(.venv) impactlab@en4230651l:/drive2/Kuntal/Pysindy-experiment/RHO_exp$ python /drive2/Kuntal/Pysindy-experiment/RHO_exp/aptos.py
CuPy not available. Using NumPy for array operations.
Using GPU: NVIDIA RTX 6000 Ada Generation
Loading theta data from /drive2/Kuntal/Pysindy-experiment/aptos_theta_data/aptos_all_thetas.npy
Loading theta IDs from /drive2/Kuntal/Pysindy-experiment/aptos_theta_data/aptos_theta_ids.npy
Loaded 3662 theta vectors with shape (3662, 3, 20)
Training set: 2197 samples
Validation set: 1465 samples
Running experiment with CPU...
Will process 2197 training samples as Q vectors
Each Q will be evaluated against 1465 validation samples
Processing theta 1/2197...
  - Processed 1465 validation samples for this theta
Processing theta 101/2197...
  - Processed 1465 validation samples for this theta
Processing theta 201/2197...
  - Processed 1465 validation samples for this theta
Processing theta 301/2197...
  - Processed 1465 validation samples for this theta
Processing theta 401/2197...
  - Processed 1465 validation samples for this theta
Processing theta 501/2197...
  - Processed 1465 validation samples for this theta
Processing theta 601/2197...
  - Processed 1465 validation samples for this theta
Processing theta 701/2197...
  - Processed 1465 validation samples for this theta
Processing theta 801/2197...
  - Processed 1465 validation samples for this theta
Processing theta 901/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1001/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1101/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1201/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1301/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1401/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1501/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1601/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1701/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1801/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1901/2197...
  - Processed 1465 validation samples for this theta
Processing theta 2001/2197...
  - Processed 1465 validation samples for this theta
Processing theta 2101/2197...
  - Processed 1465 validation samples for this theta
Total number of subtracted sigma_j_m values for confidence interval: 4826809
Selected index using formula: 2292735 (of 4826809 values)
Selected σ_m value: -70.29562184584013
Confidence interval: [-70.29562184584013, 70.29562184584013]

Experiment Settings:
- Using CPU acceleration
- Theta vectors normalized to unit length

Results (averaged over 2197 theta vectors):
- Average ρ_avg (training): 38.62470375450347
- Overall confidence interval: [-70.29562184584013, 70.29562184584013]

Experiment Results Summary:
Total runtime: 10.83 seconds
Average ρ_avg (training): 38.62470375450347
Overall confidence interval: [-70.29562184584013, 70.29562184584013]

Conclusion: No significant difference between training and validation performance.
(.venv) impactlab@en4230651l:/drive2/Kuntal/Pysindy-experiment/RHO_exp$ 



(.venv) impactlab@en4230651l:/drive2/Kuntal/Pysindy-experiment/RHO_exp$ python /drive2/Kuntal/Pysindy-experiment/RHO_exp/aptos.py
CuPy not available. Using NumPy for array operations.
Using GPU: NVIDIA RTX 6000 Ada Generation
Loading theta data from /drive2/Kuntal/Pysindy-experiment/aptos_theta_data/aptos_all_thetas.npy
Loading theta IDs from /drive2/Kuntal/Pysindy-experiment/aptos_theta_data/aptos_theta_ids.npy
Loaded 3662 theta vectors with shape (3662, 3, 20)
Training set: 2197 samples
Validation set: 1465 samples
Running experiment with CPU...
Will process 2197 training samples as Q vectors
Each Q will be evaluated against 1465 validation samples
Processing theta 1/2197...
  - Processed 1465 validation samples for this theta
Processing theta 101/2197...
  - Processed 1465 validation samples for this theta
Processing theta 201/2197...
  - Processed 1465 validation samples for this theta
Processing theta 301/2197...
  - Processed 1465 validation samples for this theta
Processing theta 401/2197...
  - Processed 1465 validation samples for this theta
Processing theta 501/2197...
  - Processed 1465 validation samples for this theta
Processing theta 601/2197...
  - Processed 1465 validation samples for this theta
Processing theta 701/2197...
  - Processed 1465 validation samples for this theta
Processing theta 801/2197...
  - Processed 1465 validation samples for this theta
Processing theta 901/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1001/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1101/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1201/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1301/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1401/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1501/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1601/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1701/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1801/2197...
  - Processed 1465 validation samples for this theta
Processing theta 1901/2197...
  - Processed 1465 validation samples for this theta
Processing theta 2001/2197...
  - Processed 1465 validation samples for this theta
Processing theta 2101/2197...
  - Processed 1465 validation samples for this theta
Total number of subtracted sigma_j_m values for confidence interval: 4826809
Selected index using formula: 2292735 (of 4826809 values)
Selected σ_m value: -0.0596098734708454
Confidence interval: [-0.0596098734708454, 0.0596098734708454]

Experiment Settings:
- Using CPU acceleration
- Theta vectors normalized to unit length

Results (averaged over 2197 theta vectors):
- Average ρ_avg (training): 0.018978290495836176
- Overall confidence interval: [-0.0596098734708454, 0.0596098734708454]

Experiment Results Summary:
Total runtime: 11.40 seconds
Average ρ_avg (training): 0.018978290495836176
Overall confidence interval: [-0.0596098734708454, 0.0596098734708454]

Conclusion: No significant difference between training and validation performance.
(.venv) impactlab@en4230651l:/drive2/Kuntal/Pysindy-experiment/RHO_exp$ 