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Silviu Marian Udrescu 2020-05-15 04:08:52 -04:00 • committed by GitHub
parent 2a57f7935e
commit 63937159cc
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2 changed files with 32 additions and 21 deletions
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15
Code/S_run_aifeynman.py
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@ -25,8 +25,7 @@ from S_add_bf_on_numbers_on_pareto import add_bf_on_numbers_on_pareto
from dimensionalAnalysis import dimensionalAnalysis
PA = ParetoSet()
def run_AI_all(pathdir,filename,BF_try_time=60,BF_ops_file_type="14ops", polyfit_deg=4, NN_epochs=4000, PA = PA):
def run_AI_all(pathdir,filename,BF_try_time=60,BF_ops_file_type="14ops", polyfit_deg=4, NN_epochs=4000, PA=PA):
try:
os.mkdir("results/")
except:
@ -38,6 +37,7 @@ def run_AI_all(pathdir,filename,BF_try_time=60,BF_ops_file_type="14ops", polyfit
# Run bf and polyfit
PA = run_bf_polyfit(pathdir,pathdir,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg)
'''
# Run bf and polyfit on modified output
PA = get_acos(pathdir,"results/mystery_world_acos/",filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg)
PA = get_asin(pathdir,"results/mystery_world_asin/",filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg)
@ -50,7 +50,7 @@ def run_AI_all(pathdir,filename,BF_try_time=60,BF_ops_file_type="14ops", polyfit
PA = get_sqrt(pathdir,"results/mystery_world_sqrt/",filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg)
PA = get_squared(pathdir,"results/mystery_world_squared/",filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg)
PA = get_tan(pathdir,"results/mystery_world_tan/",filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg)
'''
#############################################################################################################################
# check if the NN is trained. If it is not, train it on the data.
print("Checking for symmetry \n", filename)
@ -136,7 +136,7 @@ def run_AI_all(pathdir,filename,BF_try_time=60,BF_ops_file_type="14ops", polyfit
return PA
# this runs snap on the output of aifeynman
def run_aifeynman(pathdir,filename,BF_try_time,BF_ops_file_type, polyfit_deg=4, NN_epochs=4000, vars_name=[],test_percentage=20):
def run_aifeynman(pathdir,filename,BF_try_time,BF_ops_file_type, polyfit_deg=4, NN_epochs=4000, vars_name=[],test_percentage=20):
# If the variable names are passed, do the dimensional analysis first
filename_orig = filename
try:
@ -162,9 +162,9 @@ def run_aifeynman(pathdir,filename,BF_try_time,BF_ops_file_type, polyfit_deg=4,
PA = ParetoSet()
# Run the code on the train data
PA = run_AI_all(pathdir,filename+"_train",BF_try_time,BF_ops_file_type, polyfit_deg, NN_epochs)
PA = run_AI_all(pathdir,filename+"_train",BF_try_time,BF_ops_file_type, polyfit_deg, NN_epochs, PA=PA)
PA_list = PA.get_pareto_points()
# Run bf snap on the resulted equations
for i in range(len(PA_list)):
try:
@ -172,7 +172,7 @@ def run_aifeynman(pathdir,filename,BF_try_time,BF_ops_file_type, polyfit_deg=4,
except:
continue
PA_list = PA.get_pareto_points()
np.savetxt("results/solution_before_snap_%s.txt" %filename,PA_list,fmt="%s")
# Run zero, integer and rational snap on the resulted equations
@ -215,3 +215,4 @@ def run_aifeynman(pathdir,filename,BF_try_time,BF_ops_file_type, polyfit_deg=4,
else:
save_data = np.column_stack((log_err,log_err_all,list_dt))
np.savetxt("results/solution_%s" %filename_orig,save_data,fmt="%s")