Which approach correctly integrates SciPy's gaussian_filter into the pipeline?
hard📝 Application Q8 of 15
SciPy - Integration with Scientific Ecosystem
You want to create a pipeline that first applies a SciPy Gaussian filter to smooth data, then fits a linear regression model. Which approach correctly integrates SciPy's gaussian_filter into the pipeline?
ACall <code>gaussian_filter</code> directly inside the LinearRegression fit method
BReplace LinearRegression with gaussian_filter in the pipeline
CWrap <code>gaussian_filter</code> in a FunctionTransformer and include it as a pipeline step
DUse gaussian_filter as a parameter in LinearRegression constructor
Step-by-Step Solution
Solution:
Step 1: Understand pipeline step requirements
Pipeline steps must be transformers or estimators with fit/transform methods.
Step 2: Integrate SciPy function
Wrapping gaussian_filter in FunctionTransformer allows it to be used as a transformer step.
Final Answer:
Wrap gaussian_filter in a FunctionTransformer and include it as a pipeline step -> Option C
Quick Check:
SciPy functions need wrapping to fit pipeline [OK]
Quick Trick:Wrap SciPy functions with FunctionTransformer for pipelines [OK]
Common Mistakes:
Calling SciPy functions inside model fit
Replacing model with SciPy function
Passing SciPy function as model parameter
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