noggin is a simple tool for logging and plotting measurements during an experiment. In particular, it was created as a convenient means for recording metrics while training a neural network, thus it is designed around the familiar training/testing and batch/epoch paradigms.
noggin is able to perform “live plotting” and automatically update its plots throughout an experiment. Its logging interface also makes it easy to save and load recorded metrics, and seamlessly resume your experiment. These metrics can also be accessed as an N-dimension array with labeled axes, by making keen use of the xarray library.
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Release files for noggin 0.10.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| noggin-0.10.1.tar.gz | 33.3 kB | Without provenance | Details for noggin-0.10.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| noggin-0.10.1-py3-none-any.whl | Python 3 | none | any | Details for noggin-0.10.1-py3-none-any.whl |
Total release size: 52.7 kB
Release files / noggin-0.10.1.tar.gz
| Download URL | noggin-0.10.1.tar.gz |
|---|---|
| Size | 33.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / noggin-0.10.1-py3-none-any.whl
| Download URL | noggin-0.10.1-py3-none-any.whl |
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| Size | 19.4 kB |
| Tags | Python 3 |
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