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Tags: xiaodaigh/JLBoost.jl

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v0.1.20

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[Diff since v0.1.19](v0.1.19...v0.1.20)

v0.1.19

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[Diff since v0.1.18](v0.1.18...v0.1.19)

v0.1.18

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v0.1.17

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v0.1.16

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## JLBoost v0.1.16

[Diff since v0.1.15](v0.1.15...v0.1.16)

v0.1.15

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## JLBoost v0.1.15

[Diff since v0.1.14](v0.1.14...v0.1.15)



**Merged pull requests:**
- Training fails for any nrounds > 2 (#63) (@altre)

v0.1.14

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## JLBoost v0.1.14

[Diff since v0.1.13](v0.1.13...v0.1.14)



**Merged pull requests:**
- updated to DataFrames 0.22 properly (#61) (@xiaodaigh)

v0.1.13

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## JLBoost v0.1.13

[Diff since v0.1.12](v0.1.12...v0.1.13)



**Merged pull requests:**
- Abstract trees.jl (#54) (@xiaodaigh)
- Tree stopping criterion (#55) (@xiaodaigh)
- update to MappedArrays.jl (#57) (@xiaodaigh)
- updated mapped arrays.jl (#58) (@xiaodaigh)

v0.1.12

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## JLBoost v0.1.12

[Diff since v0.1.11](v0.1.11...v0.1.12)

v0.1.11

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## JLBoost v0.1.11

[Diff since v0.1.10](v0.1.10...v0.1.11)



**Merged pull requests:**
- CompatHelper: bump compat for "LossFunctions" to "0.6" (#48) (@github-actions[bot])