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Amelioration visualisation des proba

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Harle, Antoine (Contracteur) 2019-11-13 16:18:53 -05:00
parent f0c0559e73
commit 93d91815f5
7 changed files with 720 additions and 211 deletions
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19
higher/compare_res.py
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@ -21,17 +21,22 @@ if __name__ == "__main__":
## Acc, Time, Epochs = f(n_tf) ##
fig_name="res/TF_seq_tests_compare"
inner_its = [10]
inner_its = [0]
dataug_epoch_starts= [0]
TF_nb = 14 #range(1,14+1)
N_seq_TF= [1, 2, 3, 4]
TF_nb = range(1,14+1)
N_seq_TF= [1] #, 2, 3, 4]
fig, ax = plt.subplots(ncols=3, figsize=(30, 8))
for in_it in inner_its:
for dataug in dataug_epoch_starts:
n_tf = TF_nb
#filenames =["res/TF_nb_tests/log/Aug_mod(Data_augV4(Uniform-{} TF)-LeNet)-200 epochs (dataug:{})- {} in_it.json".format(n_tf, dataug, in_it) for n_tf in TF_nb]
filenames =["res/TF_nb_tests/log/Aug_mod(Data_augV4(Uniform-{} TF x {})-LeNet)-200 epochs (dataug:{})- {} in_it.json".format(TF_nb, n_tf, dataug, in_it) for n_tf in N_seq_TF]
filenames =["res/TF_nb_tests/log/Aug_mod(Data_augV4(Uniform-{} TF x {})-LeNet)-100 epochs (dataug:{})- {} in_it.json".format(TF_nb, n_tf, dataug, in_it) for n_tf in N_seq_TF]
filenames =["res/TF_nb_tests/log/Aug_mod(Data_augV4(Uniform-{} TF x {})-LeNet)-200 epochs (dataug:{})- {} in_it.json".format(n_tf, 1, dataug, in_it) for n_tf in TF_nb]
#n_tf = N_seq_TF
#filenames =["res/TF_nb_tests/log/Aug_mod(Data_augV4(Uniform-{} TF x {})-LeNet)-200 epochs (dataug:{})- {} in_it.json".format(TF_nb, n_tf, dataug, in_it) for n_tf in N_seq_TF]
#filenames =["res/TF_nb_tests/log/Aug_mod(Data_augV4(Uniform-{} TF x {})-LeNet)-100 epochs (dataug:{})- {} in_it.json".format(TF_nb, n_tf, dataug, in_it) for n_tf in N_seq_TF]
all_data=[]
@ -41,9 +46,7 @@ if __name__ == "__main__":
with open(file) as json_file:
data = json.load(json_file)
all_data.append(data)
n_tf = N_seq_TF
#n_tf = [len(x["Param_names"]) for x in all_data]
acc = [x["Accuracy"] for x in all_data]
epochs = [len(x["Log"]) for x in all_data]
time = [x["Time"][0] for x in all_data]