Merge pull request #87 from Microsoft/ronglu_edit

Added deprecation message in the docs
microsoft · Dec 4, 2018 · 9619a70 · 9619a70
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diff --git a/archive/README.md b/archive/README.md
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+## DEPRECATED - This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
+
 # Visual Studio Code Tools for AI
 Visual Studio Code Tools for AI is an extension to build, test, and deploy machine learning and deep learning models. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to running data preparation and model training experiments both locally and on remote compute targets.
 

diff --git a/archive/docs/deploy-models-aml-vscode.md b/archive/docs/deploy-models-aml-vscode.md
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+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
+
 # Deploy and manage models with Azure Machine Learning
 Azure Machine Learning enables deploying and managing your machine learning models in the cloud and on the edge. 
 

diff --git a/archive/docs/docviewer.md b/archive/docs/docviewer.md
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+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # View Deep learning document with VS Code
 VS Code Tools for AI is shipped with document for some common deep learning frameworks. You can manage and browse the document in VS Code and search for API reference within editor window through simple command.
 

diff --git a/archive/docs/faq.md b/archive/docs/faq.md
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-# Frequently Asked Questions
+## DEPRECATED - This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
+# Frequently Asked Questions
 
 ## Install Visual Studio Code Tools for AI
 

diff --git a/archive/docs/feedback.md b/archive/docs/feedback.md
@@ -1,3 +1,4 @@
+## DEPRECATED - This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Feedback on VS Code Tools for AI
 If you have any issues, questions or suggestions, you have two approaches to contact us:
 

diff --git a/archive/docs/getting-started-aml-vscode.md b/archive/docs/getting-started-aml-vscode.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC - This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Getting started with Azure Machine Learning in Visual Studio Code
 Visual Studio Code Tools for AI is an extension to build, test, and deploy machine learning and deep learning models. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to running data preparation and model training experiments both locally and on remote compute targets.
 

diff --git a/archive/docs/installation.md b/archive/docs/installation.md
@@ -1,3 +1,5 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
+
 # Installing Visual Studio Code Tools for AI
 
 This extension works with [Visual Studio Code](https://code.visualstudio.com/). 

diff --git a/archive/docs/installationPage.md b/archive/docs/installationPage.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Installation Page
 
 We provide `Tools for AI Installation Page` to help users setup AI dependent environment.

diff --git a/archive/docs/manage-compute-aml-vscode.md b/archive/docs/manage-compute-aml-vscode.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Create and manage Azure compute targets in Visual Studio Code
 Visual Studio Code Tools for AI supports running data preparation and model training experiments both locally and on remote compute targets.
 

diff --git a/archive/docs/prepare-localmachine.md b/archive/docs/prepare-localmachine.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Preparing development environment
 
 Before training deep learning models on your local or remote computer you should make sure you have the latest applicable prerequisites installed. This includes making sure the latest drivers and libraries for your NVIDIA GPU (if you have one). You should also ensure you have installed Python and Python libraries such as NumPy, SciPy, Python support for Visual Studio / Visual Studio Code, and appropriate deep learning frameworks such as Microsoft Cognitive Toolkit (CNTK), TensorFlow, PyTorch, Caffe2, MXNet, Keras, Theano and/or Chainer.

diff --git a/archive/docs/quickstart-00-project-from-azuremachinelearning-gallery.md b/archive/docs/quickstart-00-project-from-azuremachinelearning-gallery.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Quickstart: create an AI project from Azure Marchine Learning Gallery in Visual Studio Code
 
 ## Exploring project samples

diff --git a/archive/docs/quickstart-01-submitting-training-jobs.md b/archive/docs/quickstart-01-submitting-training-jobs.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Submitting a job to train your model locally or in the cloud
 Now that the new project is open in Visual Studio Code, you can submit a model training job to your different compute targets. (local or VM with docker).
 

diff --git a/archive/docs/quickstart-02-job-view.md b/archive/docs/quickstart-02-job-view.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # View recent job performance and details
 
 Once the jobs are submitted, you can list the jobs from the run history.

diff --git a/archive/docs/quickstart-03-storage-explorer.md b/archive/docs/quickstart-03-storage-explorer.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Manage remote storage
 Visual Studio Code Tools for AI comes with a **Storage Explorer**.
 

diff --git a/archive/docs/quickstart-05-pai.md b/archive/docs/quickstart-05-pai.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Training AI models in PAI
 
 [PAI(Platform for AI)](https://github.com/Microsoft/pai) is a cluster management tool and resource scheduling platform, jointly designed and developed by Microsoft Research (MSR) and Microsoft Search Technology Center (STC). The platform incorporates some mature design that has a proven track record in large scale Microsoft production environment, and is tailored primarily for academic and research purpose.

diff --git a/archive/docs/quickstart-06-jupyter.md b/archive/docs/quickstart-06-jupyter.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Open Jupyter notebooks in VS Code
 In this tutorial, we will open a Jupyter notebook in VS Code window.
 

diff --git a/archive/docs/quickstart-07-tensorboard.md b/archive/docs/quickstart-07-tensorboard.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Run TensorBoard locally in VS Code
 
 In this quickstart, we will run a tensorboard service locally in AI Tools and view the model graph. 

diff --git a/archive/docs/releasenotes.md b/archive/docs/releasenotes.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Release Notes
 
 ## 0.2.0 (2018-08-25)

diff --git a/archive/docs/samplePage.md b/archive/docs/samplePage.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Sample Page
 
 We provide `Tools for AI Sample Page` to provide AI training samples.

diff --git a/archive/docs/startPage.md b/archive/docs/startPage.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Start Page
 
 We provide `Tools for AI Start Page` to help users get started with AI development.

diff --git a/archive/docs/tensorflow-local.md b/archive/docs/tensorflow-local.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Train a TensorFlow model locally 
 
 In this quickstart, we will run a TensorFlow model with the [MNIST](http://yann.lecun.com/exdb/mnist/) dataset locally in AI Tools. 

diff --git a/archive/docs/tensorflow-vm.md b/archive/docs/tensorflow-vm.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Train a TensorFlow model in the cloud
 In this tutorial, we will train a TensorFlow model using the [MNIST dataset](http://yann.lecun.com/exdb/mnist/) in an Azure [Deep Learning Virtual Machine](https://docs.microsoft.com/azure/machine-learning/data-science-virtual-machine/deep-learning-dsvm-overview). 
 

diff --git a/archive/docs/train-models-aml-vscode.md b/archive/docs/train-models-aml-vscode.md
@@ -1,3 +1,4 @@
+## DEPRECATED DOC- This extension has been re-designed to focus on providing a great experience working with the Azure Machine Learning service. Please check out the latest doc in the [parent folder](..).
 # Train and tune models in Visual Studio Code
 Azure Machine Learning provides support for running experiments locally and on remote compute targets. For every experiment you can keep track of multiple runs as often you will need to iteratively try different techniques, hyperparameters, and more. You can use Azure Machine Learning to track custom metrics and experiment runs, enabling data science reproducibility and auditability.