remove experiment_name (#2154)

* remove experiment_name

* remove bullet

tutorials/get-started-notebooks/quickstart.ipynb

@@ -336,7 +336,6 @@
     "Here, you'll create input variables to specify the input data, split ratio, learning rate and registered model name.  The command script will:\n",
     "* Use the compute cluster to run the command.\n",
     "* Use an *environment* that defines software and runtime libraries needed for the training script. Azure Machine Learning provides many curated or ready-made environments, which are useful for common training and inference scenarios. You'll use one of those environments here.  In the [Train a model](train-model.ipynb) tutorial, you'll learn how to create a custom environment. \n",
-    "* Configure some metadata like display name, experiment name etc. An *experiment* is a container for all the iterations you do on a certain project. All the jobs submitted under the same experiment name would be listed next to each other in Azure Machine Learning studio.\n",
     "* Configure the command line action itself - `python main.py` in this case. The inputs/outputs are accessible in the command via the `${{ ... }}` notation.\n",
     "* In this sample, we access the data from a file on the internet. "
    ]
@@ -371,7 +370,6 @@
     "    command=\"python main.py --data ${{inputs.data}} --test_train_ratio ${{inputs.test_train_ratio}} --learning_rate ${{inputs.learning_rate}} --registered_model_name ${{inputs.registered_model_name}}\",\n",
     "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest\",\n",
     "    compute=\"cpu-cluster\",\n",
-    "    experiment_name=\"train_model_credit_default_prediction\",\n",
     "    display_name=\"credit_default_prediction\",\n",
     ")"
    ]
@@ -709,9 +707,9 @@
    "name": "python310-sdkv2"
   },
   "kernelspec": {
-   "display_name": "Python 3.10 - SDK v2",
-   "language": "python",
-   "name": "python310-sdkv2"
+    "display_name": "Python 3.10 - SDK v2",
+    "language": "python",
+    "name": "python310-sdkv2"
   },
   "language_info": {
    "codemirror_mode": {

tutorials/get-started-notebooks/train-model.ipynb

@@ -473,7 +473,6 @@
     "Here, create input variables to specify the input data, split ratio, learning rate and registered model name.  The command script will:\n",
     "* Use the compute created earlier to run this command.\n",
     "* Use the environment created earlier - you can use the `@latest` notation to indicate the latest version of the environment when the command is run.\n",
-    "* Configure some metadata like display name, experiment name etc. An *experiment* is a container for all the iterations you do on a certain project. All the jobs submitted under the same experiment name are next to each other in Azure Machine Learning studio.\n",
     "* Configure the command line action itself - `python main.py` in this case. The inputs/outputs are accessible in the command via the `${{ ... }}` notation."
    ]
   },
@@ -507,7 +506,6 @@
     "    command=\"python main.py --data ${{inputs.data}} --test_train_ratio ${{inputs.test_train_ratio}} --learning_rate ${{inputs.learning_rate}} --registered_model_name ${{inputs.registered_model_name}}\",\n",
     "    environment=\"aml-scikit-learn@latest\",\n",
     "    compute=\"cpu-cluster\",\n",
-    "    experiment_name=\"train_model_credit_default_prediction\",\n",
     "    display_name=\"credit_default_prediction\",\n",
     ")"
    ]
@@ -606,9 +604,9 @@
    "name": "python310-sdkv2"
   },
   "kernelspec": {
-   "display_name": "Python 3.10 - SDK v2",
-   "language": "python",
-   "name": "python310-sdkv2"
+    "display_name": "Python 3.10 - SDK v2",
+    "language": "python",
+    "name": "python310-sdkv2"
   },
   "language_info": {
    "codemirror_mode": {