Skip to main content

Python package to integrate the workflow of a variety of time series forecast methods

Project description

Welcome to forecasttime

image

Python package to integrate the workflow of a variety of time series forecast methods

Features in progress

  • Time series dataframe transformation for machine learning and deep learning.
  • Classical time series forecast models
  • Machine learning models for time series forecast
  • Deep learning models for time series forecast: LSTM and CNN
  • Ensemble of selected time series forecast models
  • Model performance evaluation
  • Interpretable forecast

Features in queque

  • Fbprophet forecast: there's problem of pip install fbprophet in Windows.
  • Hierarchical time series forecast.
  • New forecast algorithms

Credits

This package was created with Cookiecutter and the giswqs/pypackage project template.

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

forecasttime-0.0.4.tar.gz (5.7 kB view hashes)

Uploaded Source

Built Distribution

forecasttime-0.0.4-py2.py3-none-any.whl (6.7 kB view hashes)

Uploaded Python 2 Python 3

Supported by

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