[scikit-learn] PolynomialFeatures

[Sole Galli]

Hello team,

Can I double check with you that I understand correctly what the
PolynomialFeatures() is doing under the hood?

If I set it like this:

poly = PolynomialFeatures(degree=3, interaction_only=False,
include_bias=False)

and I fit it on a dataset with 3 variables, a,b and c.

Am I correct to say that the fit() method creates all possible combinations
like this:
a;
b;
c;
(a+b)^2
(a+b)^3
(a+c)^2
(a+c)^3
(c+b)^2
(c+b)^3
(a+b+c)^2
(a+b+c)^3

And the transform() generates the expansion, without the constant that
multiplies the interactions and avoiding duplicated terms after the
expansion?

Thanks for the help.

Kind regards

Sole
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