From ddd025e83e5effe3e500e8066e68b53d985fa417 Mon Sep 17 00:00:00 2001 From: Jeff Shepherd Date: Fri, 15 Feb 2019 11:31:10 -0800 Subject: [PATCH] Fixed links to configuration notebook. --- .../automated-machine-learning/README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/how-to-use-azureml/automated-machine-learning/README.md b/how-to-use-azureml/automated-machine-learning/README.md index 3bbf53d8..77c78292 100644 --- a/how-to-use-azureml/automated-machine-learning/README.md +++ b/how-to-use-azureml/automated-machine-learning/README.md @@ -25,7 +25,7 @@ Below are the three execution environments supported by AutoML. 1. [![Azure Notebooks](https://notebooks.azure.com/launch.png)](https://aka.ms/aml-clone-azure-notebooks) [Import sample notebooks ](https://aka.ms/aml-clone-azure-notebooks) into Azure Notebooks. -1. Follow the instructions in the [configuration](configuration.ipynb) notebook to create and connect to a workspace. +1. Follow the instructions in the [configuration](../../configuration.ipynb) notebook to create and connect to a workspace. 1. Open one of the sample notebooks. @@ -90,7 +90,7 @@ bash automl_setup_linux.sh ``` ### 4. Running configuration.ipynb -- Before running any samples you next need to run the configuration notebook. Click on configuration.ipynb notebook +- Before running any samples you next need to run the configuration notebook. Click on [configuration](../../configuration.ipynb) notebook - Execute the cells in the notebook to Register Machine Learning Services Resource Provider and create a workspace. (*instructions in notebook*) ### 5. Running Samples @@ -99,9 +99,6 @@ bash automl_setup_linux.sh # Automated ML SDK Sample Notebooks -- [configuration.ipynb](configuration.ipynb) - - Create new Azure ML Workspace - - Save Workspace configuration file - [auto-ml-classification.ipynb](classification/auto-ml-classification.ipynb) - Dataset: scikit learn's [digit dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits) @@ -169,6 +166,9 @@ bash automl_setup_linux.sh - How to specifying sample_weight - The difference that it makes to test results +- [auto-ml-subsampling-local.ipynb](subsampling/auto-ml-subsampling-local.ipynb) + - How to enable subsampling + - [auto-ml-dataprep.ipynb](dataprep/auto-ml-dataprep.ipynb) - Using DataPrep for reading data