v0.7.0

v0.7.0 (2019-09-05)

Diff since v0.6.0

Closed issues:

• Docs link is broken. (#104)
• transform(kpca) returns error (#96)
• Change warn to at-warn for Julia 1.0 compatibility (#91)
• SubspaceLDA not working for Float32 data (#89)
• standardize data before pca (#86)
• DomainError for FactorAnalysis (#81)
• Support for custom covariance estimation methods (#80)
• The example for multivariate linear regression in the docs does not work. (#79)
• JuliaBox Package unresolved (#78)
• the PCA input X shape should be (n, d) rather than (d, n) (#77)
• Package compatibility caps (#74)
• 1.0.0 release? (#73)
• deprecation warnings are still there in v0.5.0 (#72)
• no method match fit while running PCA (#71)
• Returning eigenvalues from classical_mds? (#60)
• Implement PCoA (principal coordinate analysis) (#58)
• Make CCA take a type parameter (#53)
• Any plans for stress evaluation of MDS? (#51)

Merged pull requests:

• Bump minor release (#106) (rofinn)
• Delete link to pkg.julialang.org and move docs to the top (#105) (oxinabox)
• Remove mention of DimensionalityReduction.jl (#103) (nalimilan)
• stop using DataArray for conversion (#101) (tk3369)
• KPCA: Optimize an embedding calculation (#99) (wildart)
• KPCA: throw proper error in transform\(M\) (#97) (wildart)
• Fix subspace LDA input type errors (#93) (wildart)
• cmds: change warn to at-warn for Julia 1.0+ compatibility (#92) (nico202)
• New MDS API (#85) (wildart)
• Support for custom covariance estimation algorithms in LDA (#84) (mateuszbaran)
• Add testsets (#83) (wildart)
• Minor type & logging fixes (#82) (wildart)
• Fixed CCA type constraints (#76) (wildart)
• Various ICA fixes (#75) (wildart)