[Solved] Why might curve_fit return a warning about the covariance matrix being infinite or not estimated? — Ans: Because the model parameters are not identifiable from the data | SciPy

SciPy - Curve Fitting and Regression

Why might curve_fit return a warning about the covariance matrix being infinite or not estimated?

ABecause initial guess p0 was not provided

BBecause the model parameters are not identifiable from the data

CBecause the model function is linear

DBecause the data arrays are too small

Step-by-Step Solution

Solution:

Step 1: Understand covariance matrix meaning
Covariance matrix shows uncertainty in parameter estimates.
Step 2: Identify cause of infinite covariance
If parameters cannot be uniquely determined from data, covariance is infinite or undefined.
Final Answer:
Because the model parameters are not identifiable from the data -> Option B
Quick Check:
Non-identifiable parameters cause infinite covariance warning [OK]

Quick Trick: Infinite covariance means parameters can't be uniquely found [OK]

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Why might curve_fit return a warning about the covariance matrix being infinite or not estimated?