forecasting-study

Pre-specified rolling-origin backtest: when do simple forecasts beat ETS, ARIMA and gradient boosting, and are the intervals honest? (30…

A new way for AI to search for data

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1GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit a6b342315d.

Selected work

saijignas
@saijignas

“Add validation-window tuning (ETS/ARIMA grids, ML-G config) and the c…”. 5 files, 512 lines in scripts, src/forecasting_study, tests.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-21. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

Example questions

What does src/forecasting_study do in forecasting-study?

The prompt

Paste it into your AI agent. It clones saijignas/forecasting-study at the pinned commit and indexes it on your machine.

Search the GitHub repository saijignas/forecasting-study with XERJ (https://hub.xerj.org/corpus/saijignas--forecasting-study).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/saijignas/forecasting-study forecasting-study && git -C forecasting-study checkout a6b342315da58c881f8e8162f07d3660aae47b68
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./forecasting-study --url http://127.0.0.1:9200 --prefix forecasting-study --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

saijignas API design and specification corpora

Selected work and consent: the XERJ registry.