GRU 预测
SkillAI & modelsLets 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.
No other account needed.
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
- Use
get_schemato identify the time column, target column, feature columns, and source table. - Use
query_dataonly to verify sorted sequence length, missingness, and whether the sample size is sufficient. - Use
run_analysiswithanalysis_name="Time_Series_GRU"for the actual model computation. - Use
generate_charton forecast or validation result tables afterrun_analysissucceeds.
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