Comments (2)
You likely want to set strict = true
in the makedocs
function. This should cause the failure to be visible (rather than silent).
from mlj.jl.
Thanks for the suggestion. Sadly, we have that already, no?
from mlj.jl.
Related Issues (20)
- `evaluate` errors HOT 3
- Add AutoEncoderMLJ model (part of BetaML) HOT 10
- need a tutorial for using logger with dagshub and mlflow HOT 4
- Document how to add plot recipes in a new model implementation HOT 4
- Add new model descriptors to fix doc-generation fail HOT 1
- Two models fail integration tests but defy isolation
- Update list of BetaML models HOT 1
- Reinstate CatBoost integraton test
- Upate ROADMAP.md HOT 1
- Improve documentation by additional hierarchy HOT 5
- Include support for MixedModels.jl HOT 2
- Deserialisation fails for wrappers like `TunedModel` when atomic model overloads `save/restore` HOT 2
- feature_importances for Pipeline including XGBoost don't work HOT 2
- Current performance evaluation objects, recently added to TunedModel histories, are too big HOT 2
- Update cheat sheet instance of depracated `@from_network` code
- Requesting better exposure to MLJFlux in the model browser HOT 2
- Reexport `CompactPerformanceEvaluation` and `InSample`
- Remove `info(rms)` from the cheatsheet HOT 4
- Re-instate integration tests for scikit-learn models
- [tracking] Add default logger to MLJ
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from mlj.jl.