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feat(Config): feature extractors are enabled one-by-one with a bool, added previous model to model.fit() (#77)

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* feat(Config): feature extractors are enabled one-by-one with a bool, added previous model to model.fit()

* fix(Sweep): removed unused `other_features` parameter that fails sweep

* feat(Config): using preset names for defining feature extractors again

* fix(Tests): fixed model stub classes
This commit is contained in:
Mark Aron Szulyovszky
2021-12-23 10:35:20 +01:00
committed by GitHub
parent 6ae8acf70e
commit b6cd6b14fe
14 changed files with 78 additions and 44 deletions
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reporting/wandb.py
+7 -6
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@@ -15,15 +15,16 @@ def launch_wandb(project_name:str, default_config:dict, sweep:bool=False):
return wandb
def seperate_configs(wandb: Optional[object], model_config:dict, training_config:dict, data_config:dict) -> tuple[dict,dict,dict]:
def register_config_with_wandb(wandb: Optional[object], model_config:dict, training_config:dict, data_config:dict):
config: dict = wandb.config
if type(wandb) is not type(None):
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]
return model_config, training_config, data_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]
def send_report_to_wandb(results: pd.DataFrame, wandb:Optional[object], project_name: str, model_name: str):