Upgrade to sklean-1.5 (#3303)

Azure · Jul 23, 2024 · 7060507 · 7060507
1 parent cf060c0
commit 7060507
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Showing 4 changed files with 4 additions and 4 deletions.
diff --git a/sdk/python/assets/component/train.yml b/sdk/python/assets/component/train.yml
@@ -24,7 +24,7 @@ outputs:
   model_output:
     type: uri_folder
 code: ./train_src
-environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
+environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest
 command: >-
   python train.py 
   --training_data ${{inputs.training_data}} 

diff --git a/sdk/python/jobs/pipelines/1g_pipeline_with_parallel_nodes/src/prepare_data.yml b/sdk/python/jobs/pipelines/1g_pipeline_with_parallel_nodes/src/prepare_data.yml
@@ -18,7 +18,7 @@ outputs:
 
 code: ./
 
-environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
+environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest
 
 command: >-
   python prepare_data.py

diff --git a/tutorials/azureml-getting-started/azureml-getting-started-studio.ipynb b/tutorials/azureml-getting-started/azureml-getting-started-studio.ipynb
@@ -78,7 +78,7 @@
     "### 3. Create a job environment\n",
     "To run an Azure Machine Learning training job, you'll need an environment.\n",
     "\n",
-    "In this tutorial, you'll using a ready-made environment called `AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest` that contains all required libraries (python, MLflow, numpy, pip, etc). "
+    "In this tutorial, you'll using a ready-made environment called `AzureML-sklearn-1.5` that contains all required libraries (python, MLflow, numpy, pip, etc). "
    ]
   },
   {

diff --git a/tutorials/e2e-distributed-pytorch-image/e2e-object-classification-distributed-pytorch.ipynb b/tutorials/e2e-distributed-pytorch-image/e2e-object-classification-distributed-pytorch.ipynb
@@ -325,7 +325,7 @@
     "        ),\n",
     "    },\n",
     "    # we're using a curated environment\n",
-    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest\",\n",
+    "    environment=\"azureml://registries/azureml/environments/sklearn-1.5/labels/latest\",\n",
     "    compute=\"cpu-cluster-lg\",\n",
     ")\n",
     "\n",