Assertion Error when running 6. Results & Download

[shiitavie]

============================================================
DATA QUALITY CHECKS
============================================================

✓ Unique patients: 360
---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
/tmp/ipython-input-3022322587.py in <cell line: 0>()
      7 unique_patients = df['SUBJECT_ID'].nunique()
      8 print(f"\n✓ Unique patients: {unique_patients}")
----> 9 assert unique_patients == N_SYNTHETIC_SAMPLES, f"Expected {N_SYNTHETIC_SAMPLES} patients"
     10 
     11 # Check 2: No empty values

AssertionError: Expected 1000 patients

[jalengg]

Wondering if this assertion even makes sense to keep, if the training parameters are very loose then our synthetic data (demo purposes) won't be very good at having unique patients. Might find a way to just surface the data quality stats without blocking the rest of the notebook

[shiitavie]

i agree. we can just output a quality check statement with the number of unique patients and total patients we requested.