From 303957a3ad0e6db018b1ceaa609da1ae9db2125f Mon Sep 17 00:00:00 2001 From: Sheri Gilley Date: Tue, 28 Mar 2023 09:48:40 -0500 Subject: [PATCH] remove experiment_name (#2154) * remove experiment_name * remove bullet --- tutorials/get-started-notebooks/quickstart.ipynb | 8 +++----- tutorials/get-started-notebooks/train-model.ipynb | 8 +++----- 2 files changed, 6 insertions(+), 10 deletions(-) diff --git a/tutorials/get-started-notebooks/quickstart.ipynb b/tutorials/get-started-notebooks/quickstart.ipynb index 77ee3d436b..78992e1bf1 100644 --- a/tutorials/get-started-notebooks/quickstart.ipynb +++ b/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 ${{inputs.registered_model_name}}\",\n", " environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest\",\n", " compute=\"cpu-cluster\",\n", - " experiment_name=\"train_model_credit_default_prediction\",\n", " display_name=\"credit_default_prediction\",\n", ")" ] @@ -709,9 +707,9 @@ "name": "python310-sdkv2" }, "kernelspec": { - "display_name": "Python 3.10 - SDK v2", - "language": "python", - "name": "python310-sdkv2" + "display_name": "Python 3.10 - SDK v2", + "language": "python", + "name": "python310-sdkv2" }, "language_info": { "codemirror_mode": { diff --git a/tutorials/get-started-notebooks/train-model.ipynb b/tutorials/get-started-notebooks/train-model.ipynb index 2b44517a2b..1ff91ede81 100644 --- a/tutorials/get-started-notebooks/train-model.ipynb +++ b/tutorials/get-started-notebooks/train-model.ipynb @@ -473,7 +473,6 @@ "Here, create input variables to specify the input data, split ratio, learning rate and registered model name. The command script will:\n", "* Use the compute created earlier to run this command.\n", "* Use the environment created earlier - you can use the `@latest` notation to indicate the latest version of the environment when the command is run.\n", - "* Configure some metadata like display name, experiment name etc. An *experiment* is a container for all the iterations you do on a certain project. All the jobs submitted under the same experiment name are next to each other in Azure Machine Learning studio.\n", "* Configure the command line action itself - `python main.py` in this case. The inputs/outputs are accessible in the command via the `${{ ... }}` 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": {