-
-
Notifications
You must be signed in to change notification settings - Fork 1.1k
Open
Labels
questionFurther information is requestedFurther information is requested
Description
❓ Questions and Help
Hello team, thanks for creating this wonderful toolset for data science automation. I am currently creating a custom dataset and use it to train a binary classification model.
- The command i am using: rdagent data_science --competition <task_name>
- I am using similar data structure as arf-12-hours-prediction-task in the tutorial. And I have also provided the test dataset, in the following files hierarchy:
git_ignore_folder/ds_data
├── eval
│ ├── <task_name>
│ ├── grade.py
│ ├── submission_test.csv
│ └── valid.py
├── <task_name>
│ ├── description.md
│ ├── sample.py
│ ├── sample_submission.csv
│ ├── test
│ │ ├── info.csv
│ │ └── X.npy
│ └── train
│ ├── info.csv
│ └── X.npy
- I can successfully trigger the task, but when I look at the tracker UI, it seems the run score (test) is never executed. Please see the snapshot.
- What have i missed? the env file is as follows:
# ==========================================
# Task Configuration
# ==========================================
DS_LOCAL_DATA_PATH="git_ignore_folder/ds_data"
DS_CODER_ON_WHOLE_PIPELINE=True
DS_CODER_COSTEER_ENV_TYPE=docker
DS_IF_USING_MLE_DATA=False
DS_SAMPLE_DATA_BY_LLM=False
DS_SCEN=rdagent.scenarios.data_science.scen.DataScienceScen
Metadata
Metadata
Assignees
Labels
questionFurther information is requestedFurther information is requested