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quantling / JudiLing.jl

JudiLing: An implementation for Linear Discriminative Learning in Julia.
MIT License
8 stars 3 forks source link

New version including deep learning code, with Flux and PyCall optional #97

Closed MariaHei closed 1 year ago

MariaHei commented 1 year ago

To address issues #94 #96 and #93

MariaHei commented 1 year ago

Also addressing #77

codecov[bot] commented 1 year ago

Codecov Report

Attention: 69 lines in your changes are missing coverage. Please review.

Comparison is base (878e4d4) 74.55% compared to head (17f35f5) 77.72%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #97 +/- ## ========================================== + Coverage 74.55% 77.72% +3.17% ========================================== Files 16 17 +1 Lines 1674 1800 +126 ========================================== + Hits 1248 1399 +151 + Misses 426 401 -25 ``` | [Files](https://app.codecov.io/gh/MegamindHenry/JudiLing.jl/pull/97?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Xuefeng+Luo) | Coverage Δ | | |---|---|---| | [src/JudiLing.jl](https://app.codecov.io/gh/MegamindHenry/JudiLing.jl/pull/97?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Xuefeng+Luo#diff-c3JjL0p1ZGlMaW5nLmps) | `100.00% <100.00%> (ø)` | | | [src/deep\_learning.jl](https://app.codecov.io/gh/MegamindHenry/JudiLing.jl/pull/97?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Xuefeng+Luo#diff-c3JjL2RlZXBfbGVhcm5pbmcuamw=) | `100.00% <100.00%> (ø)` | | | [src/eval.jl](https://app.codecov.io/gh/MegamindHenry/JudiLing.jl/pull/97?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Xuefeng+Luo#diff-c3JjL2V2YWwuamw=) | `80.17% <100.00%> (+13.01%)` | :arrow_up: | | [src/find\_path.jl](https://app.codecov.io/gh/MegamindHenry/JudiLing.jl/pull/97?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Xuefeng+Luo#diff-c3JjL2ZpbmRfcGF0aC5qbA==) | `88.41% <100.00%> (+1.39%)` | :arrow_up: | | [src/make\_cue\_matrix.jl](https://app.codecov.io/gh/MegamindHenry/JudiLing.jl/pull/97?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Xuefeng+Luo#diff-c3JjL21ha2VfY3VlX21hdHJpeC5qbA==) | `98.01% <100.00%> (+35.00%)` | :arrow_up: | | [src/make\_semantic\_matrix.jl](https://app.codecov.io/gh/MegamindHenry/JudiLing.jl/pull/97?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Xuefeng+Luo#diff-c3JjL21ha2Vfc2VtYW50aWNfbWF0cml4Lmps) | `61.26% <100.00%> (+4.99%)` | :arrow_up: | | [src/pickle.jl](https://app.codecov.io/gh/MegamindHenry/JudiLing.jl/pull/97?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Xuefeng+Luo#diff-c3JjL3BpY2tsZS5qbA==) | `0.00% <ø> (ø)` | | | [src/pyndl.jl](https://app.codecov.io/gh/MegamindHenry/JudiLing.jl/pull/97?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Xuefeng+Luo#diff-c3JjL3B5bmRsLmps) | `0.00% <0.00%> (ø)` | |

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