rm unfinished

kaggle_team.py

@@ -1,41 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-import fire
-
-from metagpt.roles.kaggle_manager import KaggleManager
-from metagpt.roles.ml_engineer import MLEngineer
-from metagpt.team import Team
-
-
-async def main(
-    # competition: str,
-    # data_desc: str,
-    # requirement: str,
-    investment: float = 5.0,
-    n_round: int = 10,
-    auto_run: bool = False,
-):
-    competition, data_desc, requirement = (
-        "titanic",
-        "Training set is train.csv.\nTest set is test.csv. We also include gender_submission.csv, a set of predictions that assume all and only female passengers survive, as an example of what a submission file should look like.",
-        # "Run EDA on the train dataset, train a model to predict survival (20% as validation) and save it, predict the test set using saved model, save the test result according to format",
-        # "generate a random prediction, replace the Survived column of gender_submission.csv, and save the prediction to a new submission file",
-        "Score as high as possible for the provided dataset, save the test prediction to a csv with two columns PassengerId and Survived",
-    )
-
-    team = Team()
-    team.hire(
-        [
-            KaggleManager(competition=competition, data_desc=data_desc),
-            MLEngineer(goal=requirement, auto_run=auto_run),
-        ]
-    )
-
-    team.invest(investment)
-    team.start_project(requirement)
-    await team.run(n_round=n_round)
-
-
-if __name__ == "__main__":
-    fire.Fire(main)