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 # Katib 2020 Roadmap
 
-This document provides a high level view of where Katib will grow in 2020. 
+## New Features
 
-The original Katib design document can be found [here](https://docs.google.com/document/d/1ZEKhou4z1utFTOgjzhSsnvysJFNEJmygllgDCBnYvm8/edit#heading=h.7fzqir88ovr).
+- Support Early Stopping [#692](https://github.com/kubeflow/katib/issues/692)
+- Support Advanced NAS Algorithms like DARTs, ProxylessNAS [#461](https://github.com/kubeflow/katib/issues/461)
+- Support Auto Model Compression [#460](https://github.com/kubeflow/katib/issues/460)
+- Support Auto Feature Engineering [#475](https://github.com/kubeflow/katib/issues/475)
 
-# Katib 1.0 Readiness
+## Enhancements
 
-* Stabilize APIs for Experiments
-	* Reconsider the design of Trial Template [#906](https://github.com/kubeflow/katib/issues/906)
-	* Early Stopping [#692](https://github.com/kubeflow/katib/issues/692)
-	* Resuming Experiment [#1061](https://github.com/kubeflow/katib/issues/1061), [#1062](https://github.com/kubeflow/katib/issues/1062)
-* Fully integrate Katib with existing E2E examples:
-	* Xgboost
-	* Mnist
-	* GitHub issue summarization
-* Publish API documentation, best practices, tutorials
-* [Issues list](https://github.com/kubeflow/katib/issues)
-
-# Enhance HP Tuning Experience
-
-The objectives here are organized around the three stages defined in the CUJ:
-
-## 1. Defining Model and Parameters
-
-Integration with KF distributed training components
-* TFJob
-* PyTorch
-* Allow Katib to support other operator types generically [#341](https://github.com/kubeflow/katib/issues/341)
-
-## 2. Configuring a Experiment
-* Supporting additional suggestion algorithms [#15](https://github.com/kubeflow/katib/issues/15)
-
-## 3. Tracking Model Performance
-* UI enhancements: allowing data scientists to visualize results easier
-* Support for persistent model and metadata storage
-	* Ideally users should be able to export and reuse trained models from a common storage
-
-# Test and Release Infrastructure
-
-* Improve e2e test coverage
-* Improve test harness
-* Enhance release process; adding automation (see https://bit.ly/2F7o4gM) 
+- Delete Suggestion deployment after Experiment is finished [#1061](https://github.com/kubeflow/katib/issues/1061)
+- Save Suggestion state after deployment is deleted [#1062](https://github.com/kubeflow/katib/issues/1062)
+- Reconsider the design of Trial Template [#906](https://github.com/kubeflow/katib/issues/906)
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