Upgraded Distributions version 0.23->0.24

[GuillaumeLam]

Ran into a compatibility issue with ReinforcementLearning.jl as shown in: https://www.gitmemory.com/issue/JuliaReinforcementLearning/ReinforcementLearning.jl/301/848546142

Upgrading Distributions.jl to version 0.24 solves this issue so I changed the compact version and test seem to run fine! This change will allow me to use SNN with RL. :)

[SBuercklin]

Hey, thanks for finding a solution to this! If you remove the compat bound entirely, does it still work? The compatibility requirements might be unnecessary, I'll give it a look this afternoon.

[GuillaumeLam]

Hello! The tests and lib seem to all work as indented without the compat bound! Initially, I did not want to change more than necessary.

On a side note about the scope of the lib, I was interested in coding a Liquid State Machine (basically an Echo State Network but with SNN). I am currently coding up a poisson neuron to interpret values from an RL environement. Would this fit in the scope of the WaspNet codebase or would you recommend that I build another library? Thanks again!

[SBuercklin]

If you want to add some neuron types to the core library and have a generic implementation, I think it's worth adding with some tests if possible. I haven't worked on this project in a while, but I'm happy to do some house-cleaning too (like removing the Manifest.toml, that doesn't need to be there). Open some issues if you want to discuss further features and I'll see about working on this when I get the time.

[SBuercklin]

I updated the compat bounds and pushed a new version, v0.1.3. This should address your change.

Thanks for pointing this out, I'll try to get out ahead of CompatHelperBot in the future and merge those branches more promptly.

Release notes here: https://github.com/leaflabs/WaspNet.jl/releases/tag/v0.1.3