v0.1.7

EasyHybrid v0.1.7

Diff since v0.1.6

Merged pull requests:

• CompatHelper: bump compat for MLJ to 0.22, (keep existing compat) (#178) (@github-actions[bot])
• update CI, explicit imports and formatter (#183) (@lazarusA)
• more badges (#184) (@lazarusA)
• patch release (#185) (@lazarusA)
• fix compat (#186) (@lazarusA)

Closed issues:

• remove Flux dependency (#180)

v0.1.6

EasyHybrid v0.1.6

Diff since v0.1.5

Merged pull requests:

• generic loss (#163) (@lazarusA)
• best_model_.jld2 wo underscore (#165) (@BernhardAhrens)
• Cleanup research docu and move CUE (#166) (@BernhardAhrens)
• get overview back (#167) (@BernhardAhrens)
• losses (#175) (@lazarusA)
• bump (#176) (@lazarusA)

Closed issues:

• do a more generic loss function (#162)

v0.1.5

EasyHybrid v0.1.5

Diff since v0.1.4

Merged pull requests:

• [wip] starting point for folds (#153) (@BernhardAhrens)
• tests contructHybridModel (#154) (@BernhardAhrens)
• quick fix. did not like the file names (?) (#155) (@BernhardAhrens)
• Ba/fix hyperopt plots (#156) (@BernhardAhrens)
• changelog (#159) (@BernhardAhrens)
• 0.1.5 (#161) (@BernhardAhrens)

Closed issues:

• hyper parameter optim save error (#148)

v0.1.4

EasyHybrid v0.1.4

Diff since v0.1.3

Merged pull requests:

• custom output folder (#134) (@lazarusA)
• forward run of hybrid model, parallel script (#135) (@BernhardAhrens)
• fix (#137) (@BernhardAhrens)
• dispatch on DD (#140) (@lazarusA)
• move to SOC_PBM own repo (#143) (@BernhardAhrens)
• fixes abspath io (#144) (@lazarusA)
• fix prepare data, and add k-folds support (#146) (@lazarusA)
• forward model run still goes into EasyHybrid (#147) (@BernhardAhrens)
• minimal slurm (#149) (@lazarusA)
• changelog (#150) (@BernhardAhrens)
• 0.1.4 (#151) (@BernhardAhrens)
• add name to best model (#152) (@lazarusA)

Closed issues:

• spatial inputs and automatic differentiation (#139)
• prepare data + splits for DD (#145)

v0.1.3

EasyHybrid v0.1.3

Diff since v0.1.2

Merged pull requests:

• move project CUE_CN to own repo (#128) (@BernhardAhrens)
• fix prepare_data for when you input a Dataframe with NaNs or missing (#129) (@BernhardAhrens)
• subsample for trainboard fixed (#130) (@BernhardAhrens)
• example for Ellis summerschool (#131) (@BernhardAhrens)
• legend for quantiles in neural parameters (#132) (@BernhardAhrens)
• changelog and bump (#133) (@BernhardAhrens)

v0.1.2

EasyHybrid v0.1.2

Diff since v0.1.1

Merged pull requests:

• Hyperparameter tuning with Hyperopt.jl (#109) (@BernhardAhrens)
• stable badge (#121) (@lazarusA)
• CompatHelper: bump compat for JLD2 to 0.6, (keep existing compat) (#122) (@github-actions[bot])
• monthly downloads badge (#124) (@lazarusA)
• update projects (#125) (@BernhardAhrens)
• heading and Hyperopt reference (#126) (@BernhardAhrens)
• changelog and bump (#127) (@lazarusA)

Closed issues:

• train, validation, test split and hyperparameter tuning (#57)

v0.1.1

EasyHybrid v0.1.1

Diff since v0.1.0

Merged pull requests:

• target and update readme (#119) (@lazarusA)
• bump (#120) (@lazarusA)

v0.1.0

EasyHybrid v0.1.0