parameters.yaml

MLmodel:
    - SeisBench,PhaseNet,original
    # - SeisBench,PhaseNet,stead
    - SeisBench,EQT,original
    # - SeisBench,EQT,stead
    
overlap_ratio: 0.9
    
rescaling: 
    - None
    - 2 
    - 3
    - 4
    - 5
    # - 0.5
    # - 0.2
    # - 0.1
    # - 0.05
    # - 8.5
    
frequency: 
    - None  # no filtering
    - [1, 40]
    - [2, 40]  # bandpass filtering
    - [5, None]  # highpass filtering

ensemble: pca  # max, pca, semblance, mean, median, prod, ...

pick:
    format: dataframe  # None or dataframe or dict or list
    method: threshold  # threshold, max, peak
    P_threshold: 0.1  # None or number
    S_threshold: 0.1  # None or number

output: all  # pick or prob

prob_sampling_rate: None  # None or float/int

# data:  # specify the input seismic data information 
#     component_input: Z12  # the input data component(s), only required if the input data format is numpy.ndarray
#     auto_expend: 
#         method: symmetric  # method to auto expend the input data if input duration is too short, can be constant or symmetric ... (check numpy.pad)
#         window_ratio: 2.0  # the ratio of the expended window size to the required input duration, 1.0 means the same size