microsoft / microsoft/qlib

Inconsistent workflow definition in examples/highfreq/workflow_config_High_Freq_Tree_Alpha158.yaml

Open
#1,739 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

bug
Dominant language
Python
Stars
48.7k
Forks
7.7k
PR merge metrics
No merged PRs in 30d

Description

The data_handler_config define label as : ["Ref($close, -2) / Ref($close, -1) - 1"] . However the model objective is binary:

model:
class: "HFLGBModel"
module_path: "qlib.contrib.model.highfreq_gdbt_model"
kwargs:
objective: 'binary'

I think either change the label as 0/1 or change model objective as 'l2' might be reasonable.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with examples/highfreq/workflow_config_High_Freq_Tree_Alpha158.yaml and inspect how HFLGBModel handles the configured label and objective. Confirm the intended pairing between the return-valued label and binary or l2 training, then update the example configuration and verify that the workflow runs with consistent settings.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.