Scikit-Learn
48
fit_intercept
:
Boolean,
optional.
Default=True
This parameter specifies that a constant (bias or
intercept) should
be added to the decision
function. No intercept will be used in calculation, if
it will set to false.
tol
: float, optional
This parameter represents
the tolerance for the
optimization. The
tol
value and updates would be
compared and if
found updates smaller than
tol
,
the optimization checks the dual gap for optimality
and continues until it is smaller than
tol.
normalise
: Boolean, optional, default =
False
If this parameter is set to True, the regressor X will
be
normalised
before
regression.
The
normalisation will be done by subtracting the mean
and dividing it by L2 norm. If
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