Upgrade to sklearn-1.5 from sklearn-1.1 (#3301)

cli/endpoints/online/managed/sample/blue-deployment-with-curated-env.yml

@@ -6,6 +6,6 @@ model:
 code_configuration:
   code: ../../model-1/onlinescoring/
   scoring_script: score.py
-environment: azureml://registries/azureml/environments/sklearn-1.1/versions/30
+environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest
 instance_type: Standard_DS3_v2
 instance_count: 1

cli/endpoints/online/managed/sample/green-deployment-with-curated-env.yml

@@ -6,6 +6,6 @@ model:
 code_configuration:
   code: ../../model-2/onlinescoring/
   scoring_script: score.py
-environment: azureml://registries/azureml/environments/sklearn-1.1/versions/30
+environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest
 instance_type: Standard_DS3_v2
 instance_count: 1

cli/jobs/pipelines-with-components/pipeline_with_pipeline_component/pipeline_with_train_eval_pipeline_component/components/compare2/compare2.yml

@@ -18,7 +18,7 @@ outputs:
     type: uri_folder
   best_result:
     type: uri_folder
-environment: azureml://registries/azureml/environments/sklearn-1.1/labels/latest
+environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest
 code: .
 command: >-
   python compare2.py 

cli/jobs/pipelines-with-components/pipeline_with_pipeline_component/pipeline_with_train_eval_pipeline_component/components/eval/eval.yml

@@ -10,7 +10,7 @@ inputs:
 outputs:
   eval_output:
     type: uri_folder
-environment: azureml://registries/azureml/environments/sklearn-1.1/labels/latest
+environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest
 code: .
 command: >-
   python eval.py 

cli/jobs/pipelines-with-components/pipeline_with_pipeline_component/pipeline_with_train_eval_pipeline_component/components/score/score.yml

@@ -13,7 +13,7 @@ inputs:
 outputs:
   score_output:
     type: uri_folder
-environment: azureml://registries/azureml/environments/sklearn-1.1/labels/latest
+environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest
 code: .
 command: >-
   python score.py 

cli/jobs/pipelines-with-components/pipeline_with_pipeline_component/pipeline_with_train_eval_pipeline_component/components/train/train.yml

@@ -19,7 +19,7 @@ outputs:
   model_output:
     type: uri_folder
 code: .
-environment: azureml://registries/azureml/environments/sklearn-1.1/labels/latest
+environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest
 command: >-
   python train.py 
   --training_data ${{inputs.training_data}} 

cli/jobs/pipelines/cifar-10/pipeline.yml

@@ -13,7 +13,7 @@ jobs:
       tar -xvzf cifar-10-python.tar.gz -C ${{outputs.cifar}};
       rm cifar-10-python.tar.gz;
     compute: azureml:gpu-cluster
-    environment: azureml://registries/azureml/environments/sklearn-1.1/labels/latest
+    environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest
     outputs:
       cifar:
         type: uri_folder

cli/jobs/pipelines/tensorflow-image-segmentation/pipeline.yml

@@ -28,7 +28,7 @@ jobs:
         type: uri_folder
         mode: upload
 
-    environment: azureml://registries/azureml/environments/sklearn-1.1/labels/latest
+    environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest
 
     compute: azureml:cpu-cluster
 

cli/jobs/single-step/scikit-learn/iris/job-sweep.yml

@@ -8,7 +8,7 @@ trial:
     --C ${{search_space.C}}
     --kernel ${{search_space.kernel}}
     --coef0 ${{search_space.coef0}}
-  environment: azureml:AzureML-sklearn-1.1@latest
+  environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest
 inputs:
   iris_csv: 
     type: uri_file

sdk/python/endpoints/online/llm/src/sk/skills/WriterSkill/spec.yml

@@ -12,4 +12,4 @@ tags:
 
 # Not really used, but required by the schema
 command: n/a
-environment: azureml://registries/azureml/environments/sklearn-1.1-ubuntu20.04-py38-cpu/versions/17
+environment: azureml://registries/azureml/environments/sklearn-1.5/labels/latest

sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-image-classification-multiclass-in-pipeline/automl-image-classification-multiclass-in-pipeline.ipynb

@@ -410,7 +410,7 @@
     "        command=\"python register.py \"\n",
     "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
     "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"azureml://registries/azureml/environments/sklearn-1.1/labels/latest\",\n",
+    "        environment=\"azureml://registries/azureml/environments/sklearn-1.5/labels/latest\",\n",
     "    )\n",
     "    register_model = command_func(\n",
     "        model_input_path=image_classification_node.outputs.best_model\n",

sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-image-classification-multilabel-in-pipeline/automl-image-classification-multilabel-in-pipeline.ipynb

@@ -416,7 +416,7 @@
     "        command=\"python register.py \"\n",
     "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
     "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"azureml://registries/azureml/environments/sklearn-1.1/labels/latest\",\n",
+    "        environment=\"azureml://registries/azureml/environments/sklearn-1.5/labels/latest\",\n",
     "    )\n",
     "    register_model = command_func(\n",
     "        model_input_path=image_classification_multilabel_node.outputs.best_model\n",

sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-image-instance-segmentation-in-pipeline/automl-image-instance-segmentation-in-pipeline.ipynb

@@ -373,7 +373,7 @@
     "        command=\"python register.py \"\n",
     "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
     "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"azureml://registries/azureml/environments/sklearn-1.1/labels/latest\",\n",
+    "        environment=\"azureml://registries/azureml/environments/sklearn-1.5/labels/latest\",\n",
     "    )\n",
     "    register_model = command_func(\n",
     "        model_input_path=image_instance_segmentation_node.outputs.best_model\n",

sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-image-object-detection-in-pipeline/automl-image-object-detection-in-pipeline.ipynb

@@ -428,7 +428,7 @@
     "        command=\"python register.py \"\n",
     "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
     "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"azureml://registries/azureml/environments/sklearn-1.1/labels/latest\",\n",
+    "        environment=\"azureml://registries/azureml/environments/sklearn-1.5/labels/latest\",\n",
     "    )\n",
     "    register_model = command_func(\n",
     "        model_input_path=image_object_detection_node.outputs.best_model\n",

sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-text-classification-in-pipeline/automl-text-classification-in-pipeline.ipynb

@@ -188,7 +188,7 @@
     "        command=\"python register.py \"\n",
     "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
     "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"azureml://registries/azureml/environments/sklearn-1.1/labels/latest\",\n",
+    "        environment=\"azureml://registries/azureml/environments/sklearn-1.5/labels/latest\",\n",
     "    )\n",
     "    register_model = command_func(\n",
     "        model_input_path=text_classification_node.outputs.best_model\n",

sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-text-classification-multilabel-in-pipeline/automl-text-classification-multilabel-in-pipeline.ipynb

@@ -187,7 +187,7 @@
     "        command=\"python register.py \"\n",
     "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
     "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"azureml://registries/azureml/environments/sklearn-1.1/labels/latest\",\n",
+    "        environment=\"azureml://registries/azureml/environments/sklearn-1.5/labels/latest\",\n",
     "    )\n",
     "    register_model = command_func(\n",
     "        model_input_path=text_classification_multilabel_node.outputs.best_model\n",

sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-text-ner-named-entity-recognition-in-pipeline/automl-text-ner-named-entity-recognition-in-pipeline.ipynb

@@ -183,7 +183,7 @@
     "        command=\"python register.py \"\n",
     "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
     "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"azureml://registries/azureml/environments/sklearn-1.1/labels/latest\",\n",
+    "        environment=\"azureml://registries/azureml/environments/sklearn-1.5/labels/latest\",\n",
     "    )\n",
     "    register_model = command_func(model_input_path=text_ner_node.outputs.best_model)\n",
     "\n",

sdk/python/jobs/single-step/pytorch/distributed-training/distributed-cifar10.ipynb

@@ -215,11 +215,11 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "name": "inputs",
     "jupyter": {
      "outputs_hidden": false,
      "source_hidden": false
     },
+    "name": "inputs",
     "nteract": {
      "transient": {
       "deleting": false
@@ -254,7 +254,7 @@
     "    command=\"python read_write_data.py --input_data ${{inputs.cifar_zip}} --output_folder ${{outputs.cifar}}\",\n",
     "    inputs=inputs,\n",
     "    outputs=outputs,\n",
-    "    environment=\"azureml-sklearn-1.1:30\",\n",
+    "    environment=\"azureml://registries/azureml/environments/sklearn-1.5/labels/latest\",\n",
     ")\n",
     "\n",
     "# submit the command\n",
@@ -311,11 +311,11 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "name": "job",
     "jupyter": {
      "outputs_hidden": false,
      "source_hidden": false
     },
+    "name": "job",
     "nteract": {
      "transient": {
       "deleting": false