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View Code? Open in Web Editor NEWScripts to analyze and compare piezoelectric signature data for unique identification
Scripts to analyze and compare piezoelectric signature data for unique identification
FileNotFoundError Traceback (most recent call last)
Cell In[4], line 10
7 part_pdf_ci=0.999
8 confidence_bound=0.999
---> 10 run_experiment(part_type, part_dim, num_samples, meta_pdf_ci, part_pdf_ci, confidence_bound)
12 mlflow.log_param("part_type", part_type)
13 mlflow.log_param("part_dim", part_dim)
Cell In[1], line 156, in run_experiment(part_type, part_dim, num_samples, meta_pdf_ci, part_pdf_ci, confidence_bound)
154 def run_experiment(part_type: str, part_dim: int, num_samples: int, meta_pdf_ci: float, part_pdf_ci: float, confidence_bound: float):
--> 156 con_parts = load_part_data(part_type)
157 upper_collision_rate = run_meta_markov_multivariant_analysis(con_parts, part_dim, num_samples, meta_pdf_ci, part_pdf_ci, confidence_bound)
158 print(f"Upper collision rate: {upper_collision_rate * 100}%")
Cell In[1], line 30, in load_part_data(part_type)
27 def load_part_data(part_type: str) -> List[Part]:
29 parts = []
---> 30 for part_dir in os.listdir(f'psig_matcher/data/{part_type}'):
32 sensor = part_dir[1:]
33 measurement_files = glob.glob(f'psig_matcher/data/{part_type}/{part_dir}/*.npy')
FileNotFoundError: [WinError 3] The system cannot find the path specified: 'psig_matcher/data/CON'
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