update samples from Release-168 as a part of SDK release

how-to-use-azureml/automated-machine-learning/automl_env.yml

@@ -5,32 +5,17 @@ channels:
   - main
 dependencies:
   # The python interpreter version.
-  # Currently Azure ML only supports 3.6.0 and later.
-- pip==20.2.4
-- python>=3.6,<3.9
-- matplotlib==3.2.1
-- py-xgboost==1.3.3
-- pytorch::pytorch=1.11.0
-- conda-forge::fbprophet==0.7.1
-- cudatoolkit=10.1.243
-- scipy==1.5.3
-- notebook
-- PySocks==1.7.1
-- conda-forge::pyqt==5.12.3
-- jinja2<=2.11.2
-- markupsafe<2.1.0
-- tqdm==4.64.1
-- jsonschema==4.16.0
-- websocket-client==1.4.1
+  # Azure ML only supports 3.7.0 and later.
+- pip==22.3.1
+- python>=3.7,<3.9
 
 - pip:
   # Required packages for AzureML execution, history, and data preparation.
-  - azureml-widgets~=1.47.0
-  - azureml-defaults~=1.47.0
-  - pytorch-transformers==1.0.0
-  - spacy==2.2.4
-  - pystan==2.19.1.1
-  - https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz
-  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.47.0/validated_win32_requirements.txt [--no-deps]
+  - azureml-widgets~=latest
+  - azureml-defaults~=latest
+  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/latest/validated_win32_requirements.txt [--no-deps]
+  - matplotlib==3.6.2
+  - xgboost==1.3.3
   - arch==4.14
-  - wasabi==0.9.1
+  - mlflow-skinny==1.30.0
+