GRU 预测

SkillAI & models

Lets your agent forecast future values in large time series datasets using a GRU deep learning model.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the GRU 预测 skill

About this capability

Time series forecasting using GRU (forecast deep learning)

What this skill tells your AI

The instructions your AI receives, as published by zafer-liu/data-analysis-agent in skills/gru/SKILL.md and read by ahel’s review.

仅在样本量和序列长度足够时使用。确认窗口、特征和预测期,严格按时间划分训练验证,避免泄漏,报告基线对比、误差和不确定性;小数据优先建议传统时序模型。

Tool routing

  1. Use get_schema to identify the time column, target column, feature columns, and source table.
  2. Use query_data only to verify sorted sequence length, missingness, and whether the sample size is sufficient.
  3. Use run_analysis with analysis_name="Time_Series_GRU" for the actual model computation.
  4. Use generate_chart on forecast or validation result tables after run_analysis succeeds.

Implementation reference

  • Tool entry: agent/tools/business/data.py::_tool_run_analysis
  • Analysis registry: Function/Analyze/registry.py
  • Analysis implementation: Function/Analyze/Time_Series_GRU/analyze.py
  • Chart implementation: Function/Charts_generation/chart_generate.py

Signals

GitHub stars
3k
Forks
221
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
gru
Source
github.com/zafer-liu/data-analysis-agent