Update optimization engine guide
@@ -15,7 +15,7 @@ tags:
sidebar: "polyaxon-optimization-engine"
---
-This reference guide assumes that you have already familiarized yourself with the concept of [experiment_groups](/concepts/experiment-groups/).
+This reference guide assumes that you have already familiarized yourself with the concept of [experiment_groups](/concepts/experiment-groups-hyperparameters-optimization/).
## Overview
@@ -33,11 +33,27 @@ All these search algorithms run in an asynchronous way, and support concurrency
Some of these approaches are also iterative and improve based on previous experiments.
+## Features
+
+ * Easy-to-use: Polyaxon's Optimization Engine is a built-in service and can be used easily by adding a `hptuning` section to your polyaxonfiles, uou can start the group both using the CLI and the dashboard.
+ * Scalability: Tuning hyperparameters or neural architecture requires leveraging a large amount of computation resources, using Polyaxon you can run hundreds of trials in parallel and track their progress in an intuitive way.
+ * Flexibility: Besides rich built-in algorithms, Polyaxon allows users to customize various hyperparameter tuning algorithms, neural architecture search algorithms, early stopping algorithms, etc.
+ * Efficiency: We are intensively working on more efficient model tuning from both system level and algorithm level. For example, leveraging early feedback to speedup tuning procedure.
+
+## Workflow
+
+ * Define a search space
+ * Define a search algorithm
+ * Define a model to optimize
+ * Optionally define the concurrency and early stopping.
+
+ ![polyaxon's optimization engine](../../../content/images/references/optimization-engine/polyaxon-optimization-engine.svg)
+
## Algorithms
In order to search a hyperparameter space, all search algorithms require a `hptuning` section,
they also share some subsections such as: `matrix` definition of hyperparameters, `early_stopping`, and `concurrency`.
-Each one of this algorithms has a dedicated subsection to define the required options.
+Each one of these algorithms has a dedicated subsection to define the required options.
* [Grid search](/references/polyaxon-optimization-engine/grid-search/)
* [Random search](/references/polyaxon-optimization-engine/random-search/)
