PyEvalis
Overview
PyEvalis is a Python library for building and evaluating machine learning models, specifically focusing on Random Forest and Decision Tree algorithms. It aims to simplify the process of model training and evaluation, making it accessible for both beginners and experienced data scientists.
Features
- Random Forest: An ensemble learning method for classification and regression that builds multiple decision trees and merges their outputs for improved accuracy.
- Decision Tree: A straightforward model that uses a tree-like graph of decisions and their possible consequences, ideal for both classification and regression tasks.
Installation
You can install My Package using pip. Run the following command in your terminal:
pip install pyevalis
1 maintainer
Metadata
1 maintainer
Release files for pyevalis 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyevalis-0.0.7.tar.gz | 18.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyevalis-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 42.3 kB
Release files / pyevalis-0.0.7.tar.gz
| Download URL | pyevalis-0.0.7.tar.gz |
|---|---|
| Size | 18.1 kB |
| Tags | Source |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.12.4
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Release files / pyevalis-0.0.7-py3-none-any.whl
| Download URL | pyevalis-0.0.7-py3-none-any.whl |
|---|---|
| Size | 24.2 kB |
| Tags | Python 3 |
|
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/5.1.1 CPython/3.12.4
|
