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Automated time-series forecasting with state-of-art machine learning and deep learning algorithms

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AutoTSF

Automated time-series forecast pipeline with state-of-art machine learning and deep learning algorithm. 🚀🚀🚀

version 0.1.0

Installation

Use the package manager pip to install AutoTSF.

$ pip install autotsf

Getting Started

from autotsf import AutoTSF                         # Import

import pandas as pd
data = pd.read_csv('/Users/kailing/Desktop/sample_data_1.csv', parse_dates=['datetime'])  # for testing

auto_tsf = AutoTSF()                                # Initialization
auto_tsf.train(data)                                # automated feature engineering and model training

pred_df = auto_tsf.forecast(num_step_forecast=7)    # one week forecast

Authors

  • Kailing Ding - Github
  • Yuxuan Fan - Github
  • Jerry Chan
  • Shen Hu
  • Jeffrey Chen

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE file for details

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Automated time-series forecasting with state-of-art machine learning and deep learning algorithms

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