From 67dd426c8d8eb9ba8085386532ea24e226396063 Mon Sep 17 00:00:00 2001 From: Diane Napolitano Date: Wed, 31 Jan 2024 14:38:10 -0500 Subject: [PATCH] Capitalizing the 'm' in the section header --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c56c8f6..51125a2 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,7 @@ We have our own implementation of ordinary least squares in Python because this ## Quantile Regression Since we did not find any implementations of quantile regression in Python that fit our needs, we decided to write one ourselves. At the moment this uses two libraries, the version that solves the non-regularized problem uses `numpy`and solves the dual based on [this](https://arxiv.org/pdf/2305.12616.pdf) paper. The version that solves the regularized problem uses [`cvxpy`](https://www.cvxpy.org/#) and sets up the problem as a normal optimization problem. Eventually, we are planning on replacing the regularized version with the dual also. -## Transition matrices +## Transition Matrices We have three solvers for transition matrices: 1. A matrix regression solver built using `cvxpy`;