Patrick Altmeyer

Feature request: Can `makedocs()` accept .html files instead of .md files?

4

This may be a long shot, but I'm wondering if it would be possible to let `makedocs()` accept self-contained .html files instead of only .md files. I'm working on the...

Import fails with `protobuf>3.20.x`

8

Hi there, Not sure if this is expected, but importing CARLA fails when `protobuf>3.20.x` is installed (see below). I've tried various default [pyenv](https://github.com/pyenv/pyenv) version (3.7.x) and they all shipped with...

`test_cfmodel.py` cause segmentation fault on MacOS

1

Hi there, I've been following the [contributor's guide](https://carla-counterfactual-and-recourse-library.readthedocs.io/en/latest/installation.html#contributing) and started off by running tests locally before modifying the code in any way. I'm getting the following error: ```zsh (env) (base)...

Hi Dean, when adding a busy spinner to my app, which also uses `waiter::use_waiter()` from the related package, I noted that the `height` and `width` arguments no longer seem to...

Getting and error here: ```shell 5) CounterfactualExplanation(; x::Matrix, target::Int64, data::CounterfactualData, M::LogisticModel, │ │ generator::GenericGenerator, T::Int64, │ │ latent_space::Nothing, num_counterfactuals::Int64, initialization::Symbol, │ │ generative_model_params::NamedTuple {#FFF59D}(), Tuple}) │ │ ──── In module...

**long-term goal** Interoperability with torch models trained in R or Python is an experimental feature and has always to some extent been unstable (see [here](https://www.paltmeyer.com/CounterfactualExplanations.jl/stable/tutorials/interop/)). It used to work well...

Interface to `<: Supervised` MLJ models

1

*This is an issue reserved for the [TU Delft Student Software Project '23](https://github.com/orgs/JuliaTrustworthyAI/projects/4)* [MLJ](https://alan-turing-institute.github.io/MLJ.jl/dev/) is a popular machine learning framework for Julia. It ships with a large suite of common...

Currently categorical variables need to be encoded before being fed to `CounterfactualData()`. Add native support following MLJ paradigm leveraging [`ScientifTypes`](https://juliaai.github.io/ScientificTypes.jl/dev/).

Trying ... ```julia # Data: using CounterfactualExplanations, Random Random.seed!(1234) N = 100 # number of data points xs, ys = toy_data_linear(N) X = hcat(xs...) counterfactual_data = CounterfactualData(X,ys') # Model: using...

The goal for this package is to seamlessly interact with [MLJ](https://alan-turing-institute.github.io/MLJ.jl/dev/). To that end all conformal models implement the compulsory `MMI.fit` and `MMI.predict` methods (following guidelines set out [here](https://alan-turing-institute.github.io/MLJ.jl/dev/adding_models_for_general_use/)). With...