Yes, they make a lot sense. Thanks! I wanted to ask a follow-up:
> LinearRegression().fit(X, y) When I do this, where is everything saved? Or does it disappear after I run it? Thank you! On Sun, Jun 4, 2017 at 6:40 PM, Guillaume Lemaitre <g.lemaitr...@gmail.com> wrote: > Hope it helps. I answered in the original message > > G > *From: *C W > *Sent: *Monday, 5 June 2017 00:31 > *To: *scikit-learn@python.org > *Reply To: *Scikit-learn user and developer mailing list > *Subject: *[scikit-learn] How to best understand scikit-learn and know > its modules and methods? > > 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? > > The model has been fitted (trained in place). model1 will contain all info > learnt directly. In addition, the output will be a fitted model1 because > fit return self. Normally, model1.fit(X,y) will print LinearRegression(...) > > 2) Is there a command to see what's masked under sklearn, like > sklearn.datasets, sklearn.linear_model, and all of it? > > You can check the documentation API. I think that this is the best user > friendly thing that you can start with. > > 3) Why do we need load_boston() to load boston data? I thought we just > imported it, so it should be ready to use. > > Load_boston() is a helper function which will load the data. Importing > load_boston will import the function not the data. Calling the imported > function will load the data. > > Thank you very much! > > Mike > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > >
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