topaztrainmetrics
Plot metrics from a Topaz training run.
Installation
$ pip install topaztrainmetrics
Usage
$ topaztrainmetrics --help
Usage: topaztrainmetrics [OPTIONS] <file>
Plot validation metrics from a Topaz training run.
<file> is the results.txt file from standalone Topaz or the
model_plot.star file from Topaz run within RELION.
Options:
-l, --loss Plot loss.
-g, --gepenalty Plot GE penalty.
-p, --precision Plot precision.
-t, --tpr Plot true/false positive rates.
-c, --auprc Plot area under precision/recall curve (default).
-x, --xaxis [iter|epoch] X axis (iter or epoch; default: iter).
-o, --output TEXT File name to save the plot (optional: with no file
name, simply display plot on screen without saving
it; recommended file formats: .png, .pdf, .svg or
any format supported by matplotlib).
-h, --help Show this message and exit.
1 maintainer
Metadata
1 maintainer
Release files for topaztrainmetrics 1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| topaztrainmetrics-1.3.tar.gz | 3.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| topaztrainmetrics-1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.2 kB
Release files / topaztrainmetrics-1.3.tar.gz
| Download URL | topaztrainmetrics-1.3.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6fb1049833585af78ec85ab909c5a2c0da546d046941c1225bb14bb696820245
|
|
BLAKE2b-256 checksum How to use checksums |
f462416e8ca4a94b02ee32dff3bd5f3f81a1ebafb008f6d1bd7379e250b21ed6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.4
|
Release files / topaztrainmetrics-1.3-py3-none-any.whl
| Download URL | topaztrainmetrics-1.3-py3-none-any.whl |
|---|---|
| Size | 4.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
94fe940432fffb05dc522bf096dcb85b49f02fd6dab74e80926ff51e6933409f
|
|
BLAKE2b-256 checksum How to use checksums |
520b89915bcb206112cf7a37cd676c797159d51c72a16b5d0cd679b082e8c30e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.4
|
Security for topaztrainmetrics 1.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
