DOC Uses float instead of real in cross_decomposition
@@ -499,7 +499,7 @@ class PLSRegression(_PLS):
The maximum number of iterations of the power method when
`algorithm='nipals'`. Ignored otherwise.
- tol : real, default 1e-06
+ tol : float, default=1e-06
The tolerance used as convergence criteria in the power method: the
algorithm stops whenever the squared norm of `u_i - u_{i-1}` is less
than `tol`, where `u` corresponds to the left singular vector.
@@ -597,7 +597,7 @@ class PLSCanonical(_PLS):
the maximum number of iterations of the power method when
`algorithm='nipals'`. Ignored otherwise.
- tol : real, default 1e-06
+ tol : float, default=1e-06
The tolerance used as convergence criteria in the power method: the
algorithm stops whenever the squared norm of `u_i - u_{i-1}` is less
than `tol`, where `u` corresponds to the left singular vector.
@@ -703,7 +703,7 @@ class CCA(_PLS):
max_iter : int, default=500
the maximum number of iterations of the power method.
- tol : real, default 1e-06
+ tol : float, default=1e-06
The tolerance used as convergence criteria in the power method: the
algorithm stops whenever the squared norm of `u_i - u_{i-1}` is less
than `tol`, where `u` corresponds to the left singular vector.
