Upgrade to sklearn-1.5 (#3293)

sdk/python/jobs/single-step/pytorch/iris/pytorch-iris.ipynb

@@ -119,7 +119,7 @@
     "        \"epochs\": 10,\n",
     "        \"lr\": 0.1,\n",
     "    },\n",
-    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest\",\n",
+    "    environment=\"AzureML-sklearn-1.5@latest\",\n",
     "    display_name=\"pytorch-iris-example\",\n",
     "    description=\"Train a neural network with PyTorch on the Iris dataset.\",\n",
     ")"

sdk/python/jobs/single-step/scikit-learn/diabetes/sklearn-diabetes.ipynb

@@ -163,7 +163,7 @@
     "            path=\"https://azuremlexamples.blob.core.windows.net/datasets/diabetes.csv\",\n",
     "        )\n",
     "    },\n",
-    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest\",\n",    
+    "    environment=\"AzureML-sklearn-1.5@latest\",\n",
     "    display_name=\"sklearn-diabetes-example\",\n",
     "    # description,\n",
     "    # experiment_name\n",

sdk/python/jobs/single-step/scikit-learn/iris/iris-scikit-learn.ipynb

@@ -177,7 +177,7 @@
     "        # }\n",
     "        # ) # uncomment add SSH Public Key to access job container via SSH\n",
     "    },\n",
-    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest\",\n",    
+    "    environment=\"AzureML-sklearn-1.5@latest\",\n",
     "    display_name=\"sklearn-iris-example\",\n",
     "    # experiment_name\n",
     "    # description\n",

sdk/python/jobs/single-step/scikit-learn/mnist/sklearn-mnist.ipynb

@@ -128,7 +128,7 @@
     "    code=\"./src\",  # local path where the code is stored\n",
     "    command=\"pip install -r requirements.txt && python main.py --C ${{inputs.C}} --penalty ${{inputs.penalty}}\",\n",
     "    inputs={\"C\": 0.8, \"penalty\": \"l2\"},\n",
-    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest\",\n",    
+    "    environment=\"AzureML-sklearn-1.5@latest\",\n",
     "    display_name=\"sklearn-mnist-example\"\n",
     "    # experiment_name: sklearn-mnist-example\n",
     "    # description: Train a scikit-learn LogisticRegression model on the MNSIT dataset.\n",