fix data save bug

Author: madiepev

Labs/03/setup.sh

@@ -1,11 +1,28 @@
 #! /usr/bin/sh
 
-# Create workspace
-echo "Create a resource group:"
-az group create --name "rg-dp100-labs" --location "eastus"
+# Set the necessary variables
+RESOURCE_GROUP="rg-dp100-labs"
+RESOURCE_PROVIDER="Microsoft.MachineLearning"
+REGIONS=("eastus" "westus" "centralus" "northeurope" "westeurope" "southeastasia")
+RANDOM_REGION=${REGIONS[$RANDOM % ${#REGIONS[@]}]}
+WORKSPACE_NAME="mlw-dp100-labs"
+
+# Register the Azure Machine Learning resource provider in the subscription
+echo "Register the Machine Learning resource provider:"
+az provider register --namespace $RESOURCE_PROVIDER
+
+# Delete the resource group if it already exists to avoid clashes
+echo "Delete the resource group" $RESOURCE_GROUP "to avoid clashes:"
+az group delete --name $RESOURCE_GROUP
+
+# Create the resource group and workspace and set to default
+echo "Create a resource group and set as default:"
+az group create --name $RESOURCE_GROUP --location $RANDOM_REGION
+az configure --defaults group=$RESOURCE_GROUP
 
 echo "Create an Azure Machine Learning workspace:"
-az ml workspace create --name "mlw-dp100-labs" -g "rg-dp100-labs"
+az ml workspace create --name $WORKSPACE_NAME 
+az configure --defaults workspace=$WORKSPACE_NAME 
 
 # Create compute instance
 guid=$(cat /proc/sys/kernel/random/uuid)
@@ -15,8 +32,8 @@ suffix=${suffix:0:18}
 ComputeName="ci${suffix}"
 
 echo "Creating a compute instance with name: " $ComputeName
-az ml compute create --name ${ComputeName} --size STANDARD_DS11_V2 --type ComputeInstance -w mlw-dp100-labs -g rg-dp100-labs
+az ml compute create --name ${ComputeName} --size STANDARD_DS11_V2 --type ComputeInstance 
 
 # Create compute cluster
 echo "Creating a compute cluster with name: aml-cluster"
-az ml compute create --name "aml-cluster" --size STANDARD_DS11_V2 --max-instances 2 --type AmlCompute -w mlw-dp100-labs -g rg-dp100-labs
+az ml compute create --name "aml-cluster" --size STANDARD_DS11_V2 --max-instances 2 --type AmlCompute 

Labs/09/Run a pipeline job.ipynb

@@ -36,13 +36,7 @@
       "source": [
         "## Connect to your workspace\n",
         "\n",
-        "With the required SDK packages installed, now you're ready to connect to your workspace.\n",
-        "\n",
-        "To connect to a workspace, we need identifier parameters - a subscription ID, resource group name, and workspace name. The resource group name and workspace name are already filled in for you. You only need the subscription ID to complete the command.\n",
-        "\n",
-        "To find the necessary parameters, click on the subscription and workspace name at the top right of the Studio. A pane will open on the right.\n",
-        "\n",
-        "<p style=\"color:red;font-size:120%;background-color:yellow;font-weight:bold\"> Copy the subscription ID and replace **YOUR-SUBSCRIPTION-ID** with the value you copied. </p>"
+        "With the required SDK packages installed, now you're ready to connect to your workspace."
       ]
     },
     {
@@ -58,10 +52,15 @@
       },
       "outputs": [],
       "source": [
-        "# enter details of your AML workspace\n",
-        "subscription_id = \"YOUR-SUBSCRIPTION-ID\"\n",
-        "resource_group = \"rg-dp100-labs\"\n",
-        "workspace = \"mlw-dp100-labs\""
+        "from azure.identity import DefaultAzureCredential, InteractiveBrowserCredential\n",
+        "\n",
+        "try:\n",
+        "    credential = DefaultAzureCredential()\n",
+        "    # Check if given credential can get token successfully.\n",
+        "    credential.get_token(\"https://management.azure.com/.default\")\n",
+        "except Exception as ex:\n",
+        "    # Fall back to InteractiveBrowserCredential in case DefaultAzureCredential not work\n",
+        "    credential = InteractiveBrowserCredential()"
       ]
     },
     {
@@ -75,12 +74,9 @@
       "outputs": [],
       "source": [
         "from azure.ai.ml import MLClient\n",
-        "from azure.identity import DefaultAzureCredential\n",
         "\n",
-        "# get a handle to the workspace\n",
-        "ml_client = MLClient(\n",
-        "    DefaultAzureCredential(), subscription_id, resource_group, workspace\n",
-        ")"
+        "# Get a handle to workspace\n",
+        "ml_client = MLClient.from_config(credential=credential)"
       ]
     },
     {
@@ -361,7 +357,7 @@
         "    type: uri_file\n",
         "outputs:\n",
         "  output_data:\n",
-        "    type: uri_file\n",
+        "    type: uri_folder\n",
         "code: ./src\n",
         "environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest\n",
         "command: >-\n",
@@ -388,7 +384,7 @@
         "type: command\n",
         "inputs:\n",
         "  training_data: \n",
-        "    type: uri_file\n",
+        "    type: uri_folder\n",
         "  reg_rate:\n",
         "    type: number\n",
         "    default: 0.01\n",

typings/__builtins__.pyi

@@ -0,0 +1,2 @@
+
+from databricks.sdk.runtime import *