v0.5.0

MLJLinearModels v0.5.0

Diff since v0.4.0

Closed issues:

• Don't expose multiclass and nclasses (#76)

Merged pull requests:

• Univariate Finite 2 (#77) (@tlienart)

v0.4.0

MLJLinearModels v0.4.0

Diff since v0.3.6

Merged pull requests:

• proper level checks (#73) (@tlienart)

v0.3.6

MLJLinearModels v0.3.6

Diff since v0.3.5

v0.3.5

MLJLinearModels v0.3.5

Diff since v0.3.4

v0.3.4

MLJLinearModels v0.3.4

Diff since v0.3.3

Closed issues:

• throw error much ealier for LogisticClassifier (#71)

v0.3.3

MLJLinearModels v0.3.3

Diff since v0.3.2

Closed issues:

• Bump [compat] MLJModelInterface="^0.1,^0.2" (#55)
• possible test failure in upcoming Julia version 1.5 (#59)
• Move away from global pointers in order to be threadsafe (#64)
• Hoist all allocations out of factory (#68)
• schema(X) fails (#69)

Merged pull requests:

• coef names (#61) (@aviatesk)
• Cleanup (#62) (@tlienart)
• Dev (#63) (@tlienart)
• Nocheck (#65) (@tlienart)
• removing all global pointers (#67) (@tlienart)
• Noscratch2 (#70) (@tlienart)

v0.3.2

MLJLinearModels v0.3.2

• Resolve robust regression issue (JuliaAI/MLJ.jl#401)

• Update [compat] MLJModelInterface ="^0.1, ^0.2"

Diff since v0.3.1

Merged pull requests:

• Remove tables compat (#53) (@tlienart)
• bump [compat] MLJModelInterface = "^0.1,^0.2" (#56) (@ablaom)
• For O.3.2 release (#57) (@ablaom)

v0.3.1

MLJLinearModels v0.3.1

Diff since v0.3.0

Merged pull requests:

• Remove tables compat (#53) (@tlienart)

v0.3.0

v0.3.0 (2020-02-07)

Diff since v0.2.4

Closed issues:

• Example of logistic regression (#46)

Merged pull requests:

• Using the Light Interface (#51) (tlienart)

v0.2.4

v0.2.4 (2019-12-27)

Diff since v0.2.3

Closed issues:

• Add possibility to take symbols to match sklearn (#43)

Merged pull requests:

• Symstr (#45) (tlienart)