Merge pull request #120 from VikramsDataScience/churn-propensity-model

Restructured codebase to begin development of a local pipeline

Author: VikramsDataScience

ECommerce_Churn_Propensity_Model/__init__.py

@@ -0,0 +1,11 @@
+from .src.config import Config
+from pathlib import Path
+
+# Model version
+__version__ = '0.01'
+
+# Initialise global variables from config module
+config = Config()
+data_path = Path(config.data_path)
+churn_app_path = Path(config.churn_app_models)
+seed = config.seed

ECommerce_Churn_Propensity_Model/__pycache__/tests.cpython-311.pyc

@@ -0,0 +1,6 @@
+import argparse
+
+parser = argparse.ArgumentParser(description='Churn propensity pipeline')
+parser.add_argument('--module', type=str, choices=['eda', 'preprocessing', 'model_training'])
+args = parser.parse_args()
+