Chapter 7

Support code for Chapter 7: Regression

Boston data analysis

This dataset is shipped with sklearn. Thus, no extra download is required.

boston1.py: Fit a linear regression model to the Boston house price data
boston1numpy.py: Version of above script using numpy operations for linear regression
boston_cv_penalized.py: Test different penalized (and OLS) regression schemes on the Boston dataset
figure1_2.py: Show the regression line for Boston data
figure3.py: Show the regression line for Boston data with OLS and Lasso
figure4.py: Scatter plot of predicted-vs-actual for multidimensional regression

lr10k.py: Linear regression on 10K dataset, evaluation by cross-validation
predict10k_en.py: Elastic nets (including with inner cross-validation for parameter settings). Produces scatter plot.

In this chapter, we only consider a very simple approach, which is implemented in the usermodel.py script.