example_params.yaml

input_data: # path to the input file, will be created with raw data if does not exist
times_file: # path to a file that indicates which times are in the training and verification data-sets, will be created if does not exist
suny: no
raw_data_path: # path to the raw data
satellite_file: # path to the satellite data
output_path: # output directory
loglevel: info
logging_filename: run.log
gpu_number: 1
correlation_variable: PA
correlation_length: 0.2
gamma: 0
witheld_sensors: [11184,]
bkeep_sensors: [403, 404, 405, 409, 427, 429, 432, 433, 435, 437, 439, 445, 452]
keep_sensors: [403, 404, 405, 409, 427, 429, 432, 433, 435, 437, 439, 445, 452]
analyze_sensors: [11184,]
d_inflation: 12.5
use_random_times: null
points_for_H: 1
cloud_edge_distance: 1.1
min_mse_shift_clouds: yes
no_cloud_shift: yes
clear_d_scale: 0.08
spatial_correlation: no
dtype: float32
random_state: 0
cvk: 6
empirical_P: no