v3.2.4

Discretizers v3.2.4

Diff since v3.2.3

Closed issues:

• decode of LinearDiscretizer on an array using SampleBinCenter appears to still use SampleUniform (#37)

v3.2.3

Discretizers v3.2.3

Diff since v3.2.2

Merged pull requests:

• Implement quantile binning (#34) (@xukai92)
• Xukai92 kx/quantile - DiscretizeQuantile (#35) (@tawheeler)
• update compat (#36) (@nignatiadis)

Closed issues:

• update datastrucres in project toml (#30)

v3.2.2

Discretizers v3.2.2

Diff since v3.2.1

Merged pull requests:

• support specialfunctions 2.x (#32) (@stevengj)

v3.2.1

Discretizers v3.2.1

Diff since v3.2.0

Closed issues:

• MODL Optimal Binning Does not work with large arrays? (#28)

Merged pull requests:

• Install TagBot as a GitHub Action (#27) (@JuliaTagBot)

v3.2.0

v3.2.0 (2020-01-31)

Diff since v3.1.0

Closed issues:

• What are the dictionaries in LinearDiscretizer for? (#24)
• bincenter(d, i) (#23)
• get_histogram_plot_arrays not working? (#22)

Merged pull requests:

• Removed dictionaries from LinearDiscretizer, added bincenter (#25) (zsunberg)

v3.1.0

v3.1.0 (2019-08-21)

Diff since v3.0.1

Merged pull requests:

• explicitly restrict method params to avoid ambiguities in julia 1.2 (#21) (JeffBezanson)

Julia 0.7-beta2 Release

This release makes Discretizers.jl compatible with julia 0.7 beta 2.

Update for Julia 0.7

New release of Discretizers for Julia 0.7

Faster encoding

Linear discretizer encoding sped up by removing isapprox.
Removing DISC_UNIFORM_ZERO_BIN since it is so ACAS-X specific.
Minor code cleanup.

Update for Julia 0.6

Update for Julia

Dropped support for previous versions.
No longer need Compat.