From 5c549fd84b2b1396e4f9a9128399f94a7a68d366 Mon Sep 17 00:00:00 2001 From: Richard Liaw Date: Thu, 26 Sep 2019 15:36:56 -0700 Subject: [PATCH] [docs] Make slack more prominent (#5792) Co-Authored-By: Edward Oakes --- doc/source/index.rst | 3 +++ doc/source/tune-tutorial.rst | 2 ++ doc/source/tune-usage.rst | 2 ++ doc/source/tune.rst | 2 +- 4 files changed, 8 insertions(+), 1 deletion(-) diff --git a/doc/source/index.rst b/doc/source/index.rst index d9e1a5736..b12659afc 100644 --- a/doc/source/index.rst +++ b/doc/source/index.rst @@ -11,6 +11,8 @@ Ray **Ray is a fast and simple framework for building and running distributed applications.** +.. tip:: Join our `community slack `_ to discuss Ray! + Ray is packaged with the following libraries for accelerating machine learning workloads: - `Tune`_: Scalable Hyperparameter Tuning @@ -24,6 +26,7 @@ View the `codebase on GitHub`_. .. _`codebase on GitHub`: https://github.com/ray-project/ray + Quick Start ----------- diff --git a/doc/source/tune-tutorial.rst b/doc/source/tune-tutorial.rst index a5a90cae9..a53d301cb 100644 --- a/doc/source/tune-tutorial.rst +++ b/doc/source/tune-tutorial.rst @@ -1,6 +1,8 @@ Tune Walkthrough ================ +.. tip:: Help make Tune better by taking our 3 minute `Ray Tune User Survey `_! + This tutorial will walk you through the following process to setup a Tune experiment. Specifically, we'll leverage ASHA and Bayesian Optimization (via HyperOpt) via the following steps: 1. Integrating Tune into your workflow diff --git a/doc/source/tune-usage.rst b/doc/source/tune-usage.rst index 2a6bcf2eb..bc9589ec0 100644 --- a/doc/source/tune-usage.rst +++ b/doc/source/tune-usage.rst @@ -1,6 +1,8 @@ Tune User Guide =============== +.. tip:: Help make Tune better by taking our 3 minute `Ray Tune User Survey `_! + Tune Overview ------------- diff --git a/doc/source/tune.rst b/doc/source/tune.rst index 278b1f47b..d2484d25a 100644 --- a/doc/source/tune.rst +++ b/doc/source/tune.rst @@ -1,7 +1,7 @@ Tune: A Scalable Hyperparameter Tuning Library ============================================== -.. important:: Take the `2019 Ray Tune User Survey `_ and show us your Tune project! +.. tip:: Help make Tune better by taking our 3 minute `Ray Tune User Survey `_! .. image:: images/tune.png :scale: 30%