<jupyter_start><jupyter_text>Checking `src/data`<jupyter_code>annotation = load_annotation.get_annotation()
complete_ids = load_annotation.get_complete_ids(category='Urination')
water_distance = load_water_distance.get_water_distance_raw(
    user_id=1861)

water_distance = load_water_distance.get_water_distance_clean(
    user_id=1861)
radar_raw = load_radar.get_radar_raw(1861)
radar_sum = load_radar.get_radar_sum_clean(1861)
seat_raw = load_weight_sensor.get_seat_weight_raw(1861)
foot_raw = load_weight_sensor.get_foot_weight_raw(1861)
seat_clean, foot_clean = load_weight_sensor.get_seat_and_foot_weight_clean(1861)
total_clean = load_weight_sensor.get_total_weight_clean(1861)<jupyter_output><empty_output><jupyter_text>Checking `src/make_dataset.py`<jupyter_code>from src.make_dataset import RandomForestDataset, RandomForestExtended
dataset_config = {
    'USER_IDS': [1831, 1863],
    'SOURCE_NAMES': ['TotalWeight', 'WaterDistance', 'RadarSum', 'AudioDelay4'],
    'FEATURE_NAMES': ['Max', 'Min', 'Mean', 'Median', 'LogVariance', 'LinearTrend'],
    'CATEGORY': 'Urination',
    'WINDOW_SECONDS': 3,
    'HOP_SECONDS': 1
}

dataset = RandomForestExtended(dataset_config)
features, labels = dataset.get_features_and_labels_from_users()
features.shape, labels.shape<jupyter_output><empty_output>
StarcoderdataJupyterStructuredCleanDedup