Continuing StockRanker Training from a Saved Model

Summary

This platform support exchange distinguishes continuing training from a saved StockRanker model from saving a model for a full training run. The user wants incremental training, such as adding trees or increasing the number of leaf nodes, but reports an error when using a previously saved model as the base model.

The response says the platform does not currently provide a module for incremental training. It suggests implementing the process in code as the available workaround and says platform support may be added later. The exchange gives no code, diagnosis of the reported error, or evaluation of the workaround, so it is a brief capability note rather than a guide to implementing incremental learning.

Key ideas

• The exchange concerns resuming training from a previously saved StockRanker model.
• The requested changes include adding trees or increasing the number of leaf nodes.
• The platform response says it lacks a module for incremental training at that time.
• The suggested workaround is to implement incremental training in code.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.