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Small update #12

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228f585
Small update to Project.ipynb for the first part of the tutorial
May 5, 2020
8ee5a1d
Start on pytorch
May 5, 2020
7b2568f
Add endpoint and and update html
May 7, 2020
884bf75
Merge pull request #1 from benjaminlees/update/Project.ipynb
benjaminlees May 7, 2020
2e851eb
Update a unfilled question
May 7, 2020
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4 changes: 3 additions & 1 deletion .gitignore
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,8 @@ __pycache__/
# Distribution / packaging
.Python
env/
data/
cache/
build/
develop-eggs/
dist/
Expand Down Expand Up @@ -105,4 +107,4 @@ ENV/

# Notebook files
Sentiment Analysis/aclImdb_v1.tar.gz
Sentiment Analysis/aclImdb/
Sentiment Analysis/aclImdb/
79 changes: 69 additions & 10 deletions Mini-Projects/IMDB Sentiment Analysis - XGBoost (Updating a Model) - Solution.ipynb
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Original file line number Diff line number Diff line change
@@ -1,5 +1,19 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -433,9 +447,21 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {},
"outputs": [],
"outputs": [
{
"ename": "NameError",
"evalue": "name 'os' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-2-2738a4cc0740>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mprefix\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'sentiment-update'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mtest_location\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupload_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_dir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'test.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey_prefix\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mprefix\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0mval_location\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupload_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_dir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'validation.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey_prefix\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mprefix\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0mtrain_location\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupload_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_dir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'train.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey_prefix\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mprefix\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mNameError\u001b[0m: name 'os' is not defined"
]
}
],
"source": [
"import sagemaker\n",
"\n",
Expand Down Expand Up @@ -470,7 +496,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -483,9 +509,18 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING:root:There is a more up to date SageMaker XGBoost image. To use the newer image, please set 'repo_version'='0.90-1'. For example:\n",
"\tget_image_uri(region, 'xgboost', '0.90-1').\n"
]
}
],
"source": [
"# We need to retrieve the location of the container which is provided by Amazon for using XGBoost.\n",
"# As a matter of convenience, the training and inference code both use the same container.\n",
Expand All @@ -496,7 +531,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
Expand Down Expand Up @@ -531,9 +566,21 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"metadata": {},
"outputs": [],
"outputs": [
{
"ename": "NameError",
"evalue": "name 'train_location' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-6-44fb05642cfc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ms3_input_train\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msagemaker\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0ms3_input\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms3_data\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrain_location\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontent_type\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0ms3_input_validation\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msagemaker\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0ms3_input\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms3_data\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mval_location\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontent_type\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mNameError\u001b[0m: name 'train_location' is not defined"
]
}
],
"source": [
"s3_input_train = sagemaker.s3_input(s3_data=train_location, content_type='csv')\n",
"s3_input_validation = sagemaker.s3_input(s3_data=val_location, content_type='csv')"
Expand Down Expand Up @@ -561,9 +608,21 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"outputs": [
{
"ename": "NameError",
"evalue": "name 'xgb' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-1-6b6b431e93bb>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mxgb_transformer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mxgb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransformer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minstance_count\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minstance_type\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'ml.m4.xlarge'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mNameError\u001b[0m: name 'xgb' is not defined"
]
}
],
"source": [
"xgb_transformer = xgb.transformer(instance_count = 1, instance_type = 'ml.m4.xlarge')"
]
Expand Down
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