IKPLS
Table of Contents
Improved Kernel Partial Least Squares (IKPLS) and Fast Cross-Validation
API Reference
Contribution Guidelines
IKPLS
Index
Index
A
|
B
|
C
|
F
|
I
|
M
|
N
|
P
|
Q
|
R
|
S
|
T
|
W
|
X
|
Y
A
A (ikpls.jax.PLS attribute)
(ikpls.numpy.PLS attribute)
B
B (ikpls.jax.PLS attribute)
(ikpls.numpy.PLS attribute)
C
C (ikpls.jax.PLS attribute)
(ikpls.numpy.PLS attribute)
coef_ (ikpls.sklearn.PLS attribute)
cross_validate() (ikpls.fast_cross_validation.jax.PLS method)
(ikpls.fast_cross_validation.numpy.PLS method)
(ikpls.jax.PLS method)
(ikpls.numpy.PLS method)
F
fit() (ikpls.jax.PLS method)
(ikpls.numpy.PLS method)
(ikpls.sklearn.PLS method)
fit_transform() (ikpls.jax.PLS method)
(ikpls.numpy.PLS method)
(ikpls.sklearn.PLS method)
I
ikpls.fast_cross_validation.jax
module
ikpls.fast_cross_validation.numpy
module
ikpls.jax
module
ikpls.numpy
module
ikpls.sklearn
module
intercept_ (ikpls.sklearn.PLS attribute)
inverse_transform() (ikpls.jax.PLS method)
(ikpls.numpy.PLS method)
(ikpls.sklearn.PLS method)
M
max_stable_components (ikpls.jax.PLS attribute)
(ikpls.numpy.PLS attribute)
max_stable_components_ (ikpls.sklearn.PLS attribute)
module
ikpls.fast_cross_validation.jax
ikpls.fast_cross_validation.numpy
ikpls.jax
ikpls.numpy
ikpls.sklearn
N
n_features_in_ (ikpls.sklearn.PLS attribute)
P
P (ikpls.jax.PLS attribute)
(ikpls.numpy.PLS attribute)
PLS (class in ikpls.fast_cross_validation.jax)
(class in ikpls.fast_cross_validation.numpy)
(class in ikpls.jax)
(class in ikpls.numpy)
(class in ikpls.sklearn)
predict() (ikpls.jax.PLS method)
(ikpls.numpy.PLS method)
(ikpls.sklearn.PLS method)
predict_all_components() (ikpls.sklearn.PLS method)
Q
Q (ikpls.jax.PLS attribute)
(ikpls.numpy.PLS attribute)
R
R (ikpls.jax.PLS attribute)
(ikpls.numpy.PLS attribute)
R_Y (ikpls.jax.PLS attribute)
(ikpls.numpy.PLS attribute)
S
score() (ikpls.sklearn.PLS method)
stateless_fit() (ikpls.jax.PLS method)
stateless_fit_predict_eval() (ikpls.jax.PLS method)
stateless_predict() (ikpls.jax.PLS method)
T
T (ikpls.jax.PLS attribute)
(ikpls.numpy.PLS attribute)
transform() (ikpls.jax.PLS method)
(ikpls.numpy.PLS method)
(ikpls.sklearn.PLS method)
W
W (ikpls.jax.PLS attribute)
(ikpls.numpy.PLS attribute)
X
x_loadings_ (ikpls.sklearn.PLS attribute)
X_mean (ikpls.numpy.PLS attribute)
x_rotations_ (ikpls.sklearn.PLS attribute)
X_std (ikpls.numpy.PLS attribute)
x_weights_ (ikpls.sklearn.PLS attribute)
Y
y_loadings_ (ikpls.sklearn.PLS attribute)
Y_mean (ikpls.numpy.PLS attribute)
y_rotations_ (ikpls.sklearn.PLS attribute)
Y_std (ikpls.numpy.PLS attribute)
y_weights_ (ikpls.sklearn.PLS attribute)