From 45f324efd29bef36bf77fdfec747d2aaf6b67fc0 Mon Sep 17 00:00:00 2001 From: GilesStrong Date: Mon, 10 Feb 2020 11:18:38 +0000 Subject: [PATCH] data format description update --- README.md | 2 +- docs/source/description.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 2303158..5b9e811 100644 --- a/README.md +++ b/README.md @@ -152,7 +152,7 @@ LUMIN aims to provides the best of both, Keras-style sample weighting and fastai ### Data types -LUMIN is primarily designed for use on columnar data. With some extra work it can be used on other data formats, but at the moment it has nothing special to offer. Whilst recent work in HEP has made use of jet images and GANs, these normally hijack existing ideas and models. Perhaps once we get established, domain specific approaches which necessitate the use of a specialised framework, then LUMIN could grow to meet those demands, but for now I'd recommend checking out the fastai library, especially for image data. +LUMIN is primarily designed for use on columnar data, and from version 0.5 onwards this also includes *matrix data*; ordered series and un-ordered groups of objects. With some extra work it can be used on other data formats, but at the moment it has nothing special to offer. Whilst recent work in HEP has made use of jet images and GANs, these normally hijack existing ideas and models. Perhaps once we get established, domain specific approaches which necessitate the use of a specialised framework, then LUMIN could grow to meet those demands, but for now I'd recommend checking out the fastai library, especially for image data. With just one main developer, I'm simply focussing on the data types and applications I need for my own research and common use cases in HEP. If, however you would like to use LUMIN's other methods for your own work on other data formats, then you are most welcome to contribute and help to grow LUMIN to better meet the needs of the scientific community. diff --git a/docs/source/description.md b/docs/source/description.md index c532fb0..c0625c0 100644 --- a/docs/source/description.md +++ b/docs/source/description.md @@ -131,7 +131,7 @@ LUMIN aims to provides the best of both, Keras-style sample weighting and fastai ### Data types -LUMIN is primarily designed for use on columnar data. With some extra work it can be used on other data formats, but at the moment it has nothing special to offer. Whilst recent work in HEP has made use of jet images and GANs, these normally hijack existing ideas and models. Perhaps once we get established, domain specific approaches which necessitate the use of a specialised framework, then LUMIN could grow to meet those demands, but for now I'd recommend checking out the fastai library, especially for image data. +LUMIN is primarily designed for use on columnar data, and from version 0.5 onwards this also includes *matrix data*; ordered series and un-ordered groups of objects. With some extra work it can be used on other data formats, but at the moment it has nothing special to offer. Whilst recent work in HEP has made use of jet images and GANs, these normally hijack existing ideas and models. Perhaps once we get established, domain specific approaches which necessitate the use of a specialised framework, then LUMIN could grow to meet those demands, but for now I'd recommend checking out the fastai library, especially for image data. With just one main developer, I'm simply focussing on the data types and applications I need for my own research and common use cases in HEP. If, however you would like to use LUMIN's other methods for your own work on other data formats, then you are most welcome to contribute and help to grow LUMIN to better meet the needs of the scientific community.