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yaricom / goNEAT

The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation
MIT License
75 stars 19 forks source link

Fixed LogLevel handling. Implemented related test cases. #63

Closed yaricom closed 8 months ago

codecov[bot] commented 8 months ago

Codecov Report

Attention: 4 lines in your changes are missing coverage. Please review.

Comparison is base (21b4e1c) 68.44% compared to head (5509083) 68.52%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #63 +/- ## ========================================== + Coverage 68.44% 68.52% +0.07% ========================================== Files 39 39 Lines 4532 4543 +11 ========================================== + Hits 3102 3113 +11 Misses 1024 1024 Partials 406 406 ``` | [Files](https://app.codecov.io/gh/yaricom/goNEAT/pull/63?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Iaroslav+Omelianenko) | Coverage Δ | | |---|---|---| | [neat/log.go](https://app.codecov.io/gh/yaricom/goNEAT/pull/63?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Iaroslav+Omelianenko#diff-bmVhdC9sb2cuZ28=) | `44.44% <73.33%> (+24.44%)` | :arrow_up: |

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