     {'Key': 'team', 'Value': 'mariners'}]}},\n",
       "  {'Experiment': {'ExperimentName': 'create-with-team-tag-1690142078',\n",
       "    'ExperimentArn': 'arn:aws:sagemaker:us-west-2:053544207942:experiment/create-with-team-tag-1690142078',\n",
       "    'DisplayName': 'create-with-team-tag-1690142078',\n",
       "    'CreationTime': datetime.datetime(2023, 7, 23, 19, 55, 32, tzinfo=tzlocal()),\n",
       "    'CreatedBy': {'UserProfileArn': 'arn:aws:sagemaker:us-west-2:053544207942:user-profile/d-ymrfipd8icte/default-1665278051783',\n",
       "     'UserProfileName': 'default-1665278051783',\n",
       "     'DomainId': 'd-ymrfipd8icte'},\n",
       "    'LastModifiedTime': datetime.datetime(2023, 7, 23, 19, 55, 33, tzinfo=tzlocal()),\n",
       "    'LastModifiedBy': {'UserProfileArn': 'arn:aws:sagemaker:us-west-2:053544207942:user-profile/d-ymrfipd8icte/default-1665278051783'},\n",
       "    'Tags': [{'Key': 'sagemaker:user-profile-arn',\n",
       "      'Value': 'arn:aws:sagemaker:us-west-2:053544207942:user-profile/d-ymrfipd8icte/default-1665278051783'},\n",
       "     {'Key': 'sagemaker:domain-arn',\n",
       "      'Value': 'arn:aws:sagemaker:us-west-2:053544207942:domain/d-ymrfipd8icte'},\n",
       "     {'Key': 'team', 'Value': 'bad-news-bears'}]}},\n",
       "  {'Experiment': {'ExperimentName': 'create-with-team-tag-1690141863',\n",
       "    'ExperimentArn': 'arn:aws:sagemaker:us-west-2:053544207942:experiment/create-with-team-tag-1690141863',\n",
       "    'DisplayName': 'create-with-team-tag-1690141863',\n",
       "    'CreationTime': datetime.datetime(2023, 7, 23, 19, 51, 4, tzinfo=tzlocal()),\n",
       "    'CreatedBy': {'UserProfileArn': 'arn:aws:sagemaker:us-west-2:053544207942:user-profile/d-ymrfipd8icte/default-1665278051783',\n",
       "     'UserProfileName': 'default-1665278051783',\n",
       "     'DomainId': 'd-ymrfipd8icte'},\n",
       "    'LastModifiedTime': datetime.datetime(2023, 7, 23, 19, 51, 15, tzinfo=tzlocal()),\n",
       "    'LastModifiedBy': {'UserProfileArn': 'arn:aws:sagemaker:us-west-2:053544207942:user-profile/d-ymrfipd8icte/default-1665278051783'},\n",
       "    'Tags': [{'Key': 'sagemaker:user-profile-arn',\n",
       "      'Value': 'arn:aws:sagemaker:us-west-2:053544207942:user-profile/d-ymrfipd8icte/default-1665278051783'},\n",
       "     {'Key': 'sagemaker:domain-arn',\n",
       "      'Value': 'arn:aws:sagemaker:us-west-2:053544207942:domain/d-ymrfipd8icte'}]}}],\n",
       " 'NextToken': 'AQICAHiDWq+JufgBKPkmrracSwEwQHF2WRk38RvLknRlj8JerAH1KoRGTXoij6RuL3OtxDLFAAAApjCBowYJKoZIhvcNAQcGoIGVMIGSAgEAMIGMBgkqhkiG9w0BBwEwHgYJYIZIAWUDBAEuMBEEDBniIS0FaKYnx5AflwIBEIBfG8VLKCWcJfTpwCsBOiEZEI1La0wrHrfFTxMhuV3zWHB3V1R3BAm890ZA6t+l8YeS8qVavBiJWnxqD8VcnCWxUCwWYa4mAQDnKQLUad1GiNMCny7I4N8E+ai5rJIN1jo=',\n",
       " 'ResponseMetadata': {'RequestId': '60731e2d-3cb7-4ae1-8731-c1798059b166',\n",
       "  'HTTPStatusCode': 200,\n",
       "  'HTTPHeaders': {'x-amzn-requestid': '60731e2d-3cb7-4ae1-8731-c1798059b166',\n",
       "   'content-type': 'application/x-amz-json-1.1',\n",
       "   'content-length': '2963',\n",
       "   'date': 'Sun, 23 Jul 2023 19:58:02 GMT'},\n",
       "  'RetryAttempts': 0}}"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sm.search(Resource='Experiment', MaxResults=3, SortBy='LastModifiedTime')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0794d1c9-af90-4915-8b85-a4c6cde50003",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "availableInstances": [
   {
    "_defaultOrder": 0,
    "_isFastLaunch": true,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 4,
    "name": "ml.t3.medium",
    "vcpuNum": 2
   },
   {
    "_defaultOrder": 1,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 8,
    "name": "ml.t3.large",
    "vcpuNum": 2
   },
   {
    "_defaultOrder": 2,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.t3.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 3,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.t3.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 4,
    "_isFastLaunch": true,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 8,
    "name": "ml.m5.large",
    "vcpuNum": 2
   },
   {
    "_defaultOrder": 5,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.m5.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 6,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.m5.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 7,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 64,
    "name": "ml.m5.4xlarge",
    "vcpuNum": 16
   },
   {
    "_defaultOrder": 8,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 128,
    "name": "ml.m5.8xlarge",
    "vcpuNum": 32
   },
   {
    "_defaultOrder": 9,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 192,
    "name": "ml.m5.12xlarge",
    "vcpuNum": 48
   },
   {
    "_defaultOrder": 10,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 256,
    "name": "ml.m5.16xlarge",
    "vcpuNum": 64
   },
   {
    "_defaultOrder": 11,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 384,
    "name": "ml.m5.24xlarge",
    "vcpuNum": 96
   },
   {
    "_defaultOrder": 12,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 8,
    "name": "ml.m5d.large",
    "vcpuNum": 2
   },
   {
    "_defaultOrder": 13,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.m5d.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 14,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.m5d.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 15,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 64,
    "name": "ml.m5d.4xlarge",
    "vcpuNum": 16
   },
   {
    "_defaultOrder": 16,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 128,
    "name": "ml.m5d.8xlarge",
    "vcpuNum": 32
   },
   {
    "_defaultOrder": 17,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 192,
    "name": "ml.m5d.12xlarge",
    "vcpuNum": 48
   },
   {
    "_defaultOrder": 18,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 256,
    "name": "ml.m5d.16xlarge",
    "vcpuNum": 64
   },
   {
    "_defaultOrder": 19,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 384,
    "name": "ml.m5d.24xlarge",
    "vcpuNum": 96
   },
   {
    "_defaultOrder": 20,
    "_isFastLaunch": false,
    "category": "General purpose",
    "gpuNum": 0,
    "hideHardwareSpecs": true,
    "memoryGiB": 0,
    "name": "ml.geospatial.interactive",
    "supportedImageNames": [
     "sagemaker-geospatial-v1-0"
    ],
    "vcpuNum": 0
   },
   {
    "_defaultOrder": 21,
    "_isFastLaunch": true,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 4,
    "name": "ml.c5.large",
    "vcpuNum": 2
   },
   {
    "_defaultOrder": 22,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 8,
    "name": "ml.c5.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 23,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.c5.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 24,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.c5.4xlarge",
    "vcpuNum": 16
   },
   {
    "_defaultOrder": 25,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 72,
    "name": "ml.c5.9xlarge",
    "vcpuNum": 36
   },
   {
    "_defaultOrder": 26,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 96,
    "name": "ml.c5.12xlarge",
    "vcpuNum": 48
   },
   {
    "_defaultOrder": 27,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 144,
    "name": "ml.c5.18xlarge",
    "vcpuNum": 72
   },
   {
    "_defaultOrder": 28,
    "_isFastLaunch": false,
    "category": "Compute optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 192,
    "name": "ml.c5.24xlarge",
    "vcpuNum": 96
   },
   {
    "_defaultOrder": 29,
    "_isFastLaunch": true,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.g4dn.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 30,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.g4dn.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 31,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 64,
    "name": "ml.g4dn.4xlarge",
    "vcpuNum": 16
   },
   {
    "_defaultOrder": 32,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 128,
    "name": "ml.g4dn.8xlarge",
    "vcpuNum": 32
   },
   {
    "_defaultOrder": 33,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 4,
    "hideHardwareSpecs": false,
    "memoryGiB": 192,
    "name": "ml.g4dn.12xlarge",
    "vcpuNum": 48
   },
   {
    "_defaultOrder": 34,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 256,
    "name": "ml.g4dn.16xlarge",
    "vcpuNum": 64
   },
   {
    "_defaultOrder": 35,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 61,
    "name": "ml.p3.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 36,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 4,
    "hideHardwareSpecs": false,
    "memoryGiB": 244,
    "name": "ml.p3.8xlarge",
    "vcpuNum": 32
   },
   {
    "_defaultOrder": 37,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 8,
    "hideHardwareSpecs": false,
    "memoryGiB": 488,
    "name": "ml.p3.16xlarge",
    "vcpuNum": 64
   },
   {
    "_defaultOrder": 38,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 8,
    "hideHardwareSpecs": false,
    "memoryGiB": 768,
    "name": "ml.p3dn.24xlarge",
    "vcpuNum": 96
   },
   {
    "_defaultOrder": 39,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.r5.large",
    "vcpuNum": 2
   },
   {
    "_defaultOrder": 40,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.r5.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 41,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 64,
    "name": "ml.r5.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 42,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 128,
    "name": "ml.r5.4xlarge",
    "vcpuNum": 16
   },
   {
    "_defaultOrder": 43,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 256,
    "name": "ml.r5.8xlarge",
    "vcpuNum": 32
   },
   {
    "_defaultOrder": 44,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 384,
    "name": "ml.r5.12xlarge",
    "vcpuNum": 48
   },
   {
    "_defaultOrder": 45,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 512,
    "name": "ml.r5.16xlarge",
    "vcpuNum": 64
   },
   {
    "_defaultOrder": 46,
    "_isFastLaunch": false,
    "category": "Memory Optimized",
    "gpuNum": 0,
    "hideHardwareSpecs": false,
    "memoryGiB": 768,
    "name": "ml.r5.24xlarge",
    "vcpuNum": 96
   },
   {
    "_defaultOrder": 47,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 16,
    "name": "ml.g5.xlarge",
    "vcpuNum": 4
   },
   {
    "_defaultOrder": 48,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 32,
    "name": "ml.g5.2xlarge",
    "vcpuNum": 8
   },
   {
    "_defaultOrder": 49,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 64,
    "name": "ml.g5.4xlarge",
    "vcpuNum": 16
   },
   {
    "_defaultOrder": 50,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 128,
    "name": "ml.g5.8xlarge",
    "vcpuNum": 32
   },
   {
    "_defaultOrder": 51,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 1,
    "hideHardwareSpecs": false,
    "memoryGiB": 256,
    "name": "ml.g5.16xlarge",
    "vcpuNum": 64
   },
   {
    "_defaultOrder": 52,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 4,
    "hideHardwareSpecs": false,
    "memoryGiB": 192,
    "name": "ml.g5.12xlarge",
    "vcpuNum": 48
   },
   {
    "_defaultOrder": 53,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 4,
    "hideHardwareSpecs": false,
    "memoryGiB": 384,
    "name": "ml.g5.24xlarge",
    "vcpuNum": 96
   },
   {
    "_defaultOrder": 54,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 8,
    "hideHardwareSpecs": false,
    "memoryGiB": 768,
    "name": "ml.g5.48xlarge",
    "vcpuNum": 192
   },
   {
    "_defaultOrder": 55,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 8,
    "hideHardwareSpecs": false,
    "memoryGiB": 1152,
    "name": "ml.p4d.24xlarge",
    "vcpuNum": 96
   },
   {
    "_defaultOrder": 56,
    "_isFastLaunch": false,
    "category": "Accelerated computing",
    "gpuNum": 8,
    "hideHardwareSpecs": false,
    "memoryGiB": 1152,
    "name": "ml.p4de.24xlarge",
    "vcpuNum": 96
   }
  ],
  "instance_type": "ml.t3.medium",
  "kernelspec": {
   "display_name": "Python 3 (Data Science)",
   "language": "python",
   "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-west-2:236514542706:image/datascience-1.0"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}