Created
October 17, 2024 06:11
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convert class to dict
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class Config: | |
# MODE | |
PROD = True | |
IS_SANDBOX_ENV = True | |
TRAINING = False # Prepare data for training/inference if True/False. No Training or Inference executed. Use DO_TRAIN or DO_SERVE. | |
DO_TRAIN = False # Run model training if True | |
DO_SERVE = True # Run model predict if True | |
GENERATE_DATA = True # generate, features, targets if True | |
PRINT_CHECKS = True | |
IS_DATA_ENCRYPTED = False | |
# DIRECTORIES | |
PROJECT_NAME = 'MY_AG_Lapse' | |
CDP_SCV_HIVEDB = 'my_datascience_v' | |
PROJECT_HIVEDB = 'my_feature_store' | |
COMMON_DIR = 'abfss://[email protected]/FWD/IN/AgencyLapse/Common' # for L1 to L31 data only (common data) | |
INPUT_DIR = f'abfss://[email protected]/FWD/IN/AgencyLapse/LapseModel/Intermediate' # Project specific data | |
OUTPUT_DIR = INPUT_DIR | |
MAPPING_DIR = 'abfss://[email protected]/MY/FWD/Lapse/mapping' | |
EXPT_PATH = f'/Users/[email protected]/MY/Agent Channel/Experiments/{PROJECT_NAME}' | |
# config in dictionary format | |
CONFIGS = {k:v for k,v in Config.__dict__.items() if k[0:2] != '__'} |
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