pyttb
Getting Started
Reference (
pyttb
)
BibTex Entries: Tensor Toolbox for Python
pyttb
Index
Index
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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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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
_
__add__() (pyttb.ktensor method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.tenmat method)
__deepcopy__() (pyttb.ktensor method)
(pyttb.sptenmat method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.tenmat method)
(pyttb.ttensor method)
__delattr__() (in module pyttb.tensor)
__dir__() (in module pyttb.tensor)
__eq__() (pyttb.create_problem.MissingData method)
(pyttb.sptensor method)
__format__() (in module pyttb.tensor)
__ge__() (pyttb.sptensor method)
__getattribute__() (in module pyttb.tensor)
__getitem__() (pyttb.sptensor method)
(pyttb.tenmat method)
__gt__() (pyttb.sptensor method)
__hash__ (pyttb.create_problem.MissingData attribute)
(pyttb.sptensor attribute)
__init__() (pyttb.create_problem.BaseProblem method)
(pyttb.create_problem.CPProblem method)
(pyttb.create_problem.ExistingCPSolution method)
(pyttb.create_problem.ExistingSolution method)
(pyttb.create_problem.ExistingTuckerSolution method)
(pyttb.create_problem.MissingData method)
(pyttb.create_problem.TuckerProblem method)
(pyttb.decompositions.cp.gcp.optimizers.Adagrad method)
(pyttb.decompositions.cp.gcp.optimizers.Adam method)
(pyttb.decompositions.cp.gcp.optimizers.LBFGSB method)
(pyttb.decompositions.cp.gcp.optimizers.LBFGSB.Monitor method)
(pyttb.decompositions.cp.gcp.optimizers.StochasticSolver method)
(pyttb.decompositions.cp.gcp.samplers.GCPSampler method)
(pyttb.decompositions.cp.gcp.samplers.StratifiedCount method)
(pyttb.ktensor method)
(pyttb.sptenmat method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.tenmat method)
(pyttb.ttensor method)
__init_subclass__() (in module pyttb.tensor)
__le__() (pyttb.sptensor method)
__lt__() (pyttb.sptensor method)
__mul__() (pyttb.ktensor method)
(pyttb.sptensor method)
(pyttb.tenmat method)
(pyttb.ttensor method)
__ne__() (pyttb.sptensor method)
__neg__() (pyttb.ktensor method)
(pyttb.sptenmat method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.tenmat method)
(pyttb.ttensor method)
__new__() (in module pyttb.tensor)
(pyttb.create_problem.BaseProblem method)
(pyttb.create_problem.CPProblem method)
(pyttb.create_problem.ExistingCPSolution method)
(pyttb.create_problem.ExistingSolution method)
(pyttb.create_problem.ExistingTuckerSolution method)
(pyttb.create_problem.TuckerProblem method)
__pos__() (pyttb.ktensor method)
(pyttb.sptenmat method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.tenmat method)
(pyttb.ttensor method)
__radd__() (pyttb.sumtensor method)
(pyttb.tenmat method)
__reduce__() (in module pyttb.tensor)
__reduce_ex__() (in module pyttb.tensor)
__repr__() (pyttb.create_problem.MissingData method)
(pyttb.ktensor method)
(pyttb.sptenmat method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.tenmat method)
(pyttb.ttensor method)
__rmul__() (pyttb.ktensor method)
(pyttb.sptensor method)
(pyttb.tenmat method)
(pyttb.ttensor method)
__rsub__() (pyttb.tenmat method)
__rtruediv__() (pyttb.sptensor method)
__setattr__() (in module pyttb.tensor)
__setitem__() (pyttb.sptenmat method)
(pyttb.sptensor method)
(pyttb.tenmat method)
__sizeof__() (in module pyttb.tensor)
__str__() (pyttb.ktensor method)
(pyttb.sptenmat method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.tenmat method)
(pyttb.ttensor method)
__sub__() (pyttb.ktensor method)
(pyttb.sptensor method)
(pyttb.tenmat method)
__subclasshook__() (in module pyttb.tensor)
__truediv__() (pyttb.sptensor method)
A
Adagrad (class in pyttb.decompositions.cp.gcp.optimizers)
Adam (class in pyttb.decompositions.cp.gcp.optimizers)
allsubs() (pyttb.sptensor method)
arrange() (pyttb.ktensor method)
B
BaseProblem (class in pyttb.create_problem)
BERNOULLI_LOGIT (pyttb.decompositions.cp.gcp.handles.Objectives attribute)
bernoulli_logit() (in module pyttb.decompositions.cp.gcp.handles)
bernoulli_logit_grad() (in module pyttb.decompositions.cp.gcp.handles)
BERNOULLI_ODDS (pyttb.decompositions.cp.gcp.handles.Objectives attribute)
bernoulli_odds() (in module pyttb.decompositions.cp.gcp.handles)
bernoulli_odds_grad() (in module pyttb.decompositions.cp.gcp.handles)
BETA (pyttb.decompositions.cp.gcp.handles.Objectives attribute)
beta() (in module pyttb.decompositions.cp.gcp.handles)
beta_grad() (in module pyttb.decompositions.cp.gcp.handles)
C
callback (pyttb.decompositions.cp.gcp.optimizers.LBFGSB.Monitor property)
collapse() (pyttb.sptensor method)
contract() (pyttb.sptensor method)
copy() (pyttb.ktensor method)
(pyttb.sptenmat method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.tenmat method)
(pyttb.ttensor method)
core_generator (pyttb.create_problem.TuckerProblem attribute)
cp_als() (in module pyttb)
cp_apr() (in module pyttb)
CPProblem (class in pyttb.create_problem)
create_problem() (in module pyttb.create_problem)
crng (pyttb.decompositions.cp.gcp.samplers.GCPSampler property)
ctranspose() (pyttb.tenmat method)
D
data (in module pyttb.tensor)
double() (pyttb.ktensor method)
(pyttb.sptenmat method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.tenmat method)
(pyttb.ttensor method)
E
elemfun() (pyttb.sptensor method)
estimate() (in module pyttb.decompositions.cp.gcp.fg_est)
estimate_helper() (in module pyttb.decompositions.cp.gcp.fg_est)
evaluate() (in module pyttb.decompositions.cp.gcp.fg)
ExistingCPSolution (class in pyttb.create_problem)
ExistingSolution (class in pyttb.create_problem)
ExistingTuckerSolution (class in pyttb.create_problem)
export_data() (in module pyttb.export_data)
extract() (pyttb.ktensor method)
(pyttb.sptensor method)
F
factor_generator (pyttb.create_problem.BaseProblem attribute)
(pyttb.create_problem.CPProblem attribute)
(pyttb.create_problem.TuckerProblem attribute)
find() (pyttb.sptensor method)
fixsigns() (pyttb.ktensor method)
from_aggregator() (pyttb.sptensor class method)
from_array() (pyttb.sptenmat class method)
from_function() (pyttb.ktensor class method)
(pyttb.sptensor class method)
from_vector() (pyttb.ktensor class method)
full() (pyttb.ktensor method)
(pyttb.sptenmat method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.ttensor method)
function_sample() (pyttb.decompositions.cp.gcp.samplers.GCPSampler method)
G
GAMMA (pyttb.decompositions.cp.gcp.handles.Objectives attribute)
gamma() (in module pyttb.decompositions.cp.gcp.handles)
gamma_grad() (in module pyttb.decompositions.cp.gcp.handles)
gather_wrap_dims() (in module pyttb.pyttb_utils)
GAUSSIAN (pyttb.decompositions.cp.gcp.handles.Objectives attribute)
gaussian() (in module pyttb.decompositions.cp.gcp.handles)
gaussian_grad() (in module pyttb.decompositions.cp.gcp.handles)
gcp_opt() (in module pyttb)
GCPSampler (class in pyttb.decompositions.cp.gcp.samplers)
get_index_variant() (in module pyttb.pyttb_utils)
get_mttkrp_factors() (in module pyttb.pyttb_utils)
get_pattern() (pyttb.create_problem.MissingData method)
gradient_sample() (pyttb.decompositions.cp.gcp.samplers.GCPSampler method)
H
has_missing() (pyttb.create_problem.MissingData method)
hosvd() (in module pyttb)
HUBER (pyttb.decompositions.cp.gcp.handles.Objectives attribute)
huber() (in module pyttb.decompositions.cp.gcp.handles)
huber_grad() (in module pyttb.decompositions.cp.gcp.handles)
I
import_data() (in module pyttb.import_data)
IndexVariant (class in pyttb.pyttb_utils)
innerprod() (pyttb.ktensor method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.ttensor method)
isequal() (pyttb.ktensor method)
(pyttb.sptenmat method)
(pyttb.sptensor method)
(pyttb.tenmat method)
(pyttb.ttensor method)
islogical() (in module pyttb.pyttb_utils)
isrow() (in module pyttb.pyttb_utils)
issymmetric() (pyttb.ktensor method)
isvector() (in module pyttb.pyttb_utils)
K
khatrirao() (in module pyttb.khatrirao)
ktensor (class in pyttb)
L
LBFGSB (class in pyttb.decompositions.cp.gcp.optimizers)
LBFGSB.Monitor (class in pyttb.decompositions.cp.gcp.optimizers)
logical_and() (pyttb.sptensor method)
logical_not() (pyttb.sptensor method)
logical_or() (pyttb.sptensor method)
logical_xor() (pyttb.sptensor method)
M
mask() (pyttb.ktensor method)
(pyttb.sptensor method)
matlab_print() (in module pyttb.matlab.matlab_support)
MemoryLayout (in module pyttb.pyttb_utils)
missing_pattern (pyttb.create_problem.MissingData attribute)
missing_ratio (pyttb.create_problem.MissingData attribute)
MissingData (class in pyttb.create_problem)
module
pyttb.decompositions.cp.gcp.fg
pyttb.decompositions.cp.gcp.fg_est
pyttb.decompositions.cp.gcp.fg_setup
pyttb.decompositions.cp.gcp.handles
pyttb.decompositions.cp.gcp.optimizers
pyttb.decompositions.cp.gcp.samplers
pyttb.pyttb_utils
pyttb.tensor
mttkrp() (pyttb.ktensor method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.ttensor method)
N
ncomponents (pyttb.ktensor property)
ndims (pyttb.ktensor property)
(pyttb.sptensor property)
(pyttb.sumtensor property)
(pyttb.tenmat property)
(pyttb.ttensor property)
NEGATIVE_BINOMIAL (pyttb.decompositions.cp.gcp.handles.Objectives attribute)
negative_binomial() (in module pyttb.decompositions.cp.gcp.handles)
negative_binomial_grad() (in module pyttb.decompositions.cp.gcp.handles)
nnz (pyttb.sptenmat property)
(pyttb.sptensor property)
noise (pyttb.create_problem.BaseProblem attribute)
(pyttb.create_problem.CPProblem attribute)
(pyttb.create_problem.ExistingCPSolution attribute)
(pyttb.create_problem.ExistingSolution attribute)
(pyttb.create_problem.ExistingTuckerSolution attribute)
(pyttb.create_problem.TuckerProblem attribute)
nonzeros() (in module pyttb.decompositions.cp.gcp.samplers)
norm() (pyttb.ktensor method)
(pyttb.sptenmat method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.tenmat method)
(pyttb.ttensor method)
normalize() (pyttb.ktensor method)
np_to_python() (in module pyttb.pyttb_utils)
num_factors (pyttb.create_problem.BaseProblem attribute)
(pyttb.create_problem.CPProblem attribute)
(pyttb.create_problem.TuckerProblem attribute)
num_nonzeros (pyttb.decompositions.cp.gcp.samplers.StratifiedCount attribute)
num_zeros (pyttb.decompositions.cp.gcp.samplers.StratifiedCount attribute)
nvecs() (pyttb.ktensor method)
(pyttb.sptensor method)
(pyttb.ttensor method)
O
Objectives (class in pyttb.decompositions.cp.gcp.handles)
OneDArray (in module pyttb.pyttb_utils)
ones() (pyttb.sptensor method)
order (pyttb.ktensor property)
(pyttb.sptenmat property)
(pyttb.sptensor property)
(pyttb.sumtensor property)
(pyttb.tenmat property)
(pyttb.ttensor property)
P
parse_one_d() (in module pyttb.pyttb_utils)
parse_shape() (in module pyttb.pyttb_utils)
permute() (pyttb.ktensor method)
(pyttb.sptensor method)
(pyttb.ttensor method)
POISSON (pyttb.decompositions.cp.gcp.handles.Objectives attribute)
poisson() (in module pyttb.decompositions.cp.gcp.handles)
poisson_grad() (in module pyttb.decompositions.cp.gcp.handles)
POISSON_LOG (pyttb.decompositions.cp.gcp.handles.Objectives attribute)
poisson_log() (in module pyttb.decompositions.cp.gcp.handles)
poisson_log_grad() (in module pyttb.decompositions.cp.gcp.handles)
pyttb.decompositions.cp.gcp.fg
module
pyttb.decompositions.cp.gcp.fg_est
module
pyttb.decompositions.cp.gcp.fg_setup
module
pyttb.decompositions.cp.gcp.handles
module
pyttb.decompositions.cp.gcp.optimizers
module
pyttb.decompositions.cp.gcp.samplers
module
pyttb.pyttb_utils
module
pyttb.tensor
module
R
raise_symmetric() (pyttb.create_problem.MissingData method)
RAYLEIGH (pyttb.decompositions.cp.gcp.handles.Objectives attribute)
rayleigh() (in module pyttb.decompositions.cp.gcp.handles)
rayleigh_grad() (in module pyttb.decompositions.cp.gcp.handles)
reconstruct() (pyttb.ttensor method)
redistribute() (pyttb.ktensor method)
reshape() (pyttb.sptensor method)
S
Samplers (class in pyttb.decompositions.cp.gcp.samplers)
scale() (pyttb.sptensor method)
score() (pyttb.ktensor method)
semistrat() (in module pyttb.decompositions.cp.gcp.samplers)
SEMISTRATIFIED (pyttb.decompositions.cp.gcp.samplers.Samplers attribute)
set_failed_epoch() (pyttb.decompositions.cp.gcp.optimizers.Adagrad method)
(pyttb.decompositions.cp.gcp.optimizers.Adam method)
(pyttb.decompositions.cp.gcp.optimizers.SGD method)
(pyttb.decompositions.cp.gcp.optimizers.StochasticSolver method)
setup() (in module pyttb.decompositions.cp.gcp.fg_setup)
SGD (class in pyttb.decompositions.cp.gcp.optimizers)
Shape (in module pyttb.pyttb_utils)
shape (in module pyttb.tensor)
(pyttb.create_problem.BaseProblem attribute)
(pyttb.create_problem.CPProblem attribute)
(pyttb.create_problem.TuckerProblem attribute)
(pyttb.ktensor property)
(pyttb.sptenmat property)
(pyttb.sumtensor property)
(pyttb.tenmat property)
(pyttb.ttensor property)
solution (pyttb.create_problem.ExistingCPSolution attribute)
(pyttb.create_problem.ExistingSolution attribute)
(pyttb.create_problem.ExistingTuckerSolution attribute)
solve() (pyttb.decompositions.cp.gcp.optimizers.LBFGSB method)
(pyttb.decompositions.cp.gcp.optimizers.StochasticSolver method)
sparse_generation (pyttb.create_problem.ExistingCPSolution attribute)
sparse_model (pyttb.create_problem.MissingData attribute)
spmatrix() (pyttb.sptensor method)
sptendiag() (in module pyttb)
sptenmat (class in pyttb)
sptenrand() (in module pyttb)
sptensor (class in pyttb)
squash() (pyttb.sptensor method)
squeeze() (pyttb.sptensor method)
StochasticSolver (class in pyttb.decompositions.cp.gcp.optimizers)
STRATIFIED (pyttb.decompositions.cp.gcp.samplers.Samplers attribute)
stratified() (in module pyttb.decompositions.cp.gcp.samplers)
StratifiedCount (class in pyttb.decompositions.cp.gcp.samplers)
subdims() (pyttb.sptensor method)
sumtensor (class in pyttb)
symmetric (pyttb.create_problem.BaseProblem attribute)
(pyttb.create_problem.CPProblem attribute)
(pyttb.create_problem.TuckerProblem attribute)
symmetrize() (pyttb.ktensor method)
T
tendiag() (in module pyttb)
teneye() (in module pyttb)
tenmat (class in pyttb)
tenones() (in module pyttb)
tenrand() (in module pyttb)
tenzeros() (in module pyttb)
to_memory_order() (in module pyttb.pyttb_utils)
to_sptenmat() (pyttb.sptensor method)
to_sptensor() (pyttb.sptenmat method)
to_tenmat() (pyttb.ktensor method)
to_tensor() (pyttb.ktensor method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.tenmat method)
(pyttb.ttensor method)
tolist() (pyttb.ktensor method)
tovec() (pyttb.ktensor method)
tt_dimscheck() (in module pyttb.pyttb_utils)
tt_ind2sub() (in module pyttb.pyttb_utils)
tt_intersect_rows() (in module pyttb.pyttb_utils)
tt_irenumber() (in module pyttb.pyttb_utils)
tt_ismember_rows() (in module pyttb.pyttb_utils)
tt_renumber() (in module pyttb.pyttb_utils)
tt_renumberdim() (in module pyttb.pyttb_utils)
tt_setdiff_rows() (in module pyttb.pyttb_utils)
tt_sizecheck() (in module pyttb.pyttb_utils)
tt_sub2ind() (in module pyttb.pyttb_utils)
tt_subscheck() (in module pyttb.pyttb_utils)
tt_subsubsref() (in module pyttb.pyttb_utils)
tt_union_rows() (in module pyttb.pyttb_utils)
tt_valscheck() (in module pyttb.pyttb_utils)
ttensor (class in pyttb)
ttm() (pyttb.sptensor method)
(pyttb.ttensor method)
ttv() (pyttb.ktensor method)
(pyttb.sptensor method)
(pyttb.sumtensor method)
(pyttb.ttensor method)
tucker_als() (in module pyttb)
TuckerProblem (class in pyttb.create_problem)
U
UNIFORM (pyttb.decompositions.cp.gcp.samplers.Samplers attribute)
uniform() (in module pyttb.decompositions.cp.gcp.samplers)
update() (pyttb.ktensor method)
update_step() (pyttb.decompositions.cp.gcp.optimizers.Adagrad method)
(pyttb.decompositions.cp.gcp.optimizers.Adam method)
(pyttb.decompositions.cp.gcp.optimizers.SGD method)
(pyttb.decompositions.cp.gcp.optimizers.StochasticSolver method)
V
valid_binary() (in module pyttb.decompositions.cp.gcp.fg_setup)
valid_natural() (in module pyttb.decompositions.cp.gcp.fg_setup)
valid_nonneg() (in module pyttb.decompositions.cp.gcp.fg_setup)
viz() (pyttb.ktensor method)
W
weight_generator (pyttb.create_problem.CPProblem attribute)
Z
zeros() (in module pyttb.decompositions.cp.gcp.samplers)
ZT_POISSON (pyttb.decompositions.cp.gcp.handles.Objectives attribute)
ztp() (in module pyttb.decompositions.cp.gcp.handles)
ztp_grad() (in module pyttb.decompositions.cp.gcp.handles)