refactor(Config): use a Config object instead of dictionary of dictionaries! (#184)

* refactor(Config): use a Config object instead of dictionary of dictionaries!

* fix(Config): use default_ensemble_config

* fix(Portfolio): fixed portfolio construction
This commit is contained in:
Mark Aron Szulyovszky
2022-01-23 18:37:43 +01:00
committed by GitHub
parent 5c4a5b0cf1
commit e80fffdb65
19 changed files with 223 additions and 196 deletions
+12 -14
View File
@@ -1,36 +1,34 @@
import pandas as pd
from config.config import RawConfig
from typing import Optional
from utils.helpers import weighted_average
def launch_wandb(project_name:str, default_config:dict, sweep:bool=False):
def launch_wandb(project_name:str, default_config: RawConfig, sweep:bool=False) -> Optional[object]:
from wandb_setup import get_wandb
wandb = get_wandb()
if wandb is None:
raise Exception("Wandb can not be initalized, the environment variable WANDB_API_KEY is missing (can also use .env file)")
elif sweep:
wandb.init(project=project_name, config = default_config)
wandb.init(project=project_name, config = vars(default_config))
return wandb
else:
wandb.init(project=project_name, config = default_config, reinit=True)
wandb.init(project=project_name, config = vars(default_config), reinit=True)
return wandb
def register_config_with_wandb(wandb: Optional[object], model_config:dict, training_config:dict, data_config:dict):
if wandb is None: return model_config, training_config, data_config
def override_config_with_wandb_values(wandb: Optional[object], raw_config: RawConfig) -> RawConfig:
if wandb is None: return raw_config
config: dict = wandb.config
wandb_config: dict = wandb.config
for k in training_config:
training_config[k] = config[k]
for k in model_config:
model_config[k] = config[k]
for k in data_config:
data_config[k] = config[k]
config_dict = vars(raw_config)
for k in config_dict:
config_dict[k] = wandb_config[k]
return model_config, training_config, data_config
return RawConfig(**config_dict)
def send_report_to_wandb(results: pd.DataFrame, wandb:Optional[object], project_name: str, model_name: str):
def send_report_to_wandb(results: pd.DataFrame, wandb:Optional[object]):
if wandb is None: return
run = wandb.run