Skip to main content

A user friendly package for training quality prediction models

Project description

⚠️ Note: This package is currently in active development. It is not yet feature-complete and lacks comprehensive documentation. Users should expect changes and potential instability.

PQagent

PQagent is a Python package designed to streamline the development and training of predictive quality models using neural networks. Built on the powerful PyTorch framework, PQagent offers a comprehensive suite of tools for data preprocessing, model training, and evaluation, enabling users to construct robust predictive models tailored to their specific quality assurance needs.

For more details, please study the Documentation.

🧩 Features

to be documented

🚀 Quickstart Example

to be documented

Installation

pip install pqagent

©️ License

This project is licensed under the MIT License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pqagent-0.0.9.tar.gz (16.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pqagent-0.0.9-py3-none-any.whl (18.1 kB view details)

Uploaded Python 3

File details

Details for the file pqagent-0.0.9.tar.gz.

File metadata

  • Download URL: pqagent-0.0.9.tar.gz
  • Upload date:
  • Size: 16.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for pqagent-0.0.9.tar.gz
Algorithm Hash digest
SHA256 0a2dd2e61d869f31e4f8c2503ee5cc8406042ee2fd53afc9c80e0ff8e59f1d0c
MD5 fc6dfa8428a62a69f277d7be74a1e234
BLAKE2b-256 92fd653db28f970a042d6d45473fac81f9402ca9e22adff28ddc4777b57ff207

See more details on using hashes here.

File details

Details for the file pqagent-0.0.9-py3-none-any.whl.

File metadata

  • Download URL: pqagent-0.0.9-py3-none-any.whl
  • Upload date:
  • Size: 18.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for pqagent-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 0bc01c7aebfd3b447c86c6c9f56d2fd280de65d0d315a4a044d894c892da4583
MD5 4bf5c020371f0b3757f9982e5819f120
BLAKE2b-256 d0290ccdc55a88f89f789bac09aa698fdf2a50d438b456f5aaf60674594be13e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page