HeavyEdge-Classify
Python package for probabilistic classification of edge profiles.
Usage
HeavyEdge-Classify provides simple command line interfaces:
heavyedge classify-train profiles labels
heavyedge classify-predict profiles model
Python Runtime API is also provided to incorporate the trained model into other framework. Refer to the package documentation for more information.
Installation
$ pip install heavyedge-classify
Documentation
The manual can be found online:
If you want to build the document yourself, get the source code and install with [doc] dependency.
Then, go to doc directory and build the document:
$ pip install .[doc]
$ cd doc
$ make html
Document will be generated in build/html directory. Open index.html to see the central page.
Developing
Installation
For development features, you must install the package by pip install -e .[dev].
Testing
Run pytest command to perform unit test.
When doctest is run, buildable sample data are rebuilt by default.
To disable this, set HEAVYEDGE_TEST_REBUILD environment variable to zero.
For example,
HEAVYEDGE_TEST_REBUILD=0 pytest
Metadata
Release files for heavyedge-classify 1.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| heavyedge_classify-1.5.0.tar.gz | 13.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| heavyedge_classify-1.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.4 kB
Release files / heavyedge_classify-1.5.0.tar.gz
| Download URL | heavyedge_classify-1.5.0.tar.gz |
|---|---|
| Size | 13.7 kB |
| Tags | Source |
|
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Transparency logRelease files / heavyedge_classify-1.5.0-py3-none-any.whl
| Download URL | heavyedge_classify-1.5.0-py3-none-any.whl |
|---|---|
| Size | 13.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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