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Issues: JuliaAI/MLJLinearModels.jl

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#97 by ablaom was closed Aug 10, 2021
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Issues list

API to construct MLJ-proper model from standalone model
#159 opened Apr 1, 2024 by adienes
3
multiobjective OLS
#157 opened Mar 5, 2024 by adienes
Hardcoding of Float64 in loss
#156 opened Feb 28, 2024 by MartinuzziFrancesco
1
generalized / group lasso
#153 opened Oct 3, 2023 by adienes
1
box (or just positive) constraints on enet OLS
#152 opened Oct 3, 2023 by adienes
4
Expand docs to include cut and past examples for different Regressors
#150 opened Aug 31, 2023 by alex-s-gardner
3
Add MLJTestInterface tests
#142 opened Feb 1, 2023 by ablaom
Test proxgrad with gamma=0
#140 opened Feb 1, 2023 by tlienart
1
Add MLJ compliant doc strings to all models
#135 opened Jan 20, 2023 by ablaom
Ncvreg wrapper
#127 opened Sep 12, 2022 by azev77
1
Docs for L1+std documentation Improvements or additions to documentation
#117 opened Mar 8, 2022 by tlienart
1
Use AverageLoss enhancement New feature or request
#110 opened Jan 10, 2022 by tlienart
Comparingfit! and evaluate! for LogisticClassifier with scikit-learn
#98 opened May 22, 2021 by irublev
12
Example usage
#87 opened Dec 29, 2020 by jaraheel
Other package (R) with Adaptive Lasso and SCAD that may be of use
#75 opened May 24, 2020 by kbjarnason
1
Add benchmarks
#72 opened May 18, 2020 by tlienart
Use fghv! in Hv! for MultinomialLoss performances
#66 opened May 12, 2020 by tlienart
Feature Requests
#54 opened Mar 2, 2020 by azev77
3
Expose more of iterativesolvers' options (eg LMSR, LSQR, etc)
#49 opened Jan 20, 2020 by tlienart
SGJ comment
#48 opened Jan 17, 2020 by tlienart
Allow rng keyword as alias to seed
#47 opened Jan 5, 2020 by tlienart
Cyanure (Python)
#41 opened Dec 19, 2019 by tlienart
add possibility to specify qr/chol in analytical
#38 opened Nov 21, 2019 by tlienart
LOOCV / GCV for ridge / logistic API enhancement New feature or request high priority
#36 opened Nov 13, 2019 by tlienart
Fwd / Backward selection + regression metrics
#35 opened Nov 12, 2019 by tlienart
ProTip! Adding no:label will show everything without a label.