0. Configuration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Configuration Azure ML service"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src='https://cdn.thenewstack.io/media/2018/10/2e4f0988-az-ml-0.png'>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Infos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3.6.2 |Anaconda, Inc.| (default, Sep 30 2017, 18:42:57) \\n[GCC 7.2.0]'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys\n",
    "sys.version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Date : 2019-10-28 13:49:36.642035\n"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "maintenant = datetime.datetime.now()\n",
    "print('Date :', maintenant)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Installation librairie AzureML service\n",
    "\n",
    "Release notes Azure ML service : https://docs.microsoft.com/en-us/azure/machine-learning/service/azure-machine-learning-release-notes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pour installer la première fois (supprimer le # si besoin)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install azureml-sdk"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Redémarrer ensuite le kernel Jupyter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pour mettre à jour Azure ML service"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install --upgrade azureml-sdk"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Penser à mettre à jour les extras et ensuite à relancer le kernel Jupyter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install --upgrade azureml-sdk[automl,notebooks,explain,contrib,services,tensorboard]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Version Azure ML service installée"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Version Azure ML service : 1.0.69\n"
     ]
    }
   ],
   "source": [
    "import azureml.core\n",
    "print(\"Version Azure ML service :\", azureml.core.VERSION)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Connexion workspace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "subscription_id = os.environ.get(\"SUBSCRIPTION_ID\", \"A Renseigner\")\n",
    "resource_group = os.environ.get(\"RESOURCE_GROUP\", \"azuremlserviceresourcegroup\")\n",
    "workspace_name = os.environ.get(\"WORKSPACE_NAME\", \"azuremlservice\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Le workspace Azure ML service a été trouvé : OK\n"
     ]
    }
   ],
   "source": [
    "from azureml.core import Workspace\n",
    "\n",
    "try:\n",
    "   ws = Workspace(subscription_id = subscription_id, resource_group = resource_group, workspace_name = workspace_name)\n",
    "   ws.write_config()\n",
    "   print(\"Le workspace Azure ML service a été trouvé : OK\")\n",
    "except:\n",
    "   print(\"Le workspace Azure ML service n'a pas été trouvé\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Workspace name: azuremlservice\n",
      "Azure region: westeurope\n",
      "Resource group: azuremlserviceresourcegroup\n"
     ]
    }
   ],
   "source": [
    "# workspace\n",
    "ws = Workspace.from_config()\n",
    "print('Workspace name: ' + ws.name, \n",
    "      'Azure region: ' + ws.location, \n",
    "      'Resource group: ' + ws.resource_group, sep='\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'applicationInsights': '/subscriptions/70b8f39e-8863-49f7-b6ba-34a80799550c/resourcegroups/azuremlserviceresourcegroup/providers/microsoft.insights/components/azuremlservice6148518173',\n",
       " 'containerRegistry': '/subscriptions/70b8f39e-8863-49f7-b6ba-34a80799550c/resourcegroups/azuremlserviceresourcegroup/providers/microsoft.containerregistry/registries/azuremlservice8791701193',\n",
       " 'creationTime': '2019-03-27T16:29:47.5576428+00:00',\n",
       " 'description': '',\n",
       " 'friendlyName': '',\n",
       " 'id': '/subscriptions/70b8f39e-8863-49f7-b6ba-34a80799550c/resourceGroups/azuremlserviceresourcegroup/providers/Microsoft.MachineLearningServices/workspaces/azuremlservice',\n",
       " 'identityPrincipalId': '26c48b54-b205-44fd-8948-fecfb4131ba9',\n",
       " 'identityTenantId': '72f988bf-86f1-41af-91ab-2d7cd011db47',\n",
       " 'identityType': 'SystemAssigned',\n",
       " 'keyVault': '/subscriptions/70b8f39e-8863-49f7-b6ba-34a80799550c/resourcegroups/azuremlserviceresourcegroup/providers/microsoft.keyvault/vaults/azuremlservice7711339503',\n",
       " 'location': 'westeurope',\n",
       " 'name': 'azuremlservice',\n",
       " 'storageAccount': '/subscriptions/70b8f39e-8863-49f7-b6ba-34a80799550c/resourcegroups/azuremlserviceresourcegroup/providers/microsoft.storage/storageaccounts/azuremlservice8628362969',\n",
       " 'tags': {'Cost Center': 'Internal Azure Cost Center', 'market': 'Serge'},\n",
       " 'type': 'Microsoft.MachineLearningServices/workspaces',\n",
       " 'workspaceid': 'b7a492c5-1d27-4c35-99bf-ef22bdee0fbb'}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from azureml.core.workspace import Workspace\n",
    "ws = Workspace.from_config()\n",
    "ws.get_details()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import logging\n",
    "import os\n",
    "import random\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib.pyplot import imshow\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn import datasets\n",
    "\n",
    "import azureml.core\n",
    "from azureml.core.experiment import Experiment\n",
    "from azureml.core.workspace import Workspace\n",
    "from azureml.train.automl import AutoMLConfig\n",
    "from azureml.train.automl.run import AutoMLRun"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Création expérimentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Version Azure ML service :</th>\n",
       "      <td>1.0.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nom du workspace :</th>\n",
       "      <td>azuremlservice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ressource groupe :</th>\n",
       "      <td>azuremlserviceresourcegroup</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Localisation :</th>\n",
       "      <td>westeurope</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Répertoire projet :</th>\n",
       "      <td>./sampleprojects/test</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nom expérience :</th>\n",
       "      <td>workshoptest</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                        \n",
       "Version Azure ML service :   1.0.69                     \n",
       "Nom du workspace :           azuremlservice             \n",
       "Ressource groupe :           azuremlserviceresourcegroup\n",
       "Localisation :               westeurope                 \n",
       "Répertoire projet :          ./sampleprojects/test      \n",
       "Nom expérience :             workshoptest               "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ws = Workspace.from_config()\n",
    "\n",
    "# Nom de l'expérimentation Azure ML service\n",
    "experiment_name = 'workshoptest'\n",
    "\n",
    "project_folder = './sampleprojects/test'\n",
    "\n",
    "experiment = Experiment(ws, experiment_name)\n",
    "\n",
    "output = {}\n",
    "output['Version Azure ML service : '] = azureml.core.VERSION\n",
    "output['Nom du workspace : '] = ws.name\n",
    "output['Ressource groupe : '] = ws.resource_group\n",
    "output['Localisation : '] = ws.location\n",
    "output['Répertoire projet : '] = project_folder\n",
    "output['Nom expérience : '] = experiment.name\n",
    "pd.set_option('display.max_colwidth', -1)\n",
    "pd.DataFrame(data = output, index = ['']).T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Landing Page Azure ML service"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://ml.azure.com/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://github.com/retkowsky/images/blob/master/LandingPage.jpg?raw=true\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Documentation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Documentation :<br> https://docs.microsoft.com/en-us/azure/machine-learning/\n",
    "\n",
    "- Nouveautés versions Azure ML service: <br>\n",
    "https://docs.microsoft.com/en-us/azure/machine-learning/service/azure-machine-learning-release-notes?view=azure-ml-py\n",
    "\n",
    "- What is Azure ML service SDK?<br>\n",
    "https://docs.microsoft.com/en-us/python/api/overview/azure/ml/intro?view=azure-ml-py\n",
    "\n",
    "- Azure ML service CLI<br>\n",
    "https://docs.microsoft.com/en-us/cli/azure/ext/azure-cli-ml/ml?view=azure-cli-latest\n",
    "\n",
    "- Azure ML Visual Interface<br>\n",
    "Algorithm & module reference overview<br>\n",
    "https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/module-reference\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Fin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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