params.yaml

external_data_config:
  external_data_csv: data/external/train.csv

raw_data_config:
  raw_data_csv: data/raw/train.csv
  model_var:
    [
      "churn",
      "number_vmail_messages",
      "total_day_calls",
      "total_eve_minutes",
      "total_eve_charge",
      "total_intl_minutes",
      "number_customer_service_calls",
    ]
  train_test_split_ratio: 0.2
  target: churn
  random_state: 111
  new_train_data_csv: data/raw/train.csv

processed_data_config:
  train_data_csv: data/processed/churn_train.csv
  test_data_csv: data/processed/churn_test.csv

# params of the model
random_forest:
  max_depth: 100
  n_estimators: 40

mlflow_config:
  artifacts_dir: artifacts
  experiment_name: model_iteration1
  run_name: random_forest
  registered_model_name: random_forest_model
  remote_server_uri: http://localhost:4000

model_dir: models/model.joblib

model_webapp_dir: models/model.joblib

model_monitor:
  target_col_name: target
  monitor_dashboard_html: reports/data_and_target_drift_dashboard.html

reports:
  params: report/params.json
  metrics: report/metrics.json

best_model_reports:
  params: report/best/best_params.json
  metrics: report/best/best_metrics.json