increase f_zero points weight
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@ -235,6 +235,8 @@ class ModelFit:
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if save_path is None:
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if save_path is None:
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plt.show()
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plt.show()
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else:
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else:
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if not os.path.exists(save_path):
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os.makedirs(save_path)
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plt.savefig(save_path + cell.get_cell_name() + "_master_plot.pdf")
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plt.savefig(save_path + cell.get_cell_name() + "_master_plot.pdf")
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plt.close()
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plt.close()
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@ -14,13 +14,13 @@ from my_util.helperFunctions import plot_errors
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import multiprocessing as mp
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import multiprocessing as mp
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SAVE_DIRECTORY = "./results/final_sam/"
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SAVE_DIRECTORY = "./results/final_sam2/"
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SAVE_DIRECTORY_BEST = "./results/final_sam_best/"
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# SAVE_DIRECTORY_BEST = "./results/final_sam2_best/"
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# SAVE_DIRECTORY = "./results/ref_and_tau/no_dend_tau/"
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# SAVE_DIRECTORY = "./results/ref_and_tau/no_dend_tau/"
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# SAVE_DIRECTORY_BEST = "./results/ref_and_tau/ndt_best/"
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# SAVE_DIRECTORY_BEST = "./results/ref_and_tau/ndt_best/"
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# [vs, sc, cv, isi_hist, bursty, f_inf, f_inf_slope, f_zero, f_zero_slope, f0_curve]
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# [vs, sc, cv, isi_hist, bursty, f_inf, f_inf_slope, f_zero, f_zero_slope, f0_curve]
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ERROR_WEIGHTS = (1, 1, 1, 1, 1, 1, 1, 1, 0, 1)
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ERROR_WEIGHTS = (1, 1, 1, 1, 1, 1, 1, 10, 0, 1)
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def main():
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def main():
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@ -108,7 +108,7 @@ def fit_cell_parallel(cell_data, start_parameters):
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del cell_data
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del cell_data
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best_fit = get_best_fit(save_path_cell)
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best_fit = get_best_fit(save_path_cell)
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best_fit.generate_master_plot(SAVE_DIRECTORY_BEST)
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# best_fit.generate_master_plot(SAVE_DIRECTORY_BEST)
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best_fit.generate_master_plot(SAVE_DIRECTORY)
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best_fit.generate_master_plot(SAVE_DIRECTORY)
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