run_model_dev.py

from run_pipeline import run_pipeline
from config.config import get_dev_config


run_pipeline(project_name='price-prediction', with_wandb = False, sweep = False, get_config=get_dev_config)
feat(Inference): Models are collected and structured. (#120 ) 2022-01-07 15:33:50 +01:00			`from run_pipeline import run_pipeline`
refactor(Naming): use new convention, added Ensemble model parameter back, support multiple Meta-Labeling models (#132 ) 2022-01-09 17:21:06 +01:00			`from config.config import get_dev_config`
feat(Inference): Models are collected and structured. (#120 ) 2022-01-07 15:33:50 +01:00

refactor(Naming): use new convention, added Ensemble model parameter back, support multiple Meta-Labeling models (#132 ) 2022-01-09 17:21:06 +01:00			`run_pipeline(project_name='price-prediction', with_wandb = False, sweep = False, get_config=get_dev_config)`