spoke/params.yaml at develop · clyman23/spoke · GitHub

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---
config:
  '2019':
    time_period_start: '2019-01-01'
    time_period_end: '2019-12-31'
    # The distance, in meters, that a crash must be within to a node in the street
    # network for the node to be considered for attribution.
    crash_threshold_dist_m: 100
    # Same as the above, but for pairing Citibike start and end points with nodes
    trip_threshold_dist_m: 100
    # The clipping boundary used to generate the base map. See
    # data_processing/00_create_map.py for a definition of the available values for
    # this
    map_clipping_boundary: mnh_below_34th
    # The number of trips to sample from the overall trip dataset when computing
    # routes
    trip_sample_size: 100_000
    # Random state to use for random things
    random_state: 42
    # Ratios to use for generating training data. Must sum to 1
    train_ratio: 0.6
    validation_ratio: 0.2
    test_ratio: 0.2
  '2020':
    time_period_start: '2020-01-01'
    time_period_end: '2020-12-31'
    crash_threshold_dist_m: 100
    trip_threshold_dist_m: 100
    map_clipping_boundary: mnh_below_34th
    trip_sample_size: 100_000
    random_state: 42
    train_ratio: 0.6
    validation_ratio: 0.2
    test_ratio: 0.2
  '2021':
    time_period_start: '2021-01-01'
    time_period_end: '2021-11-01'
    crash_threshold_dist_m: 100
    trip_threshold_dist_m: 100
    map_clipping_boundary: mnh_below_34th
    trip_sample_size: 10_000
    random_state: 42
    train_ratio: 0.6
    validation_ratio: 0.2
    test_ratio: 0.2
  '2019_thru_2021':
    time_period_start: '2019-01-01'
    time_period_end: '2021-11-01'
    crash_threshold_dist_m: 100
    trip_threshold_dist_m: 100
    map_clipping_boundary: mnh_below_34th
    trip_sample_size: 1_000_000
    random_state: 42
    train_ratio: 0.6
    validation_ratio: 0.2
    test_ratio: 0.2
  '2019_thru_2021_all_mnh':
    time_period_start: '2019-01-01'
    time_period_end: '2021-11-01'
    crash_threshold_dist_m: 100
    trip_threshold_dist_m: 100
    map_clipping_boundary: mnh
    trip_sample_size: 1_000_000
    random_state: 42
    train_ratio: 0.6
    validation_ratio: 0.2
    test_ratio: 0.2