Files
NexQuant/rdagent/components/coder/data_science/model/exp.py
T
Xu Yang 1a44a954df feat: integrate azure deepseek r1 (#591)
* fix several task & integrate deepseek R1

* fix CI

---------

Co-authored-by: Xu Yang <xuyang1@microsoft.com>
2025-02-13 22:20:17 +08:00

45 lines
1.6 KiB
Python

import pickle
import site
import traceback
from pathlib import Path
from typing import Dict, Optional
from rdagent.components.coder.CoSTEER.task import CoSTEERTask
from rdagent.core.experiment import Experiment, FBWorkspace
from rdagent.core.utils import cache_with_pickle
from rdagent.oai.llm_utils import md5_hash
from rdagent.utils.env import DockerEnv, DSDockerConf
# Because we use isinstance to distinguish between different types of tasks, we need to use sub classes to represent different types of tasks
class ModelTask(CoSTEERTask):
def __init__(
self,
name: str,
description: str,
architecture: str = "",
*args,
hyperparameters: Dict[str, str] = {},
model_type: Optional[str] = None,
**kwargs,
) -> None:
self.architecture: str = architecture
self.hyperparameters: str = hyperparameters
self.model_type: str | None = (
model_type # Tabular for tabular model, TimesSeries for time series model, Graph for graph model, XGBoost for XGBoost model
# TODO: More Models Supported
)
super().__init__(name=name, description=description, *args, **kwargs)
def get_task_information(self):
task_desc = f"""name: {self.name}
description: {self.description}
"""
if self.architecture:
task_desc += f"architecture: {self.architecture}\n"
if self.hyperparameters:
task_desc += f"hyperparameters: {self.hyperparameters}\n"
if self.model_type:
task_desc += f"model_type: {self.model_type}\n"
return task_desc