Updated automl regression notebook to work with the latest matplotlib

.github/workflows/python-sdk-tutorial-auto-ml-classification-bank-marketing-all-features.yml

@@ -58,13 +58,13 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/classification-bank-marketing-all-features
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-classification-bank-marketing-all-features.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/classification-bank-marketing-all-features \
                 --check warning
     - name: check experiment result
       run: |
-         python scripts/validation/check_experiment_result.py \
+         python v1/scripts/validation/check_experiment_result.py \
                 --file_name auto-ml-classification-bank-marketing-all-features.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/classification-bank-marketing-all-features \
                 --experiment_name automl-classification-bmarketing-all \

.github/workflows/python-sdk-tutorial-auto-ml-classification-credit-card-fraud-local.yml

@@ -58,13 +58,13 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/local-run-classification-credit-card-fraud
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-classification-credit-card-fraud-local.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/local-run-classification-credit-card-fraud \
                 --check warning stderr
     - name: check experiment result
       run: |
-         python scripts/validation/check_experiment_result.py \
+         python v1/scripts/validation/check_experiment_result.py \
                 --file_name auto-ml-classification-credit-card-fraud-local.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/local-run-classification-credit-card-fraud \
                 --experiment_name automl-classification-ccard-local \

.github/workflows/python-sdk-tutorial-auto-ml-classification-credit-card-fraud.yml

@@ -58,13 +58,13 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/classification-credit-card-fraud
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-classification-credit-card-fraud.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/classification-credit-card-fraud \
                 --check warning stderr
     - name: check experiment result
       run: |
-         python scripts/validation/check_experiment_result.py \
+         python v1/scripts/validation/check_experiment_result.py \
                 --file_name auto-ml-classification-credit-card-fraud.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/classification-credit-card-fraud \
                 --experiment_name automl-classification-ccard-remote \

.github/workflows/python-sdk-tutorial-auto-ml-classification-text-dnn.yml

@@ -58,21 +58,21 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/classification-text-dnn
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-classification-text-dnn.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/classification-text-dnn \
                 --check warning stderr
     - name: check experiment result
       run: |
-         python scripts/validation/check_experiment_result.py \
+         python v1/scripts/validation/check_experiment_result.py \
                 --file_name auto-ml-classification-text-dnn.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/classification-text-dnn \
                 --experiment_name automl-classification-text-dnn \
                 --minimum_median_score 0.3 \
                 --metric_name accuracy
     - name: check cell output
       run: |
-         python scripts/validation/check_cell_output.py \
+         python v1/scripts/validation/check_cell_output.py \
                 --file_name auto-ml-classification-text-dnn.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/classification-text-dnn \
                 --cell_source \

.github/workflows/python-sdk-tutorial-auto-ml-continuous-retraining.yml

@@ -58,7 +58,7 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/continuous-retraining
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-continuous-retraining.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/continuous-retraining \
                 --check warning

.github/workflows/python-sdk-tutorial-auto-ml-forecasting-bike-share.yml

@@ -58,13 +58,13 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/forecasting-bike-share
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-forecasting-bike-share.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-bike-share \
                 --check warning
     - name: check experiment result
       run: |
-         python scripts/validation/check_experiment_result.py \
+         python v1/scripts/validation/check_experiment_result.py \
                 --file_name auto-ml-forecasting-bike-share.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-bike-share \
                 --experiment_name automl-bikeshareforecasting \

.github/workflows/python-sdk-tutorial-auto-ml-forecasting-energy-demand.yml

@@ -58,13 +58,13 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/forecasting-energy-demand
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-forecasting-energy-demand.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-energy-demand \
                 --check warning stderr
     - name: check experiment result
       run: |
-         python scripts/validation/check_experiment_result.py \
+         python v1/scripts/validation/check_experiment_result.py \
                 --file_name auto-ml-forecasting-energy-demand.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-energy-demand \
                 --experiment_name automl-forecasting-energydemand \

.github/workflows/python-sdk-tutorial-auto-ml-forecasting-function.yml

@@ -58,13 +58,13 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/forecasting-forecast-function
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-forecasting-function.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-forecast-function \
                 --check warning stderr
     - name: check experiment result
       run: |
-         python scripts/validation/check_experiment_result.py \
+         python v1/scripts/validation/check_experiment_result.py \
                 --file_name auto-ml-forecasting-function.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-forecast-function \
                 --experiment_name automl-forecast-function-demo \

.github/workflows/python-sdk-tutorial-auto-ml-forecasting-hierarchical-timeseries.yml

@@ -61,13 +61,13 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/forecasting-hierarchical-timeseries
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-forecasting-hierarchical-timeseries.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-hierarchical-timeseries \
                 --check warning
     - name: check timeseries
       run: |
-         python scripts/validation/check_timeseries.py \
+         python v1/scripts/validation/check_timeseries.py \
                 --file_name auto-ml-forecasting-hierarchical-timeseries.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-hierarchical-timeseries \
                 --experiment_name automl-hts

.github/workflows/python-sdk-tutorial-auto-ml-forecasting-orange-juice-sales.yml

@@ -58,13 +58,13 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/forecasting-orange-juice-sales
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-forecasting-orange-juice-sales.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-orange-juice-sales \
                 --check warning stderr
     - name: check experiment result
       run: |
-         python scripts/validation/check_experiment_result.py \
+         python v1/scripts/validation/check_experiment_result.py \
                 --file_name auto-ml-forecasting-orange-juice-sales.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-orange-juice-sales \
                 --experiment_name automl-ojforecasting \

.github/workflows/python-sdk-tutorial-auto-ml-forecasting-pipelines.yml

@@ -58,7 +58,7 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/forecasting-pipelines
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-forecasting-pipelines.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-pipelines \
                 --check stderr

.github/workflows/python-sdk-tutorial-auto-ml-forecasting-univariate-recipe-experiment-settings.yml

@@ -58,7 +58,7 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/forecasting-recipes-univariate
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-forecasting-univariate-recipe-experiment-settings.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-recipes-univariate \
                 --check warning

.github/workflows/python-sdk-tutorial-auto-ml-forecasting-univariate-recipe-run-experiment.yml

@@ -58,13 +58,13 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/forecasting-recipes-univariate
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-forecasting-univariate-recipe-run-experiment.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-recipes-univariate \
                 --check warning stderr
     - name: check experiment result
       run: |
-         python scripts/validation/check_experiment_result.py \
+         python v1/scripts/validation/check_experiment_result.py \
                 --file_name auto-ml-forecasting-univariate-recipe-run-experiment.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/forecasting-recipes-univariate \
                 --experiment_name alcohol_diff-True_lags-None_STL-None \

.github/workflows/python-sdk-tutorial-auto-ml-regression.yml

@@ -58,13 +58,13 @@ jobs:
       working-directory: v1/python-sdk/tutorials/automl-with-azureml/regression
     - name: check notebook output
       run: |
-         python scripts/validation/check_notebook_output.py \
+         python v1/scripts/validation/check_notebook_output.py \
                 --file_name auto-ml-regression.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/regression \
                 --check warning stderr
     - name: check experiment result
       run: |
-         python scripts/validation/check_experiment_result.py \
+         python v1/scripts/validation/check_experiment_result.py \
                 --file_name auto-ml-regression.output.ipynb \
                 --folder v1/python-sdk/tutorials/automl-with-azureml/regression \
                 --experiment_name automl-regression \

v1/python-sdk/tutorials/automl-with-azureml/generate_workflows.py

@@ -54,12 +54,12 @@ def get_validation_check_yml(notebook_folder, notebook_name, validation):
     validation_name = validation["name"]
     validation_file_name = validation_name.replace(" ", "_")
     notebook_output_file = notebook_name.replace(".", ".output.")
-    full_folder_name = f"python-sdk/tutorials/automl-with-azureml/{notebook_folder}"
+    full_folder_name = f"v1/python-sdk/tutorials/automl-with-azureml/{notebook_folder}"
 
     check_yml = f"""
     - name: {validation_name}
       run: |
-         python scripts/validation/{validation_file_name}.py \\
+         python v1/scripts/validation/{validation_file_name}.py \\
                 --file_name {notebook_output_file} \\
                 --folder {full_folder_name} \\"""
 
@@ -84,9 +84,7 @@ def write_notebook_workflow(notebook, notebook_folder, cron_schedule):
     creds = "${{secrets.AZ_CREDS}}"
 
     run_update_env = ""
-    update_yml_file = (
-        f"python-sdk/tutorials/automl-with-azureml/{notebook_folder}/{UPDATE_ENV_YML}"
-    )
+    update_yml_file = f"v1/python-sdk/tutorials/automl-with-azureml/{notebook_folder}/{UPDATE_ENV_YML}"
     # some notebook needs install more packages with the basic automl requirement.
     if os.path.exists(os.path.join(notebook_folder, UPDATE_ENV_YML)):
         run_update_env = f"""
@@ -97,7 +95,7 @@ def write_notebook_workflow(notebook, notebook_folder, cron_schedule):
     validation_yml = get_validation_yml(notebook_folder, notebook)
 
     workflow_yaml = f"""name: {notebook_name}
-# This file is generated by python-sdk/tutorials/automl-with-azureml/generate_workflows.py
+# This file is generated by v1/python-sdk/tutorials/automl-with-azureml/generate_workflows.py
 on:
   workflow_dispatch:
   schedule:
@@ -106,8 +104,8 @@ def write_notebook_workflow(notebook, notebook_folder, cron_schedule):
     branches:
       - main
     paths:
-      - python-sdk/tutorials/automl-with-azureml/{notebook_folder}/**
-      - python-sdk/tutorials/automl-with-azureml/automl_env_linux.yml
+      - v1/python-sdk/tutorials/automl-with-azureml/{notebook_folder}/**
+      - v1/python-sdk/tutorials/automl-with-azureml/automl_env_linux.yml
       - .github/workflows/python-sdk-tutorial-{notebook_name}.yml
 jobs:
   build:
@@ -126,14 +124,14 @@ def write_notebook_workflow(notebook, notebook_folder, cron_schedule):
         python-version: "3.8"
     - name: Run Install packages
       run: |
-         chmod +x ./scripts/install-packages.sh
-         ./scripts/install-packages.sh
+         chmod +x ./v1/scripts/install-packages.sh
+         ./v1/scripts/install-packages.sh
       shell: bash
     - name: create automl conda environment
       uses: conda-incubator/setup-miniconda@v2
       with:
           activate-environment: azure_automl
-          environment-file: python-sdk/tutorials/automl-with-azureml/automl_env_linux.yml
+          environment-file: v1/python-sdk/tutorials/automl-with-azureml/automl_env_linux.yml
           auto-activate-base: false{run_update_env}
     - name: install papermill and set up the IPython kernel
       run: |
@@ -146,23 +144,23 @@ def write_notebook_workflow(notebook, notebook_folder, cron_schedule):
         creds: {creds}
     - name: Run update-azure-extensions
       run: |
-         chmod +x ./scripts/update-azure-extensions.sh
-         ./scripts/update-azure-extensions.sh
+         chmod +x ./v1/scripts/update-azure-extensions.sh
+         ./v1/scripts/update-azure-extensions.sh
       shell: bash
     - name: attach to workspace
       run: az ml folder attach -w main -g azureml-examples
     - name: run {notebook}
       run: papermill -k python {notebook} {notebook_name}.output.ipynb
-      working-directory: python-sdk/tutorials/automl-with-azureml/{notebook_folder}{validation_yml}
+      working-directory: v1/python-sdk/tutorials/automl-with-azureml/{notebook_folder}{validation_yml}
     - name: upload notebook's working folder as an artifact
       if: ${{{{ always() }}}}
       uses: actions/upload-artifact@v2
       with:
         name: {notebook_name}
-        path: python-sdk/tutorials/automl-with-azureml/{notebook_folder}\n"""
+        path: v1/python-sdk/tutorials/automl-with-azureml/{notebook_folder}\n"""
 
     workflow_file = (
-        f"../../../.github/workflows/python-sdk-tutorial-{notebook_name}.yml"
+        f"../../../../.github/workflows/python-sdk-tutorial-{notebook_name}.yml"
     )
     workflow_before = ""
     if os.path.exists(workflow_file):

v1/python-sdk/tutorials/automl-with-azureml/regression/auto-ml-regression.ipynb

@@ -422,8 +422,8 @@
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
-    "test_pred = plt.scatter(y_test, y_pred_test, color=\"\")\n",
-    "test_test = plt.scatter(y_test, y_test, color=\"g\")\n",
+    "test_pred = plt.scatter(y_test, y_pred_test, c=[\"b\"])\n",
+    "test_test = plt.scatter(y_test, y_test, c=[\"g\"])\n",
     "plt.legend(\n",
     "    (test_pred, test_test), (\"prediction\", \"truth\"), loc=\"upper left\", fontsize=8\n",
     ")\n",