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mark to-dos as done.

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NunoSempere 2023-07-24 00:38:28 +02:00
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@ -259,8 +259,6 @@ Overall, I would caution that if you really care about the very far tails of dis
## To do list ## To do list
- [ ] Link to the examples in the examples section. - [ ] Link to the examples in the examples section.
- [ ] Have some more complicated & realistic example
- [ ] Add summarization functions: 90% ci (or all c.i.?)
- [ ] Systematize references - [ ] Systematize references
- [ ] Publish online - [ ] Publish online
- [ ] Support all distribution functions in <https://www.squiggle-language.com/docs/Api/Dist> - [ ] Support all distribution functions in <https://www.squiggle-language.com/docs/Api/Dist>
@ -272,7 +270,7 @@ Overall, I would caution that if you really care about the very far tails of dis
- [x] Add example for many samples - [x] Add example for many samples
- [ ] ~~Add a custom preprocessor to allow simple nested functions that don't rely on local scope?~~ - [ ] ~~Add a custom preprocessor to allow simple nested functions that don't rely on local scope?~~
- [x] Use gcc extension to define functions nested inside main. - [x] Use gcc extension to define functions nested inside main.
- [x] Chain various sample_mixture functions - [x] Chain various `sample_mixture` functions
- [x] Add beta distribution - [x] Add beta distribution
- See <https://stats.stackexchange.com/questions/502146/how-does-numpy-generate-samples-from-a-beta-distribution> for a faster method. - See <https://stats.stackexchange.com/questions/502146/how-does-numpy-generate-samples-from-a-beta-distribution> for a faster method.
- [ ] ~~Use OpenMP for acceleration~~ - [ ] ~~Use OpenMP for acceleration~~
@ -307,4 +305,5 @@ Overall, I would caution that if you really care about the very far tails of dis
- https://github.com/numpy/numpy/blob/5cae51e794d69dd553104099305e9f92db237c53/numpy/random/src/distributions/distributions.c - https://github.com/numpy/numpy/blob/5cae51e794d69dd553104099305e9f92db237c53/numpy/random/src/distributions/distributions.c
- [x] Pontificate about lognormal tests - [x] Pontificate about lognormal tests
- [x] Give warning about sampling-based methods. - [x] Give warning about sampling-based methods.
- [ ] - [x] Have some more complicated & realistic example
- [x] Add summarization functions: 90% ci (or all c.i.?)