From e433d582938de0e6c3d84544b99aba7088dd0e0d Mon Sep 17 00:00:00 2001 From: Christian Donnerer Date: Sat, 15 Apr 2023 16:29:11 +0100 Subject: [PATCH] cutting more words --- README.rst | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/README.rst b/README.rst index 3f24f6f..a1eb3af 100644 --- a/README.rst +++ b/README.rst @@ -96,11 +96,11 @@ NGBoost performance comparison ``XGBDistribution`` follows the method shown in the `NGBoost`_ library, using natural gradients to estimate the parameters of the distribution. -Below, we show a performance comparison of ``XGBDistribution`` with the `NGBoost`_ +Below, we show a performance comparison of ``XGBDistribution`` and the `NGBoost`_ ``NGBRegressor``, using the Boston Housing dataset, estimating normal distributions. -We note that while the performance of the two models is essentially identical (measured -on negative log-likelihood of a normal distribution and the RMSE), ``XGBDistribution`` -is **30x faster** (timed on both fit and predict steps): +While the performance of the two models is essentially identical (measured on negative +log-likelihood of a normal distribution and the RMSE), ``XGBDistribution`` is + **30x faster** (timed on both fit and predict steps): .. image:: https://raw.githubusercontent.com/CDonnerer/xgboost-distribution/main/imgs/performance_comparison.png :align: center @@ -108,8 +108,7 @@ is **30x faster** (timed on both fit and predict steps): :alt: XGBDistribution vs NGBoost -Please see the `experiments page`_ in the documentation for detailed results across -various datasets. +Please see the `experiments page`_ for results across various datasets. Full XGBoost features