A dynamic framework for hypothesis-driven iterative machine learning.
Project description
PerspectiveLearning
PerspectiveLearning is a Python library for hypothesis-driven iterative machine learning.
Features
- Define multiple perspectives for hypothesis evaluation.
- Iteratively train and refine the best perspective.
- Predict outcomes using the refined model.
Installation
Install via pip:
pip install PerspectiveLearning
Usage
from PerspectiveLearning import PerspectiveLearning
# Example usage with dataset
pl = PerspectiveLearning(dataset, features, target, perspectives)
pl.train()
predictions = pl.predict(new_data)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file perspectivelearning-0.1.0.tar.gz
.
File metadata
- Download URL: perspectivelearning-0.1.0.tar.gz
- Upload date:
- Size: 3.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1e67d4273474a9dba89f076df291dfe19211cf024b502e1c91a2d922f7c4720b |
|
MD5 | 13ee3bf1d676d199762e36fbeb8a7895 |
|
BLAKE2b-256 | a3252c03a6deb9e01c7198771bee877efc0cac08c227bbdf8ce06ef6933cfd06 |
File details
Details for the file PerspectiveLearning-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: PerspectiveLearning-0.1.0-py3-none-any.whl
- Upload date:
- Size: 3.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1b837693abd6c78370687a65197760350989e7554ba7385fdbd60396d4461252 |
|
MD5 | 5cd674924e3e55819049d6d85e1ca12f |
|
BLAKE2b-256 | 04c9d6ccfa67692ea87eebc9ab466cfcaec75e6594259d0a0ceb74ecda99b6ef |