run_sweep.py

from run_pipeline import run_pipeline
from config.config import get_default_ensemble_config

run_pipeline(project_name='price-prediction', with_wandb = True, sweep = True, get_config= get_default_ensemble_config)
feature(MetaLabeling): replaced previous non-functional Ensembling method with Meta-labeling method available for both lvl1 and lvl2 models (#110 ) 2022-01-06 16:36:45 +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_default_ensemble_config`
Feature: Added sweep functionality (#65 ) 2021-12-21 17:28:36 +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 = True, sweep = True, get_config= get_default_ensemble_config)`