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Update MLflow notebook #1267

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Dec 15, 2019
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Update MLflow notebook #1267

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38 changes: 11 additions & 27 deletions examples/models/mlflow_server_ab_test_ambassador/mlflow_server_ab_test_ambassador.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -31,10 +31,7 @@
},
{
"cell_type": "markdown",
"metadata": {
"toc-hr-collapsed": true,
"toc-nb-collapsed": true
},
"metadata": {},
"source": [
"## Dependencies\n",
"\n",
Expand All @@ -46,7 +43,8 @@
"* kubectl v1.14+\n",
"* Python 3.6+\n",
"* MLFlow 1.1.0\n",
"* pygmentize\n",
"* [pygmentize](https://pygments.org/docs/cmdline/)\n",
"* [tree](http://mama.indstate.edu/users/ice/tree/)\n",
"\n",
"We will also take this chance to load the Python dependencies we will use through the tutorial:"
]
Expand All @@ -64,20 +62,14 @@
},
{
"cell_type": "markdown",
"metadata": {
"toc-hr-collapsed": true,
"toc-nb-collapsed": true
},
"metadata": {},
"source": [
"#### Let's get started! 🚀🔥"
]
},
{
"cell_type": "markdown",
"metadata": {
"toc-hr-collapsed": true,
"toc-nb-collapsed": true
},
"metadata": {},
"source": [
"## 1. Train the first MLFlow Elastic Net Wine example\n",
"\n",
Expand Down Expand Up @@ -581,10 +573,7 @@
},
{
"cell_type": "markdown",
"metadata": {
"toc-hr-collapsed": true,
"toc-nb-collapsed": true
},
"metadata": {},
"source": [
"## 2. Deploy your model using the Pre-packaged Moldel Server for MLFlow\n",
"\n",
Expand Down Expand Up @@ -696,10 +685,7 @@
},
{
"cell_type": "markdown",
"metadata": {
"toc-hr-collapsed": true,
"toc-nb-collapsed": true
},
"metadata": {},
"source": [
"## 3. Test the deployed MLFlow model by sending requests\n",
"Now that our model is deployed in Kubernetes, we are able to send any requests."
Expand Down Expand Up @@ -796,7 +782,7 @@
"source": [
"!curl -X POST -H 'Content-Type: application/json' \\\n",
" -d \"{'data': {'names': [], 'ndarray': [[7.0, 0.27, 0.36, 20.7, 0.045, 45.0, 170.0, 1.001, 3.0, 0.45, 8.8]]}}\" \\\n",
" http://localhost:80/seldon/default/mlflow-deployment/api/v0.1/predictions"
" http://localhost:80/seldon/seldon/mlflow-deployment/api/v0.1/predictions"
]
},
{
Expand Down Expand Up @@ -846,6 +832,7 @@
"\n",
"sc = SeldonClient(\n",
" gateway=\"ambassador\", \n",
" namespace=\"seldon\",\n",
" gateway_endpoint=HOST + \":\" + port)\n",
"\n",
"client_prediction = sc.predict(\n",
Expand All @@ -859,10 +846,7 @@
},
{
"cell_type": "markdown",
"metadata": {
"toc-hr-collapsed": true,
"toc-nb-collapsed": true
},
"metadata": {},
"source": [
"## 4. Deploy your second model as an A/B test\n",
"\n",
Expand Down Expand Up @@ -1019,7 +1003,7 @@
"\n",
"For this we can access the URL with the command below, it will request an admin and password which by default are set to the following:\n",
"* Username: admin\n",
"* Password: admin\n",
"* Password: password\n",
"\n",
"You can access the grafana dashboard through the port provided below:"
]
Expand Down