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
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Network graph visualization using Graphviz DOT and Cytoscape JS formats #40

Closed yaricom closed 2 years ago

codecov[bot] commented 2 years ago

Codecov Report

Merging #40 (ef505a5) into master (260144b) will increase coverage by 0.88%. The diff coverage is 93.61%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #40      +/-   ##
==========================================
+ Coverage   60.03%   60.91%   +0.88%     
==========================================
  Files          39       38       -1     
  Lines        4777     4396     -381     
==========================================
- Hits         2868     2678     -190     
+ Misses       1471     1347     -124     
+ Partials      438      371      -67     
Impacted Files Coverage Δ
neat/genetics/mimo_gene.go 73.07% <ø> (ø)
neat/genetics/organism.go 44.57% <ø> (+9.63%) :arrow_up:
neat/math/activations.go 26.81% <ø> (ø)
neat/network/network_graph.go 90.56% <ø> (+2.95%) :arrow_up:
neat/genetics/genome_writer.go 73.24% <66.66%> (-1.28%) :arrow_down:
neat/network/formats/network_graph_dot.go 71.42% <71.42%> (ø)
neat/genetics/genome_reader.go 67.18% <75.00%> (+2.59%) :arrow_up:
neat/network/formats/network_graph_cytoscapejs.go 95.93% <95.93%> (ø)
neat/genetics/population_io.go 55.93% <100.00%> (+5.05%) :arrow_up:
neat/neat.go 75.00% <100.00%> (+1.76%) :arrow_up:
... and 18 more

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