You want to fit a model with parameters that must be positive. How can you enforce this constraint using curve_fit?

hard📝 Application Q9 of 15

SciPy - Curve Fitting and Regression

You want to fit a model with parameters that must be positive. How can you enforce this constraint using curve_fit?

AUse the <code>bounds</code> parameter to set lower bounds to zero

BManually set negative parameters to zero after fitting

CUse linear regression instead of curve_fit

DIgnore constraints; curve_fit handles positivity automatically

Step-by-Step Solution

Solution:

Step 1: Understand parameter constraints in curve_fit
curve_fit supports bounds to restrict parameter values during fitting.
Step 2: Set lower bounds to zero
Use bounds=(0, np.inf) to ensure parameters stay positive.
Final Answer:
Use the bounds parameter to set lower bounds to zero -> Option A
Quick Check:
Bounds enforce parameter limits in curve_fit [OK]

Quick Trick: Use bounds=(0, np.inf) to keep parameters positive [OK]

Common Mistakes:

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