Factual package intelligence from PyPI

textpredict 0.1.3 package intelligence

TextPredict is a powerful Python package designed for various text analysis and prediction tasks using advanced NLP models. It simplifies the process of performing sentiment analysis, emotion detection, zero-shot classification, named entity recognition (NER), and more.

pip install textpredict

Current version
0.1.3
Python requirement
<4.0,>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
47.3 KiB
Release history
4 releases with files
Median release cadence
2 days

textpredict dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch <2.0.0,>=1.9.0
  2. transformers <5.0.0,>=4.9.0
  3. datasets <2.0.0,>=1.11.0
  4. click <9.0.0,>=8.0.1
  5. fastapi <0.110,>=0.68
  6. uvicorn <0.16.0,>=0.15.0
  7. scikit-learn <2.0.0,>=1.5.1
  8. optuna <3.0.0,>=2.9.1
  9. matplotlib <4.0.0,>=3.4.3
  10. plotly <6.0.0,>=5.22.0

Compatibility and release files

textpredict publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .