From 027c6ff57f0d85d2c6a3059eb93fe036e81bdb31 Mon Sep 17 00:00:00 2001 From: Peter Hessey Date: Mon, 7 Nov 2022 13:42:27 +0000 Subject: [PATCH] =?UTF-8?q?=F0=9F=93=9D=20Fix=20doc=20links?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docs/source/rst/models.rst | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/rst/models.rst b/docs/source/rst/models.rst index f9086f8e9..335a8e66b 100755 --- a/docs/source/rst/models.rst +++ b/docs/source/rst/models.rst @@ -17,7 +17,7 @@ Terms of use Please note that all models provided by InnerEye-DeepLearning are intended for research purposes only. You are responsible for the performance, the necessary testing, - and if needed any regulatory clearance for any of the models produced by this toolbox. +and if needed any regulatory clearance for any of the models produced by this toolbox. Usage ----- @@ -25,7 +25,7 @@ Usage The following instructions assume you have completed the preceding setup steps in the `InnerEye README `__, in -particular, `Setting up Azure Machine Learning `__. +particular, `Setting up Azure Machine Learning <../md/setting_up_aml.html>`__. Create an AzureML Dataset ~~~~~~~~~~~~~~~~~~~~~~~~~ @@ -34,7 +34,7 @@ To evaluate pre-trained models on your own data, you will first need to register an `Azure ML Dataset `__. You can follow the instructions in the for `creating -datasets `__ in order to do this. +datasets <../md/creating_dataset.html>`__ in order to do this. Downloading the models ~~~~~~~~~~~~~~~~~~~~~~ @@ -49,7 +49,7 @@ To evaluate the model in Azure ML, you must first `register an Azure ML Model `__. To register the pre-trained model in your AML Workspace, unpack the source code downloaded in the previous step and follow InnerEye's -`instructions to upload models to Azure ML `__. +`instructions to upload models to Azure ML <../md/move_model.html>`__. Run the following from a folder that contains both the ``ENVIRONMENT/`` and ``MODEL/`` folders (these exist inside the downloaded model files): @@ -74,7 +74,7 @@ Evaluating the model You can evaluate the model either in Azure ML or locally using the downloaded checkpoint files. These 2 scenarios are described in more detail, along with instructions in `testing an existing -model `__. +model <../md/building_models.html#testing-an-existing-model>`__. For example, to evaluate the model on your Dataset in Azure ML, run the following from within the directory ``*/MODEL/final_ensemble_model/``