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def objective(trial): | |
with mlflow.start_run(nested=True): | |
print ("start trial") | |
# Suggest hyperparameters | |
C = trial.suggest_float('C', 0.1, 10.0) | |
epsilon = trial.suggest_float('epsilon', 0.01, 1.0) | |
kernel = trial.suggest_categorical('kernel', ['linear', 'poly', 'rbf', 'sigmoid']) | |
# Split the data into features and target | |
X = data[['HTTP_reply_code', 'Bytes']] |
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``` | |
root@server4:~# uname -a | |
Linux server4 6.5.11-7-pve #1 SMP PREEMPT_DYNAMIC PMX 6.5.11-7 (2023-12-05T09:44Z) x86_64 GNU/Linux | |
``` | |
``` | |
root@server4:~# nvidia-smi | |
Wed Dec 20 23:05:39 2023 | |
+---------------------------------------------------------------------------------------+ | |
| NVIDIA-SMI 535.129.03 Driver Version: 535.129.03 CUDA Version: N/A | |
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---- WGAN ----- | |
MAX CLASS 4293 | |
CLASS ID 1 | |
Traceback (most recent call last): | |
File "/home/yanboyang713/Documents/new/SyntheticOversampling/./src/runner.py", line 788, in <module> | |
main(case_to_run, repeats=repeats ,rp_threshold=rp_threshold) | |
File "/home/yanboyang713/Documents/new/SyntheticOversampling/./src/runner.py", line 517, in main | |
rt, X_train_new, y_train_new = WGANOversampling(X_train=X_train_GAN, | |
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
File "/home/yanboyang713/Documents/new/SyntheticOversampling/src/WGAN.py", line 183, in WGANOversampling |
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File "/home/yanboyang713/Documents/SyntheticOversampling/src/WGAN.py", line 48, in train_step * | |
fake_data = gen(noise, training=True) | |
File "/home/yanboyang713/Documents/SyntheticOversampling/test/lib/python3.10/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler ** | |
raise e.with_traceback(filtered_tb) from None | |
File "/tmp/__autograph_generated_file6v04vxxq.py", line 10, in tf__call | |
x = ag__.converted_call(ag__.ld(self).input_layer, (ag__.ld(inputs),), None, fscope) | |
ValueError: Exception encountered when calling layer 'generator_1' (type Generator). | |
in user code: |