DOC removed algorithm parameter of CCA
@@ -700,14 +700,8 @@ class CCA(_PLS):
scale : bool, default=True
Whether to scale `X` and `Y`.
- algorithm : {'nipals', 'svd'}, default='nipals'
- The algorithm used to estimate the first singular vectors of the
- cross-covariance matrix. 'nipals' uses the power method while 'svd'
- will compute the whole SVD.
-
max_iter : int, default=500
- the maximum number of iterations of the power method when
- `algorithm='nipals'`. Ignored otherwise.
+ the maximum number of iterations of the power method.
tol : real, default 1e-06
The tolerance used as convergence criteria in the power method: the
@@ -763,7 +757,7 @@ class CCA(_PLS):
n_iter_ : list of shape (n_components,)
Number of iterations of the power method, for each
- component. Empty if `algorithm='svd'`.
+ component.
Examples
--------
