| Issue | #Downvotes for this reason | By |
|---|
| degree | The degree of the polynomial features. Default = 2 | default: 2 |
| include_bias | If True (default), then include a bias column, the feature in which all polynomial powers are zero (i.e. a column of ones - acts as an intercept term in a linear model) Examples -------- >>> X = np.arange(6).reshape(3, 2) >>> X array([[0, 1], [2, 3], [4, 5]]) >>> poly = PolynomialFeatures(2) >>> poly.fit_transform(X) array([[ 1., 0., 1., 0., 0., 1.], [ 1., 2., 3., 4., 6., 9.], [ 1., 4., 5., 16., 20., 25.]]) >>> poly = PolynomialFeatures(interaction_only=True) >>> poly.fit_transform(X) array([[ 1., 0., 1., 0.], [ 1., 2., 3., 6.], [ 1., 4., 5., 20.]]) | default: true |
| interaction_only | If true, only interaction features are produced: features that are products of at most ``degree`` *distinct* input features (so not ``x[1] ** 2``, ``x[0] * x[2] ** 3``, etc.) | default: false |
Severity: Core Warning
Message: Module 'mysqli' already loaded
Filename: Unknown
Line Number: 0
Backtrace: