From 4faaa2af47d562965b685ad7405c812d27ccb099 Mon Sep 17 00:00:00 2001 From: Matt Seddon Date: Tue, 11 Oct 2022 12:27:56 +1100 Subject: [PATCH] Remove stale developer roadmap from README --- README.md | 52 ++-------------------------------------------------- 1 file changed, 2 insertions(+), 50 deletions(-) diff --git a/README.md b/README.md index 85087fe1c6..b8d7ece84a 100644 --- a/README.md +++ b/README.md @@ -13,8 +13,8 @@ [Quick start](#quick-start) • [What you get](#what-you-get) • [Commands](#useful-commands) • [Configuration](#configuration) • -[Roadmap](#developer-roadmap) • [Debugging](#debugging) • -[Contributing](#contributing) • [Telemetry](#data-and-telemetry) +[Debugging](#debugging) • [Contributing](#contributing) • +[Telemetry](#data-and-telemetry) Run, compare, visualize, and track machine learning experiments right in VS Code. This extension uses [DVC](https://dvc.org/), an open-source data @@ -164,54 +164,6 @@ These are the VS Code [settings] available for the Extension: [workspace level]: https://code.visualstudio.com/docs/getstarted/settings#_workspace-settings -## Developer roadmap - -We are working on increasing the quantity and quality of DVC features supported -by this GUI. Remember that you can always use `dvc` commands from the -_Integrated Terminal_! - -- **DVC metafile editor** (2022 Q3) Wouldn't it be cool to manage stages, - parameters, metrics, data and model paths, and other metadata in-place inside - corresponding [DVC metafiles]? E.g. `dvc.yaml` and `.dvc` files, param or - metrics files, even `dvc.lock` - -- **More and better plots!** (2022 Q3) - DVC Experiment comparison is easier with interactive [parallel coordinate - plots], which can be generated from command line with `dvc exp show --pcp`. We - plan to incorporate that and brand new IDE-exclusive plots! (TBD) - -- **Performance improvements** (2022 Q3) - Our extension will be faster and more reliable with better internal usage of - DVC and more efficient data management. - -- **ML pipelines** (2022 Q4) - The extension examines [`dvc.yaml` files] to identify tracked data and - changes, but it does not currently provide a graphic interface to write or - modify stages. - -- **Remote execution** (2022 Q4) - DVC Experiments can be run in remote environments. We intend to integrate this - with VS Code's robust [remote development] features. - -- **Data registry** (2022 Q4) - DVC [data registries] can help you centralize and secure data management - across all your ML projects. You'll be able to construct and handle them right - from the IDE. - -- **More tools from Iterative.ai** (2023) - Expect this extension to become a full-fledged suite for the ecosystem of - tools from Iterative, such as [CML](https://cml.dev/), - [MLEM](https://mlem.ai/) + [GTO](https://github.com/iterative/gto) **model - registry** management, and future surprises! (TBD) - -[dvc metafiles]: https://dvc.org/doc/user-guide/project-structure -[parallel coordinate plots]: - https://dvc.org/doc/user-guide/experiment-management/comparing-experiments#parallel-coordinates-plot -[`dvc.yaml` files]: - https://dvc.org/doc/user-guide/project-structure/pipelines-files -[remote development]: https://code.visualstudio.com/docs/remote/remote-overview -[data registries]: https://dvc.org/doc/use-cases/data-registry - ## Debugging ### The DVC Extension