Dear scikit learn list, I am new to scikit-learn. I am getting confused about LinearRegression.
For example, from sklearn.datasets import load_boston from sklearn.linear_model import LinearRegression boston = load_boston() X = boston.data y = boston.target model1 = LinearRegression() model1.fit(X, y) print(model.coef) I got a few questions: 1) When I do model1.fit(X, y), don't I have to save it? Does object model1 automatically gets trained/updated? Since I don't see any output, how do I know what has been done to the model1? 2) Is there a command to see what's masked under sklearn, like sklearn.datasets, sklearn.linear_model, and all of it? 3) Why do we need load_boston() to load boston data? I thought we just imported it, so it should be ready to use. Thank you very much! Mike
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