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vrkharevrkhare
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fixing the us-east-2 and eu-west-1 container typos
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‎advanced_functionality/handling_kms_encrypted_data/handling_kms_encrypted_data.ipynb

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@@ -30,23 +30,27 @@
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"\n",
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"## Setup\n",
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"\n",
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"### Prerequisites\n",
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"\n",
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"In order to successfully run this notebook, you must first:\n",
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"\n",
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"1. Have an existing KMS key from AWS IAM console or create one ([learn more](http://docs.aws.amazon.com/kms/latest/developerguide/create-keys.html)).\n",
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"2. Allow the IAM role used for SageMaker to encrypt and decrypt data with this key from within applications and when using AWS services integrated with KMS ([learn more](http://docs.aws.amazon.com/console/kms/key-users)).\n",
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"\n",
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"We use the `key-id` from the KMS key ARN `arn:aws:kms:region:acct-id:key/key-id`.\n",
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"\n",
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"### General Setup\n",
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"Let's start by specifying:\n",
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"* AWS region.\n",
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"* The IAM role arn used to give learning and hosting access to your data. See the documentation for how to specify these.\n",
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"* The S3 bucket that you want to use for training and model data.\n",
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"\n",
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"### KMS key setup\n",
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"1. Use an existing KMS key from AWS IAM console or create one ([learn more](http://docs.aws.amazon.com/kms/latest/developerguide/create-keys.html)).\n",
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"2. Allow the IAM role used for SageMaker to encrypt and decrypt data with this key from within applications and when using AWS services integrated with KMS ([learn more](http://docs.aws.amazon.com/console/kms/key-users)).\n",
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"\n",
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"We use the `key-id` from the KMS key ARN `arn:aws:kms:region:acct-id:key/key-id`."
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"* The S3 bucket that you want to use for training and model data."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true,
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"isConfigCell": true
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},
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"outputs": [],
@@ -65,9 +69,9 @@
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"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
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"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)\n",
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"\n",
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"kms_key_id = '<bring your own key-id>'\n",
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"kms_key_id = '<your_kms_key_arn_here>'\n",
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"\n",
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"bucket='<s3 bucket>' # put your s3 bucket name here, and create s3 bucket\n",
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"bucket='<your_s3_bucket_name_here>' # put your s3 bucket name here, and create s3 bucket\n",
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"prefix = 'sagemarker/kms-new'\n",
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"# customize to your bucket where you have stored the data\n",
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"bucket_path = 'https://s3-{}.amazonaws.com/{}'.format(region,bucket)"
@@ -89,7 +93,9 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"!conda install -y -c conda-forge scikit-learn"
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"from sklearn.datasets import load_boston\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"from sklearn.model_selection import train_test_split\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def write_file(X, y, fname):\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"train_file = 'train.csv'\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"s3 = boto3.client('s3')\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"containers = {'us-west-2': '433757028032.dkr.ecr.us-west-2.amazonaws.com/xgboost:latest',\n",
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" 'us-east-1': '811284229777.dkr.ecr.us-east-1.amazonaws.com/xgboost:latest',\n",
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" 'us-east-2': '825641698319.dkr.ecr.us-east-1.amazonaws.com/xgboost:latest',\n",
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" 'eu-west-1': '685385470294.dkr.ecr.us-east-1.amazonaws.com/xgboost:latest'}\n",
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" 'us-east-2': '825641698319.dkr.ecr.us-east-2.amazonaws.com/xgboost:latest',\n",
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" 'eu-west-1': '685385470294.dkr.ecr.eu-west-1.amazonaws.com/xgboost:latest'}\n",
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"container = containers[boto3.Session().region_name]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"%%time\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"%%time\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"from time import gmtime, strftime\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"%%time\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"runtime_client = boto3.client('sagemaker-runtime')"
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"import sys\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"%%time\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"client.delete_endpoint(EndpointName=endpoint_name)"
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"#client.delete_endpoint(EndpointName=endpoint_name)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Environment (conda_python3)",
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"display_name": "conda_python3",
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"language": "python",
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"name": "conda_python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.3"
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"version": "3.6.2"
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},
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"notice": "Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the \"License\"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the \"license\" file accompanying this file. This file is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License."
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},

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