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skygazer42 / ForeSight

机器学习与深度学习模型时间序列预测包

Why this job: works in the areas we cover, but does not say which job it does

What it does

  • Walk-forward backtesting with expanding or rolling windows.
  • Full cross-validation tables with unique_id, ds, cutoff, step, y, yhat, model.
  • Single-dataset leaderboards and multi-dataset sweeps.
  • Grid-search tuning scored through backtesting.
  • Conformal and bootstrap prediction intervals.

Get started

pip install foresight-ts
# core (numpy + pandas only)
Maintenance
Inactive
Last commit 6 months ago
Stars
117
On GitHub
Licence
GPL-3.0
Share-alike terms
Downloads for
None listed
No release files
Latest version
v0.3.1
Released 6 months ago
Built with
Python
100% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
None
No issues filed
Pull requests
0 merged
0 waiting
Releases
13
13 in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 100%

Topics

  • backtesting
  • deep-learning
  • forecasting
  • machine-learning
  • time-series

Project record

  • JobOther AI tools
  • StatusListed
  • Commits520
  • Forks3
  • Watching1
  • Stars in 28 days0
  • CreatedMar 30, 2023
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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