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Nov 29, 2017
Merged

Fixed the roles from all the notebooks #122

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6 changes: 3 additions & 3 deletions advanced_functionality/data_distribution_types/data_distribution_types.ipynb
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Expand Up @@ -54,9 +54,9 @@
"# Define IAM role\n",
"import boto3\n",
"import re\n",
" \n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)"
"from sagemaker import get_execution_role\n",
"\n",
"role = get_execution_role()"
]
},
{
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4 changes: 2 additions & 2 deletions advanced_functionality/handling_kms_encrypted_data/handling_kms_encrypted_data.ipynb
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Expand Up @@ -62,11 +62,11 @@
"import pandas as pd\n",
"import numpy as np\n",
"import re\n",
"from sagemaker import get_execution_role\n",
"\n",
"region = boto3.Session().region_name\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)\n",
"role = get_execution_role()\n",
"\n",
"kms_key_id = '<your-kms-key-id>'\n",
"\n",
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9 changes: 6 additions & 3 deletions advanced_functionality/kmeans_bring_your_own_model/kmeans_bring_your_own_model.ipynb
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Expand Up @@ -56,14 +56,17 @@
"import boto3\n",
"import re\n",
" \n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)"
"from sagemaker import get_execution_role\n",
"\n",
"role = get_execution_role()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
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4 changes: 2 additions & 2 deletions advanced_functionality/parquet_to_recordio_protobuf/parquet_to_recordio_protobuf.ipynb
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Expand Up @@ -40,9 +40,9 @@
"import pandas as pd\n",
"import numpy as np\n",
"import time\n",
"from sagemaker import get_execution_role\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)\n",
"role = get_execution_role()\n",
"\n",
"bucket = '<S3 bucket>'\n",
"prefix = 'sagemaker/parquet'"
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6 changes: 3 additions & 3 deletions advanced_functionality/r_bring_your_own/r_bring_your_own.ipynb
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Expand Up @@ -56,9 +56,9 @@
"# Define IAM role\n",
"import boto3\n",
"import re\n",
" \n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)"
"from sagemaker import get_execution_role\n",
"\n",
"role = get_execution_role()"
]
},
{
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8 changes: 4 additions & 4 deletions advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.ipynb
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Expand Up @@ -327,13 +327,13 @@
"# Define IAM role\n",
"import boto3\n",
"import re\n",
" \n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)\n",
"\n",
"import os\n",
"import numpy as np\n",
"import pandas as pd"
"import pandas as pd\n",
"from sagemaker import get_execution_role\n",
"\n",
"role = get_execution_role()"
]
},
{
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4 changes: 2 additions & 2 deletions advanced_functionality/xgboost_bring_your_own_model/xgboost_bring_your_own_model.ipynb
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Expand Up @@ -55,11 +55,11 @@
"import boto3\n",
"import re\n",
"import json\n",
"from sagemaker import get_execution_role\n",
"\n",
"region = boto3.Session().region_name\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)\n",
"role = get_execution_role()\n",
"\n",
"bucket='<s3 bucket>' # put your s3 bucket name here, and create s3 bucket\n",
"prefix = 'sagemaker/xgboost-byo'\n",
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4 changes: 2 additions & 2 deletions ...tion_to_amazon_algorithms/factorization_machines_mnist/factorization_machines_mnist.ipynb
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Expand Up @@ -66,9 +66,9 @@
"# Define IAM role\n",
"import boto3\n",
"import re\n",
"from sagemaker import get_execution_role\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)"
"role = get_execution_role()"
]
},
{
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8 changes: 3 additions & 5 deletions ..._to_amazon_algorithms/imageclassification_caltech/Image-classification-fulltraining.ipynb
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Expand Up @@ -46,17 +46,15 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"metadata": {},
"outputs": [],
"source": [
"%%time\n",
"import boto3\n",
"import re\n",
"from sagemaker import get_execution_role\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)\n",
"role = get_execution_role()\n",
"\n",
"bucket='<<bucket-name>>' # customize to your bucket\n",
"containers = {'us-west-2': '433757028032.dkr.ecr.us-west-2.amazonaws.com/image-classification:latest',\n",
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8 changes: 3 additions & 5 deletions ...mazon_algorithms/imageclassification_caltech/Image-classification-transfer-learning.ipynb
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Expand Up @@ -45,17 +45,15 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"metadata": {},
"outputs": [],
"source": [
"%%time\n",
"import boto3\n",
"import re\n",
"from sagemaker import get_execution_role\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)\n",
"role = get_execution_role()\n",
"\n",
"bucket='<<bucket-name>>' # customize to your bucket\n",
"\n",
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7 changes: 3 additions & 4 deletions introduction_to_amazon_algorithms/lda_topic_modeling/LDA-Introduction.ipynb
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Expand Up @@ -119,13 +119,12 @@
},
"outputs": [],
"source": [
"from sagemaker import get_execution_role\n",
"\n",
"role = get_execution_role()\n",
"bucket = '<your_s3_bucket_name_here>'\n",
"prefix = 'sagemaker/lda_introduction'\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)\n",
"\n",
"\n",
"print('Training input/output will be stored in {}/{}'.format(bucket, prefix))\n",
"print('\\nIAM Role: {}'.format(role))"
]
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4 changes: 2 additions & 2 deletions introduction_to_amazon_algorithms/linear_learner_mnist/linear_learner_mnist.ipynb
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Expand Up @@ -64,9 +64,9 @@
"# Define IAM role\n",
"import boto3\n",
"import re\n",
"from sagemaker import get_execution_role\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)"
"role = get_execution_role()"
]
},
{
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4 changes: 2 additions & 2 deletions introduction_to_amazon_algorithms/ntm_synthetic/ntm_synthetic.ipynb
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Expand Up @@ -67,9 +67,9 @@
"# Define IAM role\n",
"import boto3\n",
"import re\n",
"from sagemaker import get_execution_role\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)"
"role = get_execution_role()"
]
},
{
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6 changes: 3 additions & 3 deletions introduction_to_amazon_algorithms/pca_mnist/pca_mnist.ipynb
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Expand Up @@ -68,9 +68,9 @@
"# Define IAM role\n",
"import boto3\n",
"import re\n",
" \n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)"
"from sagemaker import get_execution_role\n",
"\n",
"role = get_execution_role()"
]
},
{
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5 changes: 2 additions & 3 deletions ...n_algorithms/seq2seq_translation_en-de/SageMaker-Seq2Seq-Translation-English-German.ipynb
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Expand Up @@ -61,10 +61,9 @@
"source": [
"import boto3\n",
"import re\n",
"from sagemaker import get_execution_role\n",
"\n",
"# Fetch IAM role\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)"
"role = get_execution_role()"
]
},
{
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5 changes: 2 additions & 3 deletions introduction_to_amazon_algorithms/xgboost_abalone/xgboost_abalone.ipynb
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Expand Up @@ -52,12 +52,11 @@
"import os\n",
"import boto3\n",
"import re\n",
"from sagemaker import get_execution_role\n",
"\n",
"role = get_execution_role()\n",
"region = boto3.Session().region_name\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)\n",
"\n",
"bucket='<bucket-name>' # put your s3 bucket name here, and create s3 bucket\n",
"prefix = 'sagemarker/xgboost-regression'\n",
"# customize to your bucket where you have stored the data\n",
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5 changes: 2 additions & 3 deletions introduction_to_amazon_algorithms/xgboost_mnist/xgboost_mnist.ipynb
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Expand Up @@ -62,13 +62,12 @@
"import copy\n",
"import time\n",
"from time import gmtime, strftime\n",
"from sagemaker import get_execution_role\n",
"\n",
"role = get_execution_role()\n",
"\n",
"region = boto3.Session().region_name\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)\n",
"\n",
"bucket='<bucket-name>' # put your s3 bucket name here, and create s3 bucket\n",
"prefix = 'sagemarker/xgboost-multiclass-classification'\n",
"# customize to your bucket where you have stored the data\n",
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4 changes: 2 additions & 2 deletions ...tion_to_applying_machine_learning/breast_cancer_prediction/Breast Cancer Prediction.ipynb
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Expand Up @@ -63,9 +63,9 @@
"import os\n",
"import boto3\n",
"import re\n",
"from sagemaker import get_execution_role\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)\n",
"role = get_execution_role()\n",
"\n",
"bucket = '<your_s3_bucket_name_here>'# enter your s3 bucket where you will copy data and model artifacts\n",
"prefix = 'sagemaker/breast_cancer_prediction' # place to upload training files within the bucket"
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4 changes: 2 additions & 2 deletions ...oduction_to_applying_machine_learning/ensemble_modeling/EnsembleLearnerCensusIncome.ipynb
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Expand Up @@ -68,9 +68,9 @@
"import boto3\n",
"import time\n",
"import re\n",
"from sagemaker import get_execution_role\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)\n",
"role = get_execution_role()\n",
"\n",
"# Now let's define the S3 bucket we'll used for the remainder of this example.\n",
"\n",
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6 changes: 3 additions & 3 deletions ...o_applying_machine_learning/linear_time_series_forecast/linear_time_series_forecast.ipynb
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Expand Up @@ -61,9 +61,9 @@
"# Define IAM role\n",
"import boto3\n",
"import re\n",
" \n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)"
"from sagemaker import get_execution_role\n",
"\n",
"role = get_execution_role()"
]
},
{
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4 changes: 2 additions & 2 deletions ...oduction_to_applying_machine_learning/xgboost_customer_churn/xgboost_customer_churn.ipynb
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Expand Up @@ -59,9 +59,9 @@
"# Define IAM role\n",
"import boto3\n",
"import re\n",
"from sagemaker import get_execution_role\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)"
"role = get_execution_role()"
]
},
{
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4 changes: 2 additions & 2 deletions ...plying_machine_learning/xgboost_direct_marketing/xgboost_direct_marketing_sagemaker.ipynb
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Expand Up @@ -63,9 +63,9 @@
"# Define IAM role\n",
"import boto3\n",
"import re\n",
"from sagemaker import get_execution_role\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)"
"role = get_execution_role()"
]
},
{
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7 changes: 4 additions & 3 deletions scientific_details_of_algorithms/lda_topic_modeling/LDA-Science.ipynb
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Expand Up @@ -99,12 +99,13 @@
},
"outputs": [],
"source": [
"from sagemaker import get_execution_role\n",
"\n",
"role = get_execution_role()\n",
"\n",
"bucket = '<your_s3_bucket_name_here>'\n",
"prefix = 'sagemaker/lda_science'\n",
"\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)\n",
"\n",
"\n",
"print('Training input/output will be stored in {}/{}'.format(bucket, prefix))\n",
"print('\\nIAM Role: {}'.format(role))"
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5 changes: 3 additions & 2 deletions under_development/mxnet_mnist_byom/mxnet_mnist.ipynb
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Expand Up @@ -66,8 +66,9 @@
"outputs": [],
"source": [
"import boto3, re\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)"
"from sagemaker import get_execution_role\n",
"\n",
"role = get_execution_role()"
]
},
{
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5 changes: 3 additions & 2 deletions under_development/tensorflow_iris_byom/tensorflow_BYOM_iris.ipynb
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Expand Up @@ -48,8 +48,9 @@
"outputs": [],
"source": [
"import boto3, re\n",
"assumed_role = boto3.client('sts').get_caller_identity()['Arn']\n",
"role = re.sub(r'^(.+)sts::(\\d+):assumed-role/(.+?)/.*$', r'\\1iam::\\2:role/\\3', assumed_role)"
"from sagemaker import get_execution_role\n",
"\n",
"role = get_execution_role()"
]
},
{
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