config_source.yaml

# seed for the random number generators, to make things reproducible
seed: 0

# define th number of cross validations to perform
n_cross_validations : 5
true_energy_column: corsika_event_header_total_energy

coordinate_transformation: FACT
# columns containing coordinates of the source and of the pointing
source_az_column: source_position_az
source_zd_column: source_position_zd
pointing_az_column: pointing_position_az
pointing_zd_column: pointing_position_zd

disp:
  disp_regressor : |
    ensemble.RandomForestRegressor(
        n_estimators=30,
        max_features='sqrt',
        n_jobs=-1,
        max_depth=20,
    )

  sign_classifier: |
    ensemble.RandomForestClassifier(
        n_estimators=30,
        max_features='sqrt',
        n_jobs=-1,
        max_depth=20,
    )

  # randomly sample the data if you dont want to use the whole set
  n_signal : 500

  features:
    - concentration_cog
    - concentration_core
    - delta
    - leakage1
    - leakage2
    - length
    - skewness_long
    - kurtosis_long
    - num_islands
    - size
    - width