From 3cdbc376bb712ad992f3e5d691fe3933da5dae9d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?P=C3=A1ll=20Haraldsson?= Date: Mon, 18 May 2020 14:43:22 +0000 Subject: [PATCH] Working example --- README.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index cd8e3d8..4b7caad 100644 --- a/README.md +++ b/README.md @@ -26,8 +26,8 @@ help?> Lathe.stats.mean println(mean) 10 - ``` + ## Features - Pipelines - An ever-expanding library of models for predicting continous features, and soon categorical features. @@ -39,12 +39,13 @@ help?> Lathe.stats.mean - Expandable, dependable, and reliable. Lathe has a big advantage in being written in Julia. Many functions, notably the prediction function utilize Julia's function struct dispatch syntax, allowing end users to quickly modify the function in their environment to make it work for them. This also adds to the long term support, as anyone could develop a model for Lathe, even entirely seperately using Lathe as a code-base to work off of. - Serialization for pipelining, using one prediction function. - A small, and expanding distributions library. + ## Add it! LTS ```julia using Pkg; Pkg.add("Lathe") ``` - Unstable + Unstable (press ] in REPL to go to Pkg mode): ```julia - using Pkg; Pkg.add("Lathe"#Unstable) + (v1.3) pkg> add Lathe#Unstable ```