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xiaodaigh / JLBoost.jl

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
MIT License
72 stars 6 forks source link

DataFrames 0.20 #36

Closed xgdgsc closed 4 years ago

xgdgsc commented 4 years ago 
(v1.3) pkg> add https://github.com/xiaodaigh/JLBoost.jl
  Updating git-repo `https://github.com/xiaodaigh/JLBoost.jl`
  Updating git-repo `https://github.com/xiaodaigh/JLBoost.jl`
 Resolving package versions...
ERROR: Unsatisfiable requirements detected for package DataFrames [a93c6f00]:
 DataFrames [a93c6f00] log:
 ├─possible versions are: [0.11.7, 0.12.0, 0.13.0-0.13.1, 0.14.0-0.14.1, 0.15.0-0.15.2, 0.16.0, 0.17.0-0.17.1, 0.18.0-0.18.4, 0.19.0-0.19.4, 0.20.0] or uninstalled
 ├─restricted to versions 0.19 by JLBoost [13d6d4a1], leaving only versions 0.19.0-0.19.4
 │ └─JLBoost [13d6d4a1] log:
 │   ├─possible versions are: 0.1.3 or uninstalled
 │   └─JLBoost [13d6d4a1] is fixed to version 0.1.3
 └─restricted to versions 0.20.0 by an explicit requirement — no versions left
xiaodaigh commented 4 years ago

fixed by https://github.com/JuliaRegistries/General/pull/6468

You should be able to install JLBoost v1.3 later today or tomorrow and have DataFrames.jl v0.20 support

xgdgsc commented 4 years ago

Thanks. MLJJLBoost also?

xiaodaigh commented 4 years ago

MLJJLBoost

See https://github.com/JuliaRegistries/General/pull/6566

If no hiccup should be ready today or tomorrow.

Just a note, I am actively developing these and you may have noticed that i haven't started to market them too much yet because there are still many missing features, so I am just going to get them done before publicising. Publishing them is to make the testing and publishing process easier