autoX能否针对块状和间歇性需求的时间序列进行预测？
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Description
autoX能否针对块状和间歇性需求的时间序列进行预测？
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Research direction
The issue asks about forecasting for lumpy and intermittent demand time series. First, examine the AutoX codebase for existing time series forecasting modules. Look for model definitions and data preprocessing for sparse or irregular patterns. Determine what 'done' looks like by checking if the library currently supports such series and what modifications would be needed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100