From 5a6d82f9d808ea92640e9c411c5cd4a9cc920413 Mon Sep 17 00:00:00 2001 From: Christoph Weisser <50968720+ChrisW09@users.noreply.github.com> Date: Sat, 25 May 2024 11:24:53 +0200 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index df838dc..e371b46 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks. Designed with ease of use in mind, Mambular models adhere to scikit-learn's `BaseEstimator` interface, making them highly compatible with the familiar scikit-learn ecosystem. This means you can fit, predict, and transform using Mambular models just as you would with any traditional scikit-learn model, but with the added performance and flexibility of deep learning. -![Mamba Tabular](https://github.com/basf/mamba-tabular/blob/documentation/Mamba_Tabular_Converted.jpg) +Mamba Tabular ## Features