From 9ff106310e0bdc980aee6920f281a80d09b33e7f Mon Sep 17 00:00:00 2001 From: Josh Gardner Date: Wed, 13 Dec 2023 23:11:48 -0600 Subject: [PATCH] Update benchmarking_guide.md --- benchmarking_guide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/benchmarking_guide.md b/benchmarking_guide.md index ec6f32be17..9036d88b00 100644 --- a/benchmarking_guide.md +++ b/benchmarking_guide.md @@ -2,7 +2,7 @@ `tableshift` seeks to support a wide range of supervised learning algorithms. Benchmark data is available in a variety of formats used by common learning frameworks (Pandas `DataFrame`s, Torch `DataLoader`s, and even Ray Datasets) and is serializable to disk so that preprocessing need only happen once. -This page provides a walkthrough for bennchmarking an algorithm on the TableShift benchmark. +This page provides a walkthrough for benchmarking an algorithm on the TableShift benchmark. ## Setup