Skip to main content

⚠️ 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.

Metadata

Release files for pqagent 0.0.12

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pqagent 0.0.12
File Size Uploaded
pqagent-0.0.12.tar.gz 16.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pqagent 0.0.12
File Interpreter ABI Platform
pqagent-0.0.12-py3-none-any.whl Python 3 none any Details

Total release size: 35.0 kB

Release files / pqagent-0.0.12.tar.gz

Download URL pqagent-0.0.12.tar.gz
Size 16.8 kB
Tags Source
SHA-256 checksum
How to use checksums
db6a352e831129926371d1d56ca0fada32d87f7cef9a8afe73c5d51c9fb98cbf
BLAKE2b-256 checksum
How to use checksums
a211b5a869574e4cf3ad5edb9e70edc1e6e3a0c0d0ce2fc62541d49fc39a7222
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.13

Release files / pqagent-0.0.12-py3-none-any.whl

Download URL pqagent-0.0.12-py3-none-any.whl
Size 18.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f2b7dadfdfa5f8449469e14b4a0414bc6105f58483469cb22d3b03b911020769
BLAKE2b-256 checksum
How to use checksums
c7e1473d053e23afdc253c2db0601527c9f57093ac9d575c9c220473a834cb77
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.13

Release history Release notifications | RSS feed

This release

0.0.12 This release

2 release files

0.0.9

2 release files

0.0.8

2 release files

0.0.7

2 release files

0.0.6

2 release files

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

0.0.2

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page