HealthMetrics
Health Metrics for within and between subjects / sessions
A high-performance model evaluation framework built on Polars lazy evaluation.
Specializes in fast, flexible, and type-safe metric evaluation for data science workflows.
Documentation
https://elong0527.github.io/healthmetrics/
Installation
You can install the development version from GitHub:
git clone https://github.com/elong0527/demo_eval_metric.git
cd demo_eval_metric
pip install -e .
To install with development dependencies:
pip install -e ".[dev]"
Metadata
Release files for healthmetrics 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| healthmetrics-0.2.0.tar.gz | 32.0 kB | Without provenance | Details for healthmetrics-0.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| healthmetrics-0.2.0-py3-none-any.whl | Python 3 | none | any | Details for healthmetrics-0.2.0-py3-none-any.whl |
Total release size: 66.2 kB
Release files / healthmetrics-0.2.0.tar.gz
| Download URL | healthmetrics-0.2.0.tar.gz |
|---|---|
| Size | 32.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / healthmetrics-0.2.0-py3-none-any.whl
| Download URL | healthmetrics-0.2.0-py3-none-any.whl |
|---|---|
| Size | 34.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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|
Security for healthmetrics 0.2.0
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