statlab
statlab is a new Python package offering a variety of statistical and machine learning tools.
Products
"ord" ordinal classification tools
Submodule contains:
- TreeOrdinalClassifier
- SubtractionOrdinalClassifier
- Functions to calculate classification metrics on ordinal data
Submodule developed by: Noam Rotenberg, Andreia Faria, Brian Caffo
Examples coming soon!
"aled" Adaptive Label Error Detection
Submodule contains: ALED class
Methods details and cite: (details available soon)
Submodule developed by: Zan Chaudhry, Noam Rotenberg, Brian Caffo, Craig Jones, Haris Sair
Example available in examples/aled-medMNIST.py
Usage
Install: !pip install statlab
Import a single module: import statlab.ord - imports only ord
Import all modules: from statlab.all import * - can access any function without prefixes, e.g., TreeOrdinalClassifier(base_clf)
Specific example:
!pip install statlab
import statlab.ord
base_clf = # some sklearn-style classifier
clf = statlab.ord.TreeOrdinalClassifier(base_clf)
Future work:
- Dataset mislabeling detection and classification
- Naive Bayes classifier using nonparametric statistics
- Automated nonlinear feature tuning
Metadata
Release files for statlab 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| statlab-0.0.4.tar.gz | 14.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| statlab-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.6 kB
Release files / statlab-0.0.4.tar.gz
| Download URL | statlab-0.0.4.tar.gz |
|---|---|
| Size | 14.1 kB |
| Tags | Source |
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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 |
twine/6.2.0 CPython/3.14.2
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Release files / statlab-0.0.4-py3-none-any.whl
| Download URL | statlab-0.0.4-py3-none-any.whl |
|---|---|
| Size | 10.4 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 |
twine/6.2.0 CPython/3.14.2
|