FrostAura provides a range of open-source components provide a variety of problem domains.
Project description
fa.intelligence.notebooks
Description
FrostAura Intelligence provides a range of open-source notebooks for Python-based machine learning solutions like:
- Utilities
- Environments
- Labs
- Experiments
Getting Started
Local
- Python >= 3.7 required.
- Setup your environment.
To build the Python package locally, from the root of the project, run python -m build
(Legacy way: python setup.py sdist bdist_wheel
).
PIP Installation
pip install -U --no-cache-dir frostaura
Example Usage (See all the examples here.)
from frostaura import (models,
data_access,
engines,
managers)
html_data_access = data_access.HtmlDataAccess()
engine = engines.FinvizAssetValuationEngine(html_data_access=html_data_access)
vars(engine.valuate(symbol='AAPL', company_name='Apple Inc.'))
Credits
Contribute
In order to contribute, simply fork the repository, make changes and create a pull request.
Support
If you enjoy FrostAura open-source content and would like to support us in continuous delivery, please consider a donation via a platform of your choice.
Supported Platforms | Link |
---|---|
PayPal | Donate via Paypal |
For any queries, contact dean.martin@frostaura.net.
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
Hashes for frostaura-1.0.30-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d66d8d6146575ea9406c503bfd588a1e0eb54ed29586cf4a522cc2c9e8716c72 |
|
MD5 | bb8efdeec7567cd0c9a44c322d67445b |
|
BLAKE2b-256 | 875abbdcf58c9ac26363b09ff66c7f9dfd61557b3db8cf5e0448f11f51ec0893 |