(.venv) impactlab@en4230651l:/drive2$ cd /drive2/Kuntal/Pysindy-experiment/RHO_exp/messidor-1.py
bash: cd: /drive2/Kuntal/Pysindy-experiment/RHO_exp/messidor-1.py: Not a directory
(.venv) impactlab@en4230651l:/drive2$ cd /drive2/Kuntal/Pysindy-experiment/RHO_exp
(.venv) impactlab@en4230651l:/drive2/Kuntal/Pysindy-experiment/RHO_exp$ python3 /drive2/Kuntal/Pysindy-experiment/RHO_exp/messidor-1.py
CuPy not available. Using NumPy for array operations.
Using GPU: NVIDIA RTX 6000 Ada Generation
Using generated dummy data.
Training set: 1800 samples
Validation set: 1200 samples
Running experiment with CPU...
Will process 1800 training samples as Q vectors
Each Q will be evaluated against 1200 validation samples
Processing theta 1/1800...
  - Processed 1200 validation samples for this theta
Processing theta 101/1800...
  - Processed 1200 validation samples for this theta
Processing theta 201/1800...
  - Processed 1200 validation samples for this theta
Processing theta 301/1800...
  - Processed 1200 validation samples for this theta
Processing theta 401/1800...
  - Processed 1200 validation samples for this theta
Processing theta 501/1800...
  - Processed 1200 validation samples for this theta
Processing theta 601/1800...
  - Processed 1200 validation samples for this theta
Processing theta 701/1800...
  - Processed 1200 validation samples for this theta
Processing theta 801/1800...
  - Processed 1200 validation samples for this theta
Processing theta 901/1800...
  - Processed 1200 validation samples for this theta
Processing theta 1001/1800...
  - Processed 1200 validation samples for this theta
Processing theta 1101/1800...
  - Processed 1200 validation samples for this theta
Processing theta 1201/1800...
  - Processed 1200 validation samples for this theta
Processing theta 1301/1800...
  - Processed 1200 validation samples for this theta
Processing theta 1401/1800...
  - Processed 1200 validation samples for this theta
Processing theta 1501/1800...
  - Processed 1200 validation samples for this theta
Processing theta 1601/1800...
  - Processed 1200 validation samples for this theta
Processing theta 1701/1800...
  - Processed 1200 validation samples for this theta
Total number of subtracted sigma_j_m values for confidence interval: 3240000
Selected index using formula: 1539000 (of 3240000 values)
Selected σ_m value: -0.014539650469939325
Confidence interval: [-0.014539650469939325, 0.014539650469939325]

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

Results (averaged over 1800 theta vectors):
- Average ρ_avg (training): 1.9243936686693461
- Overall confidence interval: [-0.014539650469939325, 0.014539650469939325]

Experiment Results Summary:
Total runtime: 6.86 seconds
Average ρ_avg (training): 1.9243936686693461
Overall confidence interval: [-0.014539650469939325, 0.014539650469939325]

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



(.venv) impactlab@en4230651l:/drive2$ python /drive2/Kuntal/Pysindy-experiment/RHO_exp/messidor-1.py
CuPy not available. Using NumPy for array operations.
Using GPU: NVIDIA RTX 6000 Ada Generation
Loading theta data from /drive2/Kuntal/Pysindy-experiment/M1-output/messidor_all_thetas.npy
Loading theta IDs from /drive2/Kuntal/Pysindy-experiment/M1-output/messidor_theta_ids.npy
Loaded 1200 theta vectors with shape (1200, 3, 20)
Training set: 720 samples
Validation set: 480 samples
Running experiment with CPU...
Will process 720 training samples as Q vectors
Each Q will be evaluated against 480 validation samples
Processing theta 1/720...
  - Processed 480 validation samples for this theta
Processing theta 101/720...
  - Processed 480 validation samples for this theta
Processing theta 201/720...
  - Processed 480 validation samples for this theta
Processing theta 301/720...
  - Processed 480 validation samples for this theta
Processing theta 401/720...
  - Processed 480 validation samples for this theta
Processing theta 501/720...
  - Processed 480 validation samples for this theta
Processing theta 601/720...
  - Processed 480 validation samples for this theta
Processing theta 701/720...
  - Processed 480 validation samples for this theta
Total number of subtracted sigma_j_m values for confidence interval: 518400
Selected index using formula: 246240 (of 518400 values)
Selected σ_m value: -0.03824305970024752
Confidence interval: [-0.03824305970024752, 0.03824305970024752]

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

Results (averaged over 720 theta vectors):
- Average ρ_avg (training): 0.04047960306748797
- Overall confidence interval: [-0.03824305970024752, 0.03824305970024752]

Experiment Results Summary:
Total runtime: 1.08 seconds
Average ρ_avg (training): 0.04047960306748797
Overall confidence interval: [-0.03824305970024752, 0.03824305970024752]

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