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Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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K
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L
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M
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N
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O
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P
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Q
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R
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S
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T
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U
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V
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W
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Z
A
abs() (in module tensorly)
active_set_nnls() (in module tensorly.solvers.nnls)
admm() (in module tensorly.solvers.admm)
all() (in module tensorly)
arange() (in module tensorly)
argmax() (in module tensorly)
argmin() (in module tensorly)
B
backend_context() (in module tensorly)
(in module tensorly.tenalg)
batched_outer() (in module tensorly.tenalg)
C
check_random_state() (in module tensorly)
clip() (in module tensorly)
concatenate() (in module tensorly)
congruence_coefficient() (in module tensorly.metrics.factors)
conj() (in module tensorly)
constrained_parafac() (in module tensorly.decomposition)
ConstrainedCP (class in tensorly.decomposition)
context() (in module tensorly)
copy() (in module tensorly)
correlation_index() (in module tensorly.metrics)
CP (class in tensorly.decomposition)
cp_mode_dot() (in module tensorly.cp_tensor)
CP_NN_HALS (class in tensorly.decomposition)
cp_norm() (in module tensorly.cp_tensor)
cp_normalize() (in module tensorly.cp_tensor)
cp_permute_factors() (in module tensorly.cp_tensor)
CP_PLSR (class in tensorly.regression)
cp_to_tensor() (in module tensorly.cp_tensor)
cp_to_unfolded() (in module tensorly.cp_tensor)
cp_to_vec() (in module tensorly.cp_tensor)
CPPower (class in tensorly.decomposition)
CPRegressor (class in tensorly.regression.cp_regression)
D
diag() (in module tensorly)
dot() (in module tensorly)
E
eps() (in module tensorly)
eye() (in module tensorly)
F
finfo() (in module tensorly)
fista() (in module tensorly.solvers.nnls)
fit() (CP_PLSR method)
(CPRegressor method)
(TuckerRegressor method)
fit_transform() (ConstrainedCP method)
(CP method)
(CP_NN_HALS method)
(CP_PLSR method)
(CPPower method)
(Parafac2 method)
fold() (in module tensorly.base)
G
gen_image() (in module tensorly.datasets.synthetic)
get_backend() (in module tensorly)
(in module tensorly.tenalg)
get_params() (CP_PLSR method)
(CPRegressor method)
(TuckerRegressor method)
H
hals_nnls() (in module tensorly.solvers.nnls)
higher_order_moment() (in module tensorly.tenalg)
I
index() (in module tensorly)
index_update() (in module tensorly)
inner() (in module tensorly.tenalg)
is_tensor() (in module tensorly)
K
khatri_rao() (in module tensorly.tenalg)
kr() (in module tensorly)
kron() (in module tensorly)
kronecker() (in module tensorly.tenalg)
L
load_covid19_serology() (in module tensorly.datasets)
load_IL2data() (in module tensorly.datasets)
load_indian_pines() (in module tensorly.datasets)
load_kinetic() (in module tensorly.datasets)
M
matmul() (in module tensorly)
max() (in module tensorly)
mean() (in module tensorly)
min() (in module tensorly)
mode_dot() (in module tensorly.tenalg)
module
tensorly
tensorly.base
tensorly.contrib
tensorly.contrib.sparse
tensorly.cp_tensor
tensorly.datasets
tensorly.decomposition
tensorly.metrics
tensorly.parafac2_tensor
tensorly.plugins
tensorly.preprocessing
tensorly.random
tensorly.regression
tensorly.solvers
tensorly.tenalg
tensorly.tt_matrix
tensorly.tt_tensor
tensorly.tucker_tensor
moveaxis() (in module tensorly)
MSE() (in module tensorly.metrics.regression)
multi_mode_dot() (in module tensorly.tenalg)
N
ndim() (in module tensorly)
non_negative_parafac() (in module tensorly.contrib.sparse.decomposition)
(in module tensorly.decomposition)
non_negative_parafac_hals() (in module tensorly.decomposition)
non_negative_tucker() (in module tensorly.contrib.sparse.decomposition)
(in module tensorly.decomposition)
non_negative_tucker_hals() (in module tensorly.decomposition)
norm() (in module tensorly)
O
ones() (in module tensorly)
outer() (in module tensorly.tenalg)
P
pad_tt_rank() (in module tensorly.tt_tensor)
parafac() (in module tensorly.contrib.sparse.decomposition)
(in module tensorly.decomposition)
Parafac2 (class in tensorly.decomposition)
parafac2() (in module tensorly.decomposition)
parafac2_to_slice() (in module tensorly.parafac2_tensor)
parafac2_to_slices() (in module tensorly.parafac2_tensor)
parafac2_to_tensor() (in module tensorly.parafac2_tensor)
parafac2_to_unfolded() (in module tensorly.parafac2_tensor)
parafac2_to_vec() (in module tensorly.parafac2_tensor)
parafac_power_iteration() (in module tensorly.decomposition)
partial_fold() (in module tensorly.base)
partial_tensor_to_vec() (in module tensorly.base)
partial_tucker() (in module tensorly.contrib.sparse.decomposition)
(in module tensorly.decomposition)
partial_unfold() (in module tensorly.base)
partial_vec_to_tensor() (in module tensorly.base)
power_iteration() (in module tensorly.decomposition)
predict() (CP_PLSR method)
(CPRegressor method)
(TuckerRegressor method)
procrustes() (in module tensorly.tenalg.proximal)
prod() (in module tensorly)
Python Enhancement Proposals
PEP 465
Q
qr() (in module tensorly)
R
random_cp() (in module tensorly.random)
random_parafac2() (in module tensorly.random)
random_tt() (in module tensorly.random)
random_tt_matrix() (in module tensorly.random)
random_tucker() (in module tensorly.random)
randomised_parafac() (in module tensorly.decomposition)
RandomizedCP (class in tensorly.decomposition)
reshape() (in module tensorly)
RMSE() (in module tensorly.metrics.regression)
robust_pca() (in module tensorly.contrib.sparse.decomposition)
(in module tensorly.decomposition)
S
sample_khatri_rao() (in module tensorly.decomposition)
score() (CP_PLSR method)
set_backend() (in module tensorly)
(in module tensorly.tenalg)
set_params() (CP_PLSR method)
(CPRegressor method)
(TuckerRegressor method)
shape() (in module tensorly)
sign() (in module tensorly)
soft_thresholding() (in module tensorly.tenalg.proximal)
solve() (in module tensorly)
sort() (in module tensorly)
sqrt() (in module tensorly)
stack() (in module tensorly)
sum() (in module tensorly)
svd_compress_tensor_slices() (in module tensorly.preprocessing)
svd_decompress_parafac2_tensor() (in module tensorly.preprocessing)
svd_interface() (in module tensorly.tenalg)
svd_thresholding() (in module tensorly.tenalg.proximal)
symmetric_parafac_power_iteration() (in module tensorly.contrib.sparse.decomposition)
(in module tensorly.decomposition)
symmetric_power_iteration() (in module tensorly.decomposition)
SymmetricCP (class in tensorly.decomposition)
T
tensor() (in module tensorly)
tensor_ring() (in module tensorly.decomposition)
tensor_to_vec() (in module tensorly.base)
tensor_train() (in module tensorly.decomposition)
tensor_train_cross() (in module tensorly.contrib.decomposition)
tensor_train_matrix() (in module tensorly.decomposition)
tensor_train_OI() (in module tensorly.contrib.decomposition)
tensordot() (in module tensorly)
(in module tensorly.tenalg)
tensorly
module
tensorly.base
module
tensorly.contrib
module
tensorly.contrib.sparse
module
tensorly.cp_tensor
module
tensorly.datasets
module
tensorly.decomposition
module
tensorly.metrics
module
tensorly.parafac2_tensor
module
tensorly.plugins
module
tensorly.preprocessing
module
tensorly.random
module
tensorly.regression
module
tensorly.solvers
module
tensorly.tenalg
module
tensorly.tt_matrix
module
tensorly.tt_tensor
module
tensorly.tucker_tensor
module
TensorRing (class in tensorly.decomposition)
TensorTrain (class in tensorly.decomposition)
TensorTrainMatrix (class in tensorly.decomposition)
to_numpy() (in module tensorly)
transform() (CP_PLSR method)
transpose() (in module tensorly)
tt_matrix_to_tensor() (in module tensorly.tt_matrix)
tt_matrix_to_unfolded() (in module tensorly.tt_matrix)
tt_matrix_to_vec() (in module tensorly.tt_matrix)
tt_to_tensor() (in module tensorly.tt_tensor)
tt_to_unfolded() (in module tensorly.tt_tensor)
tt_to_vec() (in module tensorly.tt_tensor)
Tucker (class in tensorly.decomposition)
tucker() (in module tensorly.contrib.sparse.decomposition)
(in module tensorly.decomposition)
tucker_mode_dot() (in module tensorly.tucker_tensor)
tucker_to_tensor() (in module tensorly.tucker_tensor)
tucker_to_unfolded() (in module tensorly.tucker_tensor)
tucker_to_vec() (in module tensorly.tucker_tensor)
TuckerRegressor (class in tensorly.regression.tucker_regression)
U
unfold() (in module tensorly.base)
unfolding_dot_khatri_rao() (in module tensorly.tenalg)
use_cuquantum() (in module tensorly.plugins)
use_default_einsum() (in module tensorly.plugins)
use_dynamic_dispatch() (in module tensorly)
use_opt_einsum() (in module tensorly.plugins)
use_static_dispatch() (in module tensorly)
V
vec_to_tensor() (in module tensorly.base)
W
where() (in module tensorly)
Z
zeros() (in module tensorly)
zeros_like() (in module tensorly)