Alexander/P-unit_model
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make some options global

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a.ott 2020-08-01 12:04:53 +02:00
parent d8911da92f
commit e9c414dab5
1 changed files with 10 additions and 7 deletions
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17
run_Fitter.py
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@ -14,10 +14,12 @@ import numpy as np
import multiprocessing as mp import multiprocessing as mp
SAVE_DIRECTORY = "./results/invivo_results/" # SAVE_DIRECTORY = "./results/invivo_results/"
SAVE_DIRECTORY_BEST = "./results/invivo_best/" SAVE_DIRECTORY = "./results/test_data_isi_hist_err_added/"
# [bf, vs, sc, cv, bursty, f_inf, f_inf_slope, f_zero, f_zero_slope, f0_curve] # SAVE_DIRECTORY_BEST = "./results/invivo_best/"
ERROR_WEIGHTS = (0, 2, 2, 2, 2, 1, 1, 1, 0, 1) SAVE_DIRECTORY_BEST = "./results/test_data_best_isi_hist/"
# [bf, vs, sc, cv, isi_hist, bursty, f_inf, f_inf_slope, f_zero, f_zero_slope, f0_curve]
ERROR_WEIGHTS = (0, 2, 2, 1, 1, 0, 1, 1, 1, 0, 1)
def main(): def main():
@ -30,10 +32,11 @@ def main():
fit_cell_parallel(cell_data, start_parameters) fit_cell_parallel(cell_data, start_parameters)
quit() quit()
test_single_cell("data/invivo/2010-11-08-al-invivo-1/") # test_single_cell("data/invivo/2010-11-08-al-invivo-1/")
test_single_cell("data/invivo_bursty/2014-03-19-ae-invivo-1/")
# start_parameters = [p for p in iget_start_parameters()] # start_parameters = [p for p in iget_start_parameters()]
# cell_data = CellData("data/invivo/2013-04-17-ac-invivo-1/") # cell_data = CellData("data/invivo_bursty/2014-03-19-ae-invivo-1/")
# fit_cell_parallel(cell_data, start_parameters) # fit_cell_parallel(cell_data, start_parameters)
@ -156,7 +159,7 @@ def save_fitting_run_info(cell_data, parameters, start_parameters, plot=False, s
c_cv = data_baseline.get_coefficient_of_variation() c_cv = data_baseline.get_coefficient_of_variation()
c_burst = data_baseline.get_burstiness() c_burst = data_baseline.get_burstiness()
data_fi_curve = get_fi_curve_class(cell_data, cell_data.get_fi_contrasts()) data_fi_curve = get_fi_curve_class(cell_data, cell_data.get_fi_contrasts(), save_dir=cell_data.get_data_path())
c_f_inf_slope = data_fi_curve.get_f_inf_slope() c_f_inf_slope = data_fi_curve.get_f_inf_slope()
c_f_inf_values = data_fi_curve.f_inf_frequencies c_f_inf_values = data_fi_curve.f_inf_frequencies