AI & MACHINE LEARNING PROGRAM • LEVEL 15 — ANOMALY DETECTION
Calculate Reconstruction Error with Python
Learn calculate reconstruction error with python with a short, executable Python example.
PROBLEM UNDERSTANDING
Input and expected output
No input required
0.667
COMPLETE PYTHON PROGRAM
Complete Python implementation
original = [1,4,7] reconstructed = [1,3,8] error = sum((a-b)**2 for a,b in zip(original,reconstructed))/len(original) print(round(error,3))
CURRENT STEP
Select Start to walk through the important lines.
SELECTED LINE
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EXPECTED OUTPUT FOR THE SAMPLE
0.667
PROGRAM EXPLANATION
Algorithm and explanation
- Initialize the sample values used to calculate reconstruction error.
- Process the data step by step using Autoencoder and Reconstruction error.
- Display the result for calculate reconstruction error and compare it with the documented sample output.
This example of calculate reconstruction error processes the sample values in a controlled iteration. It demonstrates Autoencoder and Reconstruction error and prints a deterministic result that can be checked against the sample output.
EFFICIENCY
Time and space complexity
O(n)
O(1)
DEBUGGING CHECKLIST
Common mistakes
For calculate reconstruction error, keep the data shape and value types consistent with Autoencoder.
Keep every dependent statement inside the correct indented Python block.
Check denominators, numeric ranges and rounding before comparing the calculated value.