[chore] Update sklearn envs to ditch deprecated environments (#3124)

* Remove failing finetuning samples

* Remove workflows

* Replace all AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latesst

* Replace all azureml-sklearn-1.0:23

* Replace AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest

* Replace environment in typescript exampele

cli/assets/component/pipeline.yml

@@ -12,12 +12,12 @@ description: pipeline component with inline job
 jobs:
   hello_job:
     type: command
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     command: echo 'hello'
 
   world_job:
     type: command
     command: echo 'world'
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 
 # </jobs>

cli/endpoints/batch/deploy-pipelines/hello-batch/hello-component/hello.yml

@@ -8,6 +8,6 @@ jobs:
     type: command
     component:
       code: src
-      environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+      environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
       command: >-
         python hello.py

cli/jobs/basics/hello-data-uri-folder.yml

@@ -7,4 +7,4 @@ inputs:
     type: uri_folder
     path: azureml:local-folder-example@latest
     mode: ro_mount
-environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest

cli/jobs/basics/hello-dataset.yml

@@ -7,4 +7,4 @@ inputs:
     type: uri_folder
     path: azureml:sampledata@latest
     mode: ro_mount
-environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest

cli/jobs/basics/hello-iris-datastore-file.yml

@@ -7,4 +7,4 @@ inputs:
   iris_csv:
     type: uri_file 
     path: azureml://datastores/workspaceblobstore/paths/example-data/iris.csv
-environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest

cli/jobs/basics/hello-iris-datastore-folder.yml

@@ -8,4 +8,4 @@ inputs:
   data_dir:
     type: uri_folder 
     path: azureml://datastores/workspaceblobstore/paths/example-data/
-environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest

cli/jobs/basics/hello-iris-file.yml

@@ -7,4 +7,4 @@ inputs:
   iris_csv:
     type: uri_file 
     path: https://azuremlexamples.blob.core.windows.net/datasets/iris.csv
-environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest

cli/jobs/basics/hello-iris-folder.yml

@@ -8,4 +8,4 @@ inputs:
   data_dir:
     type: uri_folder 
     path: wasbs://datasets@azuremlexamples.blob.core.windows.net/
-environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest

cli/jobs/basics/hello-iris-literal.yml

@@ -6,4 +6,4 @@ code: src
 inputs:
   type: uri_file
   iris_csv: https://azuremlexamples.blob.core.windows.net/datasets/iris.csv
-environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest

cli/jobs/basics/hello-mlflow.yml

@@ -1,4 +1,4 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandJob.schema.json
 command: python hello-mlflow.py
 code: src
-environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest

cli/jobs/basics/hello-model-as-input.yml

@@ -12,4 +12,4 @@ inputs:
   my_model:
     type: mlflow_model # List of all model types here: https://learn.microsoft.com/azure/machine-learning/reference-yaml-model#yaml-syntax
     path: ../../assets/model/mlflow-model
-environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest

cli/jobs/basics/hello-model-as-output.yml

@@ -19,4 +19,4 @@ inputs:
 outputs:
   output_folder: 
     type: custom_model # mlflow_model,custom_model, triton_model
-environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest

cli/jobs/basics/hello-pipeline-abc-serverless.yml

@@ -11,17 +11,17 @@ inputs:
 jobs:
   a:
     command: echo hello ${{inputs.hello_string}}
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     inputs:
       hello_string: ${{parent.inputs.hello_string_top_level_input}}
   b:
     command: echo "world" >> ${{outputs.world_output}}/world.txt
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     outputs:
       world_output:
   c:
     command: echo ${{inputs.world_input}}/world.txt
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     inputs:
       world_input: ${{parent.jobs.b.outputs.world_output}}
  

cli/jobs/basics/hello-pipeline-customize-output-file-serverless.yml

@@ -14,6 +14,6 @@ outputs:
 jobs:
   hello_world:
     command: echo "hello" && echo "world" > ${{outputs.output}}
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest    
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest    
     outputs:
       output: ${{parent.outputs.output}}

cli/jobs/basics/hello-pipeline-customize-output-file.yml

@@ -10,7 +10,7 @@ outputs:
 jobs:
   hello_world:
     command: echo "hello" && echo "world" > ${{outputs.output}}
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     compute: azureml:cpu-cluster
     outputs:
       output: ${{parent.outputs.output}}

cli/jobs/basics/hello-pipeline-customize-output-folder-serverless.yml

@@ -8,7 +8,7 @@ settings:
 jobs:
   hello_world:
     command: echo "hello" && echo "world" > ${{outputs.output}}/hello_world-folder.txt
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     outputs:
       output:
         type: uri_folder

cli/jobs/basics/hello-pipeline-customize-output-folder.yml

@@ -6,7 +6,7 @@ settings:
 jobs:
   hello_world:
     command: echo "hello" && echo "world" > ${{outputs.output}}/hello_world-folder.txt
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     compute: azureml:cpu-cluster
     outputs:
       output:

cli/jobs/basics/hello-pipeline-default-artifacts-serverless.yml

@@ -8,12 +8,12 @@ settings:
 jobs:
   hello_job:
     command: echo "hello" && echo "world" > ./outputs/world.txt
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest    
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest    
     outputs:
       artifacts:
   world_job:
     command: cat ${{inputs.world_input}}/outputs/world.txt
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest    
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest    
     inputs:
       world_input: ${{parent.jobs.hello_job.outputs.artifacts}}
 

cli/jobs/basics/hello-pipeline-default-artifacts.yml

@@ -4,13 +4,13 @@ display_name: hello_pipeline_default_artifacts
 jobs:
   hello_job:
     command: echo "hello" && echo "world" > ./outputs/world.txt
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     compute: azureml:cpu-cluster
     outputs:
       artifacts:
   world_job:
     command: cat ${{inputs.world_input}}/outputs/world.txt
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     compute: azureml:cpu-cluster
     inputs:
       world_input: ${{parent.jobs.hello_job.outputs.artifacts}}

cli/jobs/basics/hello-pipeline-io-serverless.yml

@@ -8,7 +8,7 @@ settings:
 jobs:
   hello_job:
     command: echo "hello" && echo "world" > ${{outputs.world_output}}/world.txt
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest    
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest    
     outputs:
       world_output:
   world_job:

cli/jobs/basics/hello-pipeline-serverless.yml

@@ -8,8 +8,8 @@ settings:
 jobs:
   hello_job:
     command: echo "hello"
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest    
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest    
   world_job:
     command: echo "world"
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest    
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest    
  

cli/jobs/basics/hello-pipeline.yml

@@ -4,10 +4,10 @@ display_name: hello_pipeline
 jobs:
   hello_job:
     command: echo "hello"
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     compute: azureml:cpu-cluster
   world_job:
     command: echo "world"
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     compute: azureml:cpu-cluster
  

cli/jobs/basics/hello-sweep.yml

@@ -7,7 +7,7 @@ trial:
     --B ${{search_space.B}}
     --C ${{search_space.C}}
   code: src
-  environment: azureml:azureml-sklearn-1.0:23
+  environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 inputs:
   A: 0.5
 sampling_algorithm: random

cli/jobs/pipelines-with-components/pipeline_with_hyperparameter_sweep/predict.yml

@@ -13,7 +13,7 @@ outputs:
   predict_result:
     type: uri_folder
 code: ./predict-src
-environment: azureml:azureml-sklearn-1.0:23
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 command: >-
   python predict.py 
   --model ${{inputs.model}} 

cli/jobs/pipelines-with-components/pipeline_with_hyperparameter_sweep/train.yml

@@ -59,7 +59,7 @@ outputs:
   
 code: ./train-src
 
-environment: azureml:azureml-sklearn-1.0:23
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 
 command: >-
   python train.py 

cli/jobs/pipelines-with-components/pipeline_with_pipeline_component/nyc_taxi_data_regression_with_pipeline_component/data_pipeline/prep_src/prep.yml

@@ -12,7 +12,7 @@ outputs:
   prep_data:
     type: uri_folder
 code: .
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 command: >-
   python prep.py 
   $[[--raw_data ${{inputs.raw_data}}]]

cli/jobs/pipelines-with-components/pipeline_with_pipeline_component/nyc_taxi_data_regression_with_pipeline_component/data_pipeline/transform_src/transform.yml

@@ -11,7 +11,7 @@ outputs:
   transformed_data:
     type: uri_folder
 code: .
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 command: >-
   python transform.py 
   --clean_data ${{inputs.clean_data}} 

cli/jobs/pipelines-with-components/pipeline_with_pipeline_component/nyc_taxi_data_regression_with_pipeline_component/train_pipeline/predict_src/predict.yml

@@ -12,7 +12,7 @@ inputs:
 outputs:
   predictions:
     type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 code: .
 command: >-
   python predict.py 

cli/jobs/pipelines-with-components/pipeline_with_pipeline_component/nyc_taxi_data_regression_with_pipeline_component/train_pipeline/score_src/score.yml

@@ -12,7 +12,7 @@ inputs:
 outputs:
   score_report:
     type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 code: .
 command: >-
   python score.py 

cli/jobs/pipelines-with-components/pipeline_with_pipeline_component/nyc_taxi_data_regression_with_pipeline_component/train_pipeline/train_src/train.yml

@@ -18,7 +18,7 @@ outputs:
   test_data:
     type: uri_folder
 code: .
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 command: >-
   python train.py 
   --train_data ${{inputs.train_data}} 

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

@@ -28,7 +28,7 @@ jobs:
         type: uri_folder
         mode: upload
 
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 
     compute: azureml:cpu-cluster
 

cli/jobs/single-step/pytorch/iris/job.yml

@@ -12,7 +12,7 @@ inputs:
     path: https://azuremlexamples.blob.core.windows.net/datasets/iris.csv
   epochs: 10
   lr: 0.1
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 compute: azureml:cpu-cluster
 display_name: pytorch-iris-example
 experiment_name: pytorch-iris-example

cli/jobs/single-step/scikit-learn/diabetes/job.yml

@@ -7,7 +7,7 @@ inputs:
   diabetes_csv: 
     type: uri_file
     path: https://azuremlexamples.blob.core.windows.net/datasets/diabetes.csv
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 compute: azureml:cpu-cluster
 display_name: sklearn-diabetes-example
 experiment_name: sklearn-diabetes-example

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-0.24-ubuntu18.04-py37-cpu@latest
+  environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 inputs:
   iris_csv: 
     type: uri_file

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

@@ -13,7 +13,7 @@ inputs:
   C: 0.8
   kernel: "rbf"
   coef0: 0.1
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 compute: azureml:cpu-cluster
 display_name: sklearn-iris-example
 experiment_name: sklearn-iris-example

cli/schedules/simple-pipeline-job.yml

@@ -8,17 +8,17 @@ inputs:
 jobs:
   a:
     command: echo hello ${{inputs.hello_string}}
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     inputs:
       hello_string: ${{parent.inputs.hello_string_top_level_input}}
   b:
     command: echo "world" >> ${{outputs.world_output}}/world.txt
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     outputs:
       world_output:
   c:
     command: echo ${{inputs.world_input}}/world.txt
-    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+    environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
     inputs:
       world_input: ${{parent.jobs.b.outputs.world_output}}
  

sdk/python/endpoints/batch/deploy-pipelines/hello-batch/hello-component/hello.yml

@@ -9,6 +9,6 @@ jobs:
     component:
       is_deterministic: false
       code: src
-      environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+      environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
       command: >-
         python hello.py

sdk/python/jobs/pipelines/1c_pipeline_with_hyperparameter_sweep/predict.yml

@@ -13,7 +13,7 @@ outputs:
   predict_result:
     type: uri_folder
 code: ./predict-src
-environment: azureml:azureml-sklearn-1.0:23
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 command: >-
   python predict.py 
   --model ${{inputs.model}} 

sdk/python/jobs/pipelines/1c_pipeline_with_hyperparameter_sweep/train.yml

@@ -59,7 +59,7 @@ outputs:
   
 code: ./train-src
 
-environment: azureml:azureml-sklearn-1.0:23
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 
 command: >-
   python train.py 

sdk/python/jobs/pipelines/1j_pipeline_with_pipeline_component/nyc_taxi_data_regression_with_pipeline_component/data_pipeline/prep_src/prep.yml

@@ -12,7 +12,7 @@ outputs:
   prep_data:
     type: uri_folder
 code: .
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 command: >-
   python prep.py 
   $[[--raw_data ${{inputs.raw_data}}]]

sdk/python/jobs/pipelines/1j_pipeline_with_pipeline_component/nyc_taxi_data_regression_with_pipeline_component/data_pipeline/transform_src/transform.yml

@@ -11,7 +11,7 @@ outputs:
   transformed_data:
     type: uri_folder
 code: .
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 command: >-
   python transform.py 
   --clean_data ${{inputs.clean_data}} 

sdk/python/jobs/pipelines/1j_pipeline_with_pipeline_component/nyc_taxi_data_regression_with_pipeline_component/train_pipeline/predict_src/predict.yml

@@ -12,7 +12,7 @@ inputs:
 outputs:
   predictions:
     type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 code: .
 command: >-
   python predict.py 

sdk/python/jobs/pipelines/1j_pipeline_with_pipeline_component/nyc_taxi_data_regression_with_pipeline_component/train_pipeline/score_src/score.yml

@@ -12,7 +12,7 @@ inputs:
 outputs:
   score_report:
     type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 code: .
 command: >-
   python score.py 

sdk/python/jobs/pipelines/1j_pipeline_with_pipeline_component/nyc_taxi_data_regression_with_pipeline_component/train_pipeline/train_src/train.yml

@@ -18,7 +18,7 @@ outputs:
   test_data:
     type: uri_folder
 code: .
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml://registries/azureml/environments/sklearn-1.0/labels/latest
 command: >-
   python train.py 
   --train_data ${{inputs.train_data}} 

sdk/typescript/src/assets/component/componentVersionsCreateOrUpdateSample.ts

@@ -27,7 +27,7 @@ export async function createOrUpdateComponentVersion() : Promise<void> {
       description: "This is the basic command component",
       componentSpec: {
         'command': 'echo Hello World & echo $[[${{inputs.component_in_number}}]] & echo $[[${{inputs.component_in_path}}]] & echo ${{outputs.component_out_path}} > ${{outputs.component_out_path}}/component_in_number',
-        'environment': 'azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1',
+        'environment': 'azureml://registries/azureml/environments/sklearn-1.0/labels/latest',
         'name': 'command_component_basic',
         'description': 'This is the basic command component',
         'tags': { 'tag': 'tagvalue', 'owner': 'sdkteam' },