From 7dcb4581af55f6fc50a295f5812fdcbc3910d8d8 Mon Sep 17 00:00:00 2001 From: BalzaniEdoardo Date: Mon, 25 Nov 2024 11:14:38 -0500 Subject: [PATCH] fixed emojis --- .../plot_05_sklearn_pipeline_cv_demo.md | 3 ++- docs/tutorials/plot_01_current_injection.md | 16 ++++++++-------- 2 files changed, 10 insertions(+), 9 deletions(-) diff --git a/docs/how_to_guide/plot_05_sklearn_pipeline_cv_demo.md b/docs/how_to_guide/plot_05_sklearn_pipeline_cv_demo.md index 572aca9d..7684857c 100644 --- a/docs/how_to_guide/plot_05_sklearn_pipeline_cv_demo.md +++ b/docs/how_to_guide/plot_05_sklearn_pipeline_cv_demo.md @@ -438,7 +438,8 @@ if path.exists(): fig.savefig(path / "plot_05_sklearn_pipeline_cv_demo.svg") ``` -_U+1F680 _U+1F680 _U+1F680 **Success!** _U+1F680 _U+1F680 _U+1F680 +🚀🚀🚀 **Success!** 🚀🚀🚀 + We are now able to capture the distribution of the firing rate appropriately: both peaks and valleys in the spiking activity are matched by our model predicitons. ### Evaluating different bases directly diff --git a/docs/tutorials/plot_01_current_injection.md b/docs/tutorials/plot_01_current_injection.md index a13322a5..70ebac16 100644 --- a/docs/tutorials/plot_01_current_injection.md +++ b/docs/tutorials/plot_01_current_injection.md @@ -444,14 +444,14 @@ following properties: arrays, `numpy` arrays or `pynapple` `TsdFrame`/`Tsd`. :::{admonition} What is jax? -:class: info - - [jax](https://github.com/google/jax) is a Google-supported python library - for automatic differentiation. It has all sorts of neat features, but the - most relevant of which for NeMoS is its GPU-compatibility and - just-in-time compilation (both of which make code faster with little - overhead!), as well as the collection of optimizers present in - [jaxopt](https://jaxopt.github.io/stable/). +:class: note + +[jax](https://github.com/google/jax) is a Google-supported python library +for automatic differentiation. It has all sorts of neat features, but the +most relevant of which for NeMoS is its GPU-compatibility and +just-in-time compilation (both of which make code faster with little +overhead!), as well as the collection of optimizers present in +[jaxopt](https://jaxopt.github.io/stable/). ::: First, we require that our predictors and our spike counts have the same