added performance tips, added indication about gp in v0.9

SciML · Dec 23, 2022 · 7109779 · 7109779
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commit 7109779
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diff --git a/docs/src/index.md b/docs/src/index.md
@@ -25,7 +25,7 @@ The support for this library is for Julia v1.6 or greater.
 This library provides multiple ways of training the chosen RC model. More specifically the available algorithms are:
 - ```StandardRidge```: a naive implementation of Ridge Regression. The default choice for training.
 - ```LinearModel```: a wrap around [MLJLinearModels](https://juliaai.github.io/MLJLinearModels.jl/stable/).
-- ```GaussianProcess```: a wrap around [GaussianProcesses](http://stor-i.github.io/GaussianProcesses.jl/latest/).
+- ```GaussianProcess```: a wrap around [GaussianProcesses](http://stor-i.github.io/GaussianProcesses.jl/latest/). Currently not available in version 0.9.0. Alternatives are being explored
 - ```LIBSVM.AbstractSVR```: a direct call of [LIBSVM](https://github.com/JuliaML/LIBSVM.jl) regression methods.
 
 Also provided are two different ways of doing predictions using RC: