DeepSharp.Charts
The charts of a DeepSharp run, drawn from what the training loop and the measures already keep, never from arrays anybody assembles: the loss curve of the training and the validation rows, the learning rate every epoch took, a confusion matrix as a heatmap of counts, what a model predicted against what was there, what was left over, every measure as bars beside the training rows' average, the reliability curve of a model's chances, and a correlation as a heatmap. Each chart is handed out as the text of an SVG, drawn by MatPlotLibNet, and kept in a package of its own so a trainer on a machine with no screen never carries a renderer.
Activity
- Latest release
- 3d ago
- Total releases
- 15
- Cadence
- ~daily
- Last 12 months
- 15
Details
- License
- MIT
- First release
- Sep 30, 2026
Releases
| Version | Released | |
|---|---|---|
0.17.0
minor
| ||
0.16.0
minor
| ||
0.15.0
minor
| ||
0.14.0
minor
| ||
0.13.0
minor
| ||
0.12.0
minor
| ||
0.11.0
minor
| ||
0.10.0
minor
| ||
0.9.0
minor
| ||
0.8.0
minor
| ||
0.7.1
patch
| ||
0.7.0
minor
| ||
0.6.1
minor
| ||
0.5.0
minor
| ||
0.4.0
initial
|