Tools for event-based evaluation for activity recognition problems.
Project description
# ward-metrics Python implementation of the event-based evaluation metrics for activity recognition tasks proposed by Ward et. all
For academic citations you can use this [paper](http://dl.acm.org/citation.cfm?id=1889687).
# Installation ` pip install ward-metrics `
# Usage and documentation For examples and documentation check out the documentation website at [http://ward-metrics.readthedocs.io].
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ward_metrics-0.9.5-py2.py3-none-any.whl.
File metadata
- Download URL: ward_metrics-0.9.5-py2.py3-none-any.whl
- Upload date:
- Size: 13.3 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c6fa6b7a99a6ae89b9955026e4e8f0e8fec40e127ab3d605dd365a211e6a1057
|
|
| MD5 |
bab0181393065e8ead76e3acead2e7e8
|
|
| BLAKE2b-256 |
13092b16c14d9b4304887fab9f69842e7037d0896324e2885567d02a8a470c17
|
