v0.2.3

KnetNLPModels v0.2.3

Diff since v0.2.2

Closed issues:

• Fix deprecation warning (#30)

Merged pull requests:

• Fix deprecated warnings (#72) (@paraynaud)
• Fix GPU's gradient! (#74) (@paraynaud)
• v0.2.3 (#76) (@paraynaud)

v0.2.2

KnetNLPModels v0.2.2

Diff since v0.2.1

Closed issues:

• add [target] to Project.toml (#42)
• DOI badge points to Krylov.jl (#46)

Merged pull requests:

• Add discussion (#53) (@paraynaud)
• Add [extras] + [targets] (#55) (@paraynaud)
• Fix citation (#56) (@paraynaud)
• Created a minibatch iterator selection function (#57) (@farhadrclass)
• Bump to NLPModels 0.20 (#61) (@tmigot)
• Online edits (#63) (@farhadrclass)
• Remove KnetNLPModels.Chain (#64) (@paraynaud)
• Update paper.md (#65) (@farhadrclass)
• dpo pass (#66) (@dpo)
• Update paper.md (#68) (@farhadrclass)
• Move KnetNLPModel example from JOSS (#69) (@paraynaud)
• Update paper.md (#70) (@farhadrclass)
• Release JOSS paper (#71) (@paraynaud)

v0.2.1

KnetNLPModels v0.2.1

Diff since v0.2.0

Closed issues:

• Issue with docstring of accuracy function (#33)

Merged pull requests:

• Change minibatch_ field names (#34) (@paraynaud)
• Update accuracy doc (#36) (@dpo)
• Executable tutorial (#38) (@paraynaud)
• Delete .cirrus.yml (#39) (@dpo)
• Update README.md (#40) (@dpo)
• use push_preview = true in docs deploy (#41) (@dpo)
• Bug on minibatch dimension fixed (#43) (@nathanemac)
• DOI badge (#48) (@dpo)
• Update CITATION.bib (#49) (@dpo)
• Bump to NLPModels 0.19 (#50) (@tmigot)
• Update Project.toml (#51) (@paraynaud)

Release to obtain DOI only

v0.2.0b

fix bug on minibatch dimension

v0.2.0

KnetNLPModels v0.2.0

Diff since v0.1.0

Closed issues:

• Register KnetNLPModels.jl (#23)

Merged pull requests:

• v0.2.0 (#32) (@paraynaud)

v0.1.0

KnetNLPModels v0.1.0

Closed issues:

• Remove travis.yml (#2)
• Need dep versions in Project.toml (#3)
• Add description to README (#4)
• Write tutorial (#5)
• Remove src/todo.md (#6)
• Rename as KnetNLPModels? (#7)

Merged pull requests:

• commit begore push to atlas (#8) (@paraynaud)
• modif tutorial, ajout autour des variables (#9) (@paraynaud)
• change of the minibatch's management (#12) (@paraynaud)
• first pass on the module (#14) (@paraynaud)
• fix paraynaud/KnetNLPModels.jl to JuliaSmoothOptimizers/KnetLNPModels… (#20) (@paraynaud)
• v0.1.0 Project.toml (#22) (@paraynaud)
• change uuid in Project.toml (#24) (@paraynaud)
• Fix auto registration dependencies (#25) (@paraynaud)