Factual package intelligence from PyPI

lstm-forecast 0.1.5 package intelligence

A package for LSTM-based financial time series forecasting

pip install lstm-forecast

Current version
0.1.5
Python requirement
>=3.7
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
97.7 KiB
Release history
4 releases with files
Median release cadence
0 days

lstm-forecast dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=2.2.2
  2. ta >=0.11.0
  3. statsmodels >=0.14.2
  4. numpy >=1.26.4
  5. yfinance >=0.2.41
  6. matplotlib >=3.9.1
  7. torch >=2.4.0
  8. plotly >=5.3.1
  9. scikit-learn >=1.5.1
  10. xgboost >=2.1.0
  11. optuna >=3.6.1
  12. onnxruntime >=1.18.1
  13. onnx >=1.16.2
  14. Flask >=3.0.3

The compact report shows 18 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

lstm-forecast publishes 1 wheel and 1 source archive for version 0.1.5. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.7, 3.8, 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 .