From 36df4a48b0a441c548128bcf4f8a7cc3111abb12 Mon Sep 17 00:00:00 2001 From: Baptiste Bauvin <baptiste.bauvin@lis-lab.fr> Date: Mon, 6 Apr 2020 16:02:58 -0400 Subject: [PATCH] Updated gitlab and readme --- .gitlab-ci.yml | 6 +++--- README.md | 4 +++- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 9b7cabb1..c1b6126c 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -1,6 +1,6 @@ # run the test suite tests: - image: registry.gitlab.lis-lab.fr:5005/baptiste.bauvin/multiview-machine-learning-omis/ubuntu:18.04 + image: registry.gitlab.lis-lab.fr:5005/baptiste.bauvin/summit/ubuntu:18.04 tags: - docker script: @@ -9,7 +9,7 @@ tests: # generate the documentation doc: - image: registry.gitlab.lis-lab.fr:5005/baptiste.bauvin/multiview-machine-learning-omis/ubuntu:18.04 + image: registry.gitlab.lis-lab.fr:5005/baptiste.bauvin/summit/ubuntu:18.04 tags: - docker only: @@ -30,7 +30,7 @@ doc: # project public pages: - image: registry.gitlab.lis-lab.fr:5005/baptiste.bauvin/multiview-machine-learning-omis/ubuntu:18.04 + image: registry.gitlab.lis-lab.fr:5005/baptiste.bauvin/summit/ubuntu:18.04 tags: - docker only: diff --git a/README.md b/README.md index f81e8d36..caf5732d 100644 --- a/README.md +++ b/README.md @@ -71,6 +71,7 @@ For further information about classifier-specific arguments, see the [documentat In order to start a benchmark on your own dataset, you need to format it so SuMMIT can use it. ##### If you already have an HDF5 dataset file it must be formatted as : + * One dataset for each view called `ViewI` with `I` being the view index with 2 attribures : * `attrs["name"]` a string for the name of the view * `attrs["sparse"]` a boolean specifying whether the view is sparse or not (WIP) @@ -79,6 +80,7 @@ In order to start a benchmark on your own dataset, you need to format it so SuMM * One dataset for the labels called `Labels` with one attribute : * `attrs["names"]` a list of strings encoded in utf-8 naming the labels in the right order + * One group for the additional data called `Metadata` containing at least 1 dataset : * `"example_ids"`, a numpy array of type `S100`, with the ids of the examples in the right order * And three attributes : @@ -108,4 +110,4 @@ It is highly recommended to follow the documentation's [tutorials](http://baptis ### Contributors * **Dominique BENIELLI** -* **Alexis PROD'HOMME** \ No newline at end of file +* **Alexis PROD'HOMME** -- GitLab