From b38ea099763e06cadb5a250aff4f8615ed9bbc58 Mon Sep 17 00:00:00 2001 From: Tizian Wenzel <tizian.wenzel@uni-hamburg.de> Date: Sun, 31 Dec 2023 19:18:56 +0100 Subject: [PATCH] Minor update in testfile, updated README. --- README.md | 10 ++++++++++ example_files/01_testfile.py | 20 -------------------- 2 files changed, 10 insertions(+), 20 deletions(-) diff --git a/README.md b/README.md index 2c10b6b..ee8ec5c 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,16 @@ Python implementation of the 2L-VKOGA algorithm, which uses a kernel optimization (two layered kernel) before running VKOGA with the modified kernel. + +## Installation + +pip install git+https://gitlab.mathematik.uni-stuttgart.de/pub/ians-anm/2l-vkoga@v0.1.0 + + +## Usage + +Have a look into the [demo file](https://gitlab.mathematik.uni-stuttgart.de/pub/ians-anm/2l-vkoga/-/blob/main/example_files/01_testfile.py). + ## How to cite: If you use this code in your work for scalar-valued output data, please cite the paper diff --git a/example_files/01_testfile.py b/example_files/01_testfile.py index b8cecc0..9e74061 100644 --- a/example_files/01_testfile.py +++ b/example_files/01_testfile.py @@ -41,26 +41,6 @@ plt.draw() -# Result: Since the training set is quite small, we can clearly observe overfitting via the -# validation set tracking - - - - - - - - - - - - - - - - - - -- GitLab