Merge pull request aws#164 from awslabs/arpin_demo_naming

Arpin demo naming

Author: djarpin

advanced_functionality/data_distribution_types/data_distribution_types.ipynb

@@ -49,7 +49,7 @@
    "source": [
     "# S3 bucket and prefix\n",
     "bucket = '<your_s3_bucket_name_here>'\n",
-    "prefix = 'sagemaker/data_distribution_types'\n",
+    "prefix = 'sagemaker/DEMO-data-distribution-types'\n",
     "\n",
     "# Define IAM role\n",
     "import boto3\n",
@@ -327,7 +327,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "sharded_job = 'linear-sharded-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
+    "sharded_job = 'DEMO-linear-sharded-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
     "\n",
     "print(\"Job name is:\", sharded_job)\n",
     "\n",
@@ -342,7 +342,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "replicated_job = 'linear-replicated-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
+    "replicated_job = 'DEMO-linear-replicated-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
     "\n",
     "print(\"Job name is:\", replicated_job)\n",
     "\n",
@@ -512,7 +512,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "sharded_endpoint_config = 'sharded-endpoint-config-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
+    "sharded_endpoint_config = 'DEMO-sharded-endpoint-config-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
     "print(sharded_endpoint_config)\n",
     "sharded_endpoint_config_response = sm.create_endpoint_config(\n",
     "    EndpointConfigName=sharded_endpoint_config,\n",
@@ -531,7 +531,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "replicated_endpoint_config = 'replicated-endpoint-config-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
+    "replicated_endpoint_config = 'DEMO-replicated-endpoint-config-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
     "print(replicated_endpoint_config)\n",
     "replicated_endpoint_config_response = sm.create_endpoint_config(\n",
     "    EndpointConfigName=replicated_endpoint_config,\n",
@@ -559,14 +559,14 @@
    "source": [
     "%%time\n",
     "\n",
-    "sharded_endpoint = 'sharded-endpoint-' + time.strftime(\"%Y%m%d%H%M\", time.gmtime())\n",
+    "sharded_endpoint = 'DEMO-sharded-endpoint-' + time.strftime(\"%Y%m%d%H%M\", time.gmtime())\n",
     "print(sharded_endpoint)\n",
     "sharded_endpoint_response = sm.create_endpoint(\n",
     "    EndpointName=sharded_endpoint,\n",
     "    EndpointConfigName=sharded_endpoint_config)\n",
     "print(sharded_endpoint_response['EndpointArn'])\n",
     "\n",
-    "replicated_endpoint = 'replicated-endpoint-' + time.strftime(\"%Y%m%d%H%M\", time.gmtime())\n",
+    "replicated_endpoint = 'DEMO-replicated-endpoint-' + time.strftime(\"%Y%m%d%H%M\", time.gmtime())\n",
     "print(replicated_endpoint)\n",
     "replicated_endpoint_response = sm.create_endpoint(\n",
     "    EndpointName=replicated_endpoint,\n",

advanced_functionality/handling_kms_encrypted_data/handling_kms_encrypted_data.ipynb

@@ -71,7 +71,7 @@
     "kms_key_id = '<your-kms-key-id>'\n",
     "\n",
     "bucket='<s3-bucket>' # put your s3 bucket name here, and create s3 bucket\n",
-    "prefix = 'sagemaker/kms'\n",
+    "prefix = 'sagemaker/DEMO-kms'\n",
     "# customize to your bucket where you have stored the data\n",
     "bucket_path = 'https://s3-{}.amazonaws.com/{}'.format(region,bucket)"
    ]
@@ -241,7 +241,7 @@
     "from time import gmtime, strftime\n",
     "import time\n",
     "\n",
-    "job_name = 'xgboost-single-regression' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
+    "job_name = 'DEMO-xgboost-single-regression' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
     "print(\"Training job\", job_name)\n",
     "\n",
     "create_training_params = \\\n",
@@ -376,7 +376,7 @@
    "source": [
     "from time import gmtime, strftime\n",
     "\n",
-    "endpoint_config_name = 'XGBoostEndpointConfig-' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
+    "endpoint_config_name = 'DEMO-XGBoostEndpointConfig-' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
     "print(endpoint_config_name)\n",
     "create_endpoint_config_response = client.create_endpoint_config(\n",
     "    EndpointConfigName = endpoint_config_name,\n",
@@ -407,7 +407,7 @@
     "%%time\n",
     "import time\n",
     "\n",
-    "endpoint_name = 'XGBoostEndpoint-new-' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
+    "endpoint_name = 'DEMO-XGBoostEndpoint-' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
     "print(endpoint_name)\n",
     "create_endpoint_response = client.create_endpoint(\n",
     "    EndpointName=endpoint_name,\n",

advanced_functionality/kmeans_bring_your_own_model/kmeans_bring_your_own_model.ipynb

@@ -50,7 +50,7 @@
    "outputs": [],
    "source": [
     "bucket = '<your_s3_bucket_name_here>'\n",
-    "prefix = 'sagemaker/kmeans_byom'\n",
+    "prefix = 'sagemaker/DEMO-kmeans-byom'\n",
     " \n",
     "# Define IAM role\n",
     "import boto3\n",
@@ -199,7 +199,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "kmeans_model = 'kmeans-scikit-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
+    "kmeans_model = 'DEMO-kmeans-byom-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
     "\n",
     "sm = boto3.client('sagemaker')\n",
     "\n",
@@ -231,7 +231,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "kmeans_endpoint_config = 'kmeans-poc-endpoint-config-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
+    "kmeans_endpoint_config = 'DEMO-kmeans-byom-endpoint-config-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
     "print(kmeans_endpoint_config)\n",
     "create_endpoint_config_response = sm.create_endpoint_config(\n",
     "    EndpointConfigName=kmeans_endpoint_config,\n",
@@ -259,7 +259,7 @@
    "source": [
     "%%time\n",
     "\n",
-    "kmeans_endpoint = 'kmeans-poc-endpoint-' + time.strftime(\"%Y%m%d%H%M\", time.gmtime())\n",
+    "kmeans_endpoint = 'DEMO-kmeans-byom-endpoint-' + time.strftime(\"%Y%m%d%H%M\", time.gmtime())\n",
     "print(kmeans_endpoint)\n",
     "create_endpoint_response = sm.create_endpoint(\n",
     "    EndpointName=kmeans_endpoint,\n",

advanced_functionality/parquet_to_recordio_protobuf/parquet_to_recordio_protobuf.ipynb

@@ -45,7 +45,7 @@
     "role = get_execution_role()\n",
     "\n",
     "bucket = '<S3 bucket>'\n",
-    "prefix = 'sagemaker/parquet'"
+    "prefix = 'sagemaker/DEMO-parquet'"
    ]
   },
   {
@@ -250,7 +250,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "linear_job = 'linear-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
+    "linear_job = 'DEMO-linear-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
     "\n",
     "print(\"Job name is:\", linear_job)\n",
     "\n",

advanced_functionality/r_bring_your_own/r_bring_your_own.ipynb

@@ -51,7 +51,7 @@
    "outputs": [],
    "source": [
     "bucket = '<your_s3_bucket_name_here>'\n",
-    "prefix = 'sagemaker/r_byo'\n",
+    "prefix = 'sagemaker/DEMO-r-byo'\n",
     " \n",
     "# Define IAM role\n",
     "import boto3\n",
@@ -413,7 +413,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "r_job = 'r-byo-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
+    "r_job = 'DEMO-r-byo-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
     "\n",
     "print(\"Training job\", r_job)\n",
     "\n",
@@ -527,7 +527,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "r_endpoint_config = 'r-endpoint-config-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
+    "r_endpoint_config = 'DEMO-r-byo-config-' + time.strftime(\"%Y-%m-%d-%H-%M-%S\", time.gmtime())\n",
     "print(r_endpoint_config)\n",
     "create_endpoint_config_response = sm.create_endpoint_config(\n",
     "    EndpointConfigName=r_endpoint_config,\n",
@@ -555,7 +555,7 @@
    "source": [
     "%%time\n",
     "\n",
-    "r_endpoint = 'r-endpoint-' + time.strftime(\"%Y%m%d%H%M\", time.gmtime())\n",
+    "r_endpoint = 'DEMO-r-endpoint-' + time.strftime(\"%Y%m%d%H%M\", time.gmtime())\n",
     "print(r_endpoint)\n",
     "create_endpoint_response = sm.create_endpoint(\n",
     "    EndpointName=r_endpoint,\n",

advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.ipynb

@@ -322,7 +322,7 @@
    "outputs": [],
    "source": [
     "# S3 prefix\n",
-    "prefix = 'scikit-byo-iris'\n",
+    "prefix = 'DEMO-scikit-byo-iris'\n",
     "\n",
     "# Define IAM role\n",
     "import boto3\n",

advanced_functionality/working_with_redshift_data/working_with_redshift_data.ipynb

@@ -59,7 +59,7 @@
     "region = boto3.Session().region_name\n",
     "\n",
     "bucket='<your_s3_bucket_name_here>' # put your s3 bucket name here, and create s3 bucket\n",
-    "prefix = 'sagemaker/redshift'\n",
+    "prefix = 'sagemaker/DEMO-redshift'\n",
     "# customize to your bucket where you have stored the data\n",
     "\n",
     "credfile = 'redshift_creds_template.json.nogit'"

advanced_functionality/xgboost_bring_your_own_model/xgboost_bring_your_own_model.ipynb

@@ -62,7 +62,7 @@
     "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",
+    "prefix = 'sagemaker/DEMO-xgboost-byo'\n",
     "bucket_path = 'https://s3-{}.amazonaws.com/{}'.format(region,bucket)\n",
     "# customize to your bucket where you have stored the data"
    ]
@@ -208,7 +208,7 @@
    },
    "outputs": [],
    "source": [
-    "model_file_name = \"locally-trained-xgboost-model\"\n",
+    "model_file_name = \"DEMO-local-xgboost-model\"\n",
     "bt._Booster.save_model(model_file_name)"
    ]
   },
@@ -317,7 +317,7 @@
    "source": [
     "from time import gmtime, strftime\n",
     "\n",
-    "endpoint_config_name = 'XGBoostEndpointConfig-' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
+    "endpoint_config_name = 'DEMO-XGBoostEndpointConfig-' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
     "print(endpoint_config_name)\n",
     "create_endpoint_config_response = sm_client.create_endpoint_config(\n",
     "    EndpointConfigName = endpoint_config_name,\n",
@@ -350,7 +350,7 @@
     "%%time\n",
     "import time\n",
     "\n",
-    "endpoint_name = 'XGBoostEndpoint-' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
+    "endpoint_name = 'DEMO-XGBoostEndpoint-' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
     "print(endpoint_name)\n",
     "create_endpoint_response = sm_client.create_endpoint(\n",
     "    EndpointName=endpoint_name,\n",

introduction_to_amazon_algorithms/deepar_synthetic/deepar_synthetic.ipynb

@@ -77,7 +77,7 @@
    "outputs": [],
    "source": [
     "bucket = '<your_s3_bucket_name_here>'\n",
-    "prefix = 'sagemaker/deepar-demo'\n",
+    "prefix = 'sagemaker/DEMO-deepar'\n",
     "\n",
     "sagemaker_session = sagemaker.Session()\n",
     "role = get_execution_role()\n",
@@ -323,7 +323,7 @@
     "    role=role,\n",
     "    train_instance_count=1,\n",
     "    train_instance_type='ml.c4.xlarge',\n",
-    "    base_job_name='deepar-demo',\n",
+    "    base_job_name='DEMO-deepar',\n",
     "    output_path=\"s3://\" + s3_output_path\n",
     ")"
    ]

introduction_to_amazon_algorithms/factorization_machines_mnist/factorization_machines_mnist.ipynb

@@ -61,7 +61,7 @@
    "outputs": [],
    "source": [
     "bucket = '<your_s3_bucket_name_here>'\n",
-    "prefix = 'sagemaker/fm-mnist'\n",
+    "prefix = 'sagemaker/DEMO-fm-mnist'\n",
     " \n",
     "# Define IAM role\n",
     "import boto3\n",

introduction_to_amazon_algorithms/imageclassification_caltech/Image-classification-fulltraining.ipynb

@@ -182,7 +182,7 @@
     "\n",
     "s3 = boto3.client('s3')\n",
     "# create unique job name \n",
-    "job_name_prefix = 'sagemaker-imageclassification-notebook'\n",
+    "job_name_prefix = 'DEMO-imageclassification'\n",
     "timestamp = time.strftime('-%Y-%m-%d-%H-%M-%S', time.gmtime())\n",
     "job_name = job_name_prefix + timestamp\n",
     "training_params = \\\n",
@@ -344,7 +344,7 @@
     "\n",
     "sage = boto3.Session().client(service_name='sagemaker') \n",
     "\n",
-    "model_name=\"test-image-classification-model\"\n",
+    "model_name=\"DEMO-full-image-classification-model\"\n",
     "print(model_name)\n",
     "info = sage.describe_training_job(TrainingJobName=job_name)\n",
     "model_data = info['ModelArtifacts']['S3ModelArtifacts']\n",

introduction_to_amazon_algorithms/imageclassification_caltech/Image-classification-transfer-learning.ipynb

@@ -198,7 +198,7 @@
     "\n",
     "s3 = boto3.client('s3')\n",
     "# create unique job name \n",
-    "job_name_prefix = 'sagemaker-imageclassification-notebook'\n",
+    "job_name_prefix = 'DEMO-imageclassification'\n",
     "timestamp = time.strftime('-%Y-%m-%d-%H-%M-%S', time.gmtime())\n",
     "job_name = job_name_prefix + timestamp\n",
     "training_params = \\\n",
@@ -361,7 +361,7 @@
     "\n",
     "sage = boto3.Session().client(service_name='sagemaker') \n",
     "\n",
-    "model_name=\"test-image-classification-model\"\n",
+    "model_name=\"DEMO-image-classification-model\"\n",
     "print(model_name)\n",
     "info = sage.describe_training_job(TrainingJobName=job_name)\n",
     "model_data = info['ModelArtifacts']['S3ModelArtifacts']\n",

introduction_to_amazon_algorithms/lda_topic_modeling/LDA-Introduction.ipynb

@@ -123,7 +123,7 @@
     "\n",
     "role = get_execution_role()\n",
     "bucket = '<your_s3_bucket_name_here>'\n",
-    "prefix = 'sagemaker/lda_introduction'\n",
+    "prefix = 'sagemaker/DEMO-lda-introduction'\n",
     "\n",
     "print('Training input/output will be stored in {}/{}'.format(bucket, prefix))\n",
     "print('\\nIAM Role: {}'.format(role))"

introduction_to_amazon_algorithms/linear_learner_mnist/linear_learner_mnist.ipynb

@@ -59,7 +59,7 @@
    "outputs": [],
    "source": [
     "bucket = '<your_s3_bucket_name_here>'\n",
-    "prefix = 'sagemaker/linear-mnist'\n",
+    "prefix = 'sagemaker/DEMO-linear-mnist'\n",
     " \n",
     "# Define IAM role\n",
     "import boto3\n",

introduction_to_amazon_algorithms/ntm_synthetic/ntm_synthetic.ipynb

@@ -62,7 +62,7 @@
    "outputs": [],
    "source": [
     "bucket = '<your_s3_bucket_name_here>'\n",
-    "prefix = 'sagemaker/ntm_synthetic'\n",
+    "prefix = 'sagemaker/DEMO-ntm-synthetic'\n",
     " \n",
     "# Define IAM role\n",
     "import boto3\n",

introduction_to_amazon_algorithms/pca_mnist/pca_mnist.ipynb

@@ -63,7 +63,7 @@
    "outputs": [],
    "source": [
     "bucket = '<your_s3_bucket_name_here>'\n",
-    "prefix = 'sagemaker/pca-mnist'\n",
+    "prefix = 'sagemaker/DEMO-pca-mnist'\n",
     " \n",
     "# Define IAM role\n",
     "import boto3\n",

introduction_to_amazon_algorithms/seq2seq_translation_en-de/SageMaker-Seq2Seq-Translation-English-German.ipynb

@@ -48,7 +48,7 @@
    "source": [
     "# S3 bucket and prefix\n",
     "bucket = '<your_s3_bucket_name_here>'\n",
-    "prefix = 'sagemaker/<your_s3_prefix_here>'  # E.g.'sagemaker/seq2seq/eng-german'"
+    "prefix = 'sagemaker/DEMO-seq2seq'"
    ]
   },
   {
@@ -262,7 +262,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "job_name = 'seq2seq-en-de-p2-xlarge-' + strftime(\"%Y-%m-%d-%H\", gmtime())\n",
+    "job_name = 'DEMO-seq2seq-en-de-' + strftime(\"%Y-%m-%d-%H\", gmtime())\n",
     "print(\"Training job\", job_name)\n",
     "\n",
     "create_training_params = \\\n",
@@ -415,7 +415,7 @@
    "outputs": [],
    "source": [
     "# use_pretrained_model = True\n",
-    "# model_name = \"pretrained-en-de-model\"\n",
+    "# model_name = \"DEMO-pretrained-en-de-model\"\n",
     "# !curl https://s3-us-west-2.amazonaws.com/gsaur-seq2seq-data/seq2seq/eng-german/full-nb-translation-eng-german-p2-16x-2017-11-24-22-25-53/output/model.tar.gz > model.tar.gz\n",
     "# !curl https://s3-us-west-2.amazonaws.com/gsaur-seq2seq-data/seq2seq/eng-german/full-nb-translation-eng-german-p2-16x-2017-11-24-22-25-53/output/vocab.src.json > vocab.src.json\n",
     "# !curl https://s3-us-west-2.amazonaws.com/gsaur-seq2seq-data/seq2seq/eng-german/full-nb-translation-eng-german-p2-16x-2017-11-24-22-25-53/output/vocab.trg.json > vocab.trg.json\n",
@@ -472,7 +472,7 @@
    "source": [
     "from time import gmtime, strftime\n",
     "\n",
-    "endpoint_config_name = 'Seq2SeqEndpointConfig-' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
+    "endpoint_config_name = 'DEMO-Seq2SeqEndpointConfig-' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
     "print(endpoint_config_name)\n",
     "create_endpoint_config_response = sage.create_endpoint_config(\n",
     "    EndpointConfigName = endpoint_config_name,\n",
@@ -502,7 +502,7 @@
     "%%time\n",
     "import time\n",
     "\n",
-    "endpoint_name = 'Seq2SeqEndpoint-' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
+    "endpoint_name = 'DEMO-Seq2SeqEndpoint-' + strftime(\"%Y-%m-%d-%H-%M-%S\", gmtime())\n",
     "print(endpoint_name)\n",
     "create_endpoint_response = sage.create_endpoint(\n",
     "    EndpointName=endpoint_name,\n",