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This commit is contained in:
刘棒棒 2024-02-21 23:03:36 +08:00
parent 6652aa09ce
commit 2d89060918
1 changed files with 3 additions and 3 deletions
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6
examples/mi/machine_learning.py
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@ -23,17 +23,17 @@ The metric of the competition is weighted mean absolute error (WMAE) for test da
- *print* key variables to get more information for next task step.
"""
requirements = {"wine": WINE_REQ, "sales_forecast": SALES_FORECAST_REQ}
REQUIREMENTS = {"wine": WINE_REQ, "sales_forecast": SALES_FORECAST_REQ}
async def main(auto_run: bool = True, use_case: str = "wine"):
mi = Interpreter(auto_run=auto_run)
if use_case == "wine":
requirement = requirements[use_case]
requirement = REQUIREMENTS[use_case]
else:
mi.use_tools = True
assert DATA_DIR != "your/path/to/data", f"Please set DATA_DIR for the use_case: {use_case}!"
requirement = requirements[use_case]
requirement = REQUIREMENTS[use_case]
await mi.run(requirement)