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A
A()
(in
LinearRegressionL1L2GL
)
Aa()
(in
PrincipalComponentAnalysisL1TV
)
ADMM
(in
parsimony.algorithms.proximal
)
A()
(in
LinearRegressionL1L2TV
)
Aa()
(in
MultiblockNesterovFunctionWrapper
)
algorithms
(in
parsimony
)
A()
(in
LinearRegressionL2SmoothedL1TV
)
Aa()
(in
NesterovFunction
)
alpha()
(in
NesterovFunction
)
A()
(in
PrincipalComponentAnalysisL1TV
)
ABCMeta
alpha()
(in
LinearRegressionL2SmoothedL1TV
)
A()
(in
MultiblockNesterovFunctionWrapper
)
accuracy()
(in
parsimony.utils.stats
)
alpha()
(in
MultiblockNesterovFunctionWrapper
)
A()
(in
NesterovFunction
)
add
(in
__ops
)
alpha()
(in
L1
)
A_from_groups()
(in
parsimony.functions.nesterov.gl
)
add_constraint()
(in
CombinedFunction
)
alpha()
(in
L1TV
)
A_from_mask()
(in
parsimony.functions.nesterov.l1tv
)
add_constraint()
(in
CombinedMultiblockFunction
)
alpha()
(in
NesterovFunction
)
A_from_mask()
(in
parsimony.functions.nesterov.tv
)
add_constraint()
(in
MultiblockFunction
)
alpha()
(in
parsimony.utils.stats
)
A_from_masks()
(in
parsimony.functions.nesterov.grouptv
)
add_function()
(in
CombinedFunction
)
AnonymousClass
(in
parsimony.utils.utils
)
A_from_mesh()
(in
parsimony.functions.nesterov.tv
)
add_function()
(in
CombinedMultiblockFunction
)
approx_grad()
(in
MultiblockGradient
)
A_from_rects()
(in
parsimony.functions.nesterov.grouptv
)
add_loss()
(in
CombinedFunction
)
approx_grad()
(in
Gradient
)
A_from_shape()
(in
parsimony.functions.nesterov.l1tv
)
add_nesterov()
(in
CombinedFunction
)
approx_L()
(in
LipschitzContinuousGradient
)
A_from_shape()
(in
parsimony.functions.nesterov.tv
)
add_penalty()
(in
CombinedFunction
)
AtomicFunction
(in
parsimony.functions.properties
)
A_from_subset_mask()
(in
parsimony.functions.nesterov.tv
)
add_penalty()
(in
CombinedMultiblockFunction
)
AugmentedLinearRegressionL1L2TV
(in
parsimony.functions.combinedfunctions
)
A_from_variables()
(in
parsimony.functions.nesterov.l1
)
add_prox()
(in
CombinedFunction
)
AugmentedProximalOperator
(in
parsimony.functions.properties
)
Aa()
(in
LinearRegressionL1L2GL
)
add_prox()
(in
CombinedMultiblockFunction
)
Aa()
(in
LinearRegressionL1L2TV
)
add_smooth_penalty()
(in
CombinedFunction
)
B
BacktrackingLineSearch
(in
parsimony.algorithms.utils
)
beta()
(in
parsimony.utils.stats
)
betak
(in
Info
)
BaseAlgorithm
(in
parsimony.algorithms.bases
)
beta_start
(in
Info
)
Bisection
(in
parsimony.algorithms.utils
)
BaseEstimator
(in
parsimony.estimators
)
betahat()
(in
LinearRegressionL1L2GL
)
bisection_method()
(in
parsimony.datasets.simulate.utils
)
bases
(in
parsimony.algorithms
)
betahat()
(in
LinearRegressionL1L2TV
)
bootstrap()
(in
parsimony.utils.resampling
)
BaseStartVector
(in
parsimony.utils.start_vectors
)
betahat()
(in
LinearRegressionL2SmoothedL1TV
)
bound
(in
Info
)
beta
(in
Info
)
betahat()
(in
PrincipalComponentAnalysisL1TV
)
beta
(in
parsimony.datasets.simulate
)
betahat()
(in
DualFunction
)
C
check_arrays'
(in
parsimony.utils
)
COLORS_FULL
(in
parsimony.utils.plot
)
constraints
(in
MultiblockFunction
)
check_arrays()
(in
parsimony.utils
)
ColumnProjectionDeflation
(in
parsimony.algorithms.deflation
)
consts
(in
parsimony.utils
)
check_compatibility()
(in
BaseAlgorithm
)
CombinedFunction
(in
parsimony.functions.combinedfunctions
)
Continuation
(in
parsimony.functions.properties
)
check_compatibility()
(in
parsimony.algorithms.bases
)
combinedfunctions
(in
parsimony.functions
)
continuations
(in
Info
)
check_info_compatibility()
(in
InformationAlgorithm
)
combinedfunctions
(in
parsimony.functions.multiblock
)
converged
(in
Info
)
check_labels()
(in
parsimony.utils.classif_label
)
CombinedMultiblockFunction
(in
parsimony.functions.multiblock.losses
)
coordinate
(in
parsimony.algorithms
)
class_weight_to_sample_weight()
(in
parsimony.utils.classif_label
)
CombinedProjectionOperator
(in
parsimony.functions.properties
)
copy()
(in
MultipartArray
)
classif_label
(in
parsimony.utils
)
CompositeFunction
(in
parsimony.functions.properties
)
corr()
(in
parsimony.utils.maths
)
classification
(in
parsimony.datasets
)
CONESTA
(in
parsimony.algorithms.proximal
)
corr_to_coef()
(in
parsimony.datasets.utils
)
cluster
(in
parsimony.algorithms
)
ConstantCorrelation()
(in
parsimony.datasets.simulate.correlation_matrices
)
correlation_matrices
(in
parsimony.datasets.simulate
)
Clustering
(in
parsimony.estimators
)
ConstantValue
(in
parsimony.datasets.simulate.utils
)
cov()
(in
parsimony.utils.maths
)
COLORS
(in
parsimony.utils.plot
)
Constraint
(in
parsimony.functions.properties
)
D
datasets
(in
parsimony
)
Deflation
(in
parsimony.algorithms.deflation
)
div
(in
__ops
)
deflate()
(in
ColumnProjectionDeflation
)
deprecated()
(in
parsimony.utils.utils
)
Dot
(in
parsimony.datasets.utils
)
deflate()
(in
Deflation
)
dice5
(in
parsimony.datasets.classification
)
dot()
(in
MultipartArray
)
deflate()
(in
RankOneDeflation
)
dice5
(in
parsimony.datasets.regression
)
DualFunction
(in
parsimony.functions.properties
)
deflate()
(in
RowProjectionDeflation
)
dice_five_with_union_of_pairs()
(in
parsimony.datasets.regression.dice5
)
DykstrasProjectionAlgorithm
(in
parsimony.algorithms.proximal
)
deflation
(in
parsimony.algorithms
)
Dimaond
(in
parsimony.datasets.utils
)
DykstrasProximalAlgorithm
(in
parsimony.algorithms.proximal
)
E
Eigenvalues
(in
parsimony.functions.properties
)
eps_opt()
(in
LinearRegressionL1L2TV
)
estimate_mu()
(in
GroupLassoOverlap
)
ElasticNet
(in
parsimony.estimators
)
eps_opt()
(in
PrincipalComponentAnalysisL1TV
)
estimate_mu()
(in
GroupTotalVariation
)
ElasticNetLogisticRegression
(in
parsimony.estimators
)
eps_opt()
(in
MultiblockNesterovFunctionWrapper
)
estimate_mu()
(in
L1
)
eps_max()
(in
LinearRegressionL1L2GL
)
eps_opt()
(in
MultiblockContinuation
)
estimate_mu()
(in
L1TV
)
eps_max()
(in
LinearRegressionL1L2TV
)
eps_opt()
(in
Continuation
)
estimate_mu()
(in
TotalVariation
)
eps_max()
(in
PrincipalComponentAnalysisL1TV
)
estimate_mu()
(in
LinearRegressionL1L2GL
)
estimate_mu()
(in
NesterovFunction
)
eps_max()
(in
MultiblockNesterovFunctionWrapper
)
estimate_mu()
(in
LinearRegressionL1L2TV
)
estimators
(in
parsimony
)
eps_max()
(in
MultiblockContinuation
)
estimate_mu()
(in
LinearRegressionL2SmoothedL1TV
)
evaluate()
(in
OR
)
eps_max()
(in
Continuation
)
estimate_mu()
(in
PrincipalComponentAnalysisL1TV
)
ExcessiveGapMethod
(in
parsimony.algorithms.primaldual
)
eps_opt()
(in
LinearRegressionL1L2GL
)
estimate_mu()
(in
MultiblockNesterovFunctionWrapper
)
ExplicitAlgorithm
(in
parsimony.algorithms.bases
)
F
f()
(in
AugmentedLinearRegressionL1L2TV
)
f()
(in
RidgeSquaredError
)
fit()
(in
Lasso
)
f()
(in
CombinedFunction
)
f()
(in
SufficientDescentCondition
)
fit()
(in
LinearRegression
)
f()
(in
LinearRegressionL1L2GL
)
f()
(in
ZeroFunction
)
fit()
(in
LinearRegressionL1L2GL
)
f()
(in
LinearRegressionL1L2TV
)
f()
(in
CombinedProjectionOperator
)
fit()
(in
LinearRegressionL1L2TV
)
f()
(in
LinearRegressionL2SmoothedL1TV
)
f()
(in
Function
)
fit()
(in
LinearRegressionL2SmoothedL1TV
)
f()
(in
PrincipalComponentAnalysisL1TV
)
f()
(in
IndicatorFunction
)
fit()
(in
LogisticRegression
)
f()
(in
LatentVariableVariance
)
f()
(in
SplittableFunction
)
fit()
(in
LogisticRegressionEstimator
)
f()
(in
LinearFunction
)
F_score()
(in
parsimony.utils.stats
)
fit()
(in
LogisticRegressionL1L2GL
)
f()
(in
LinearRegression
)
FastSparseSVD
(in
parsimony.algorithms.nipals
)
fit()
(in
LogisticRegressionL1L2TV
)
f()
(in
LogisticRegression
)
FastSVD
(in
parsimony.algorithms.nipals
)
fit()
(in
PLSRegression
)
f()
(in
RidgeLogisticRegression
)
FastSVDProduct
(in
parsimony.algorithms.nipals
)
fit()
(in
RegressionEstimator
)
f()
(in
RidgeRegression
)
feasible()
(in
GroupLassoOverlap
)
fit()
(in
RidgeLogisticRegression
)
f()
(in
CombinedMultiblockFunction
)
feasible()
(in
GroupTotalVariation
)
fit()
(in
RidgeRegression
)
f()
(in
GeneralisedMultiblock
)
feasible()
(in
L1
)
fit()
(in
SparsePLSRegression
)
f()
(in
LatentVariableCovariance
)
feasible()
(in
TotalVariation
)
fleiss_kappa()
(in
parsimony.utils.stats
)
f()
(in
LatentVariableCovarianceSquared
)
feasible()
(in
L0
)
FLOAT_EPSILON
(in
parsimony.utils.consts
)
f()
(in
MultiblockFunctionWrapper
)
feasible()
(in
L1
)
FLOAT_INF
(in
parsimony.utils.consts
)
f()
(in
GroupLassoOverlap
)
feasible()
(in
L2
)
fmu()
(in
LinearRegressionL1L2GL
)
f()
(in
GroupTotalVariation
)
feasible()
(in
L2Squared
)
fmu()
(in
LinearRegressionL1L2TV
)
f()
(in
L1
)
feasible()
(in
LInf
)
fmu()
(in
PrincipalComponentAnalysisL1TV
)
f()
(in
L1TV
)
feasible()
(in
LinearVariableConstraint
)
fmu()
(in
CombinedMultiblockFunction
)
f()
(in
TotalVariation
)
feasible()
(in
QuadraticConstraint
)
fmu()
(in
MultiblockNesterovFunctionWrapper
)
f()
(in
L0
)
feasible()
(in
RGCCAConstraint
)
fmu()
(in
L1
)
f()
(in
L1
)
feasible()
(in
SufficientDescentCondition
)
fmu()
(in
L1TV
)
f()
(in
L1L2Squared
)
feasible()
(in
ZeroFunction
)
fmu()
(in
NesterovFunction
)
f()
(in
L2
)
feasible()
(in
Constraint
)
force_reset()
(in
parsimony.algorithms.bases
)
f()
(in
L2Squared
)
FISTA
(in
parsimony.algorithms.proximal
)
func_val
(in
Info
)
f()
(in
LInf
)
fit()
(in
BaseEstimator
)
Function
(in
parsimony.datasets.simulate.grad
)
f()
(in
LinearVariableConstraint
)
fit()
(in
Clustering
)
Function
(in
parsimony.functions.properties
)
f()
(in
QuadraticConstraint
)
fit()
(in
ElasticNet
)
functions
(in
parsimony
)
f()
(in
RGCCAConstraint
)
fit()
(in
ElasticNetLogisticRegression
)
fvalue
(in
Info
)
G
gap
(in
Info
)
get_params()
(in
LogisticRegressionL1L2TV
)
grad()
(in
RidgeLogisticRegression
)
gap()
(in
LinearRegressionL1L2GL
)
get_params()
(in
PLSRegression
)
grad()
(in
RidgeRegression
)
gap()
(in
LinearRegressionL1L2TV
)
get_params()
(in
RidgeLogisticRegression
)
grad()
(in
CombinedMultiblockFunction
)
gap()
(in
LinearRegressionL2SmoothedL1TV
)
get_params()
(in
RidgeRegression
)
grad()
(in
GeneralisedMultiblock
)
gap()
(in
LogisticRegressionL1L2TV
)
get_params()
(in
SparsePLSRegression
)
grad()
(in
LatentVariableCovariance
)
gap()
(in
PrincipalComponentAnalysisL1TV
)
get_params()
(in
MultiblockNesterovFunctionWrapper
)
grad()
(in
LatentVariableCovarianceSquared
)
gap()
(in
DualFunction
)
get_params()
(in
Function
)
grad()
(in
MultiblockFunctionWrapper
)
GeneralisedMultiblock
(in
parsimony.functions.multiblock.losses
)
get_parts()
(in
MultipartArray
)
grad()
(in
MultiblockGradient
)
get_beta()
(in
ObjImage
)
get_std()
(in
ObjImage
)
grad()
(in
L1
)
get_constraints()
(in
MultiblockFunction
)
get_vector()
(in
BaseStartVector
)
grad()
(in
L2Squared
)
get_info()
(in
BaseEstimator
)
get_vector()
(in
IdentityStartVector
)
grad()
(in
QuadraticConstraint
)
get_mask()
(in
Dimaond
)
get_vector()
(in
OnesStartVector
)
grad()
(in
RGCCAConstraint
)
get_mask()
(in
Dot
)
get_vector()
(in
RandomStartVector
)
grad()
(in
RidgeSquaredError
)
get_mask()
(in
ObjImage
)
get_vector()
(in
ZerosStartVector
)
grad()
(in
ZeroFunction
)
get_mask()
(in
Square
)
gl
(in
parsimony.functions.nesterov
)
grad()
(in
Gradient
)
get_mu()
(in
LinearRegressionL1L2GL
)
grad
(in
parsimony.datasets.simulate
)
grad()
(in
NesterovFunction
)
get_mu()
(in
LinearRegressionL1L2TV
)
grad()
(in
Function
)
grad_gl()
(in
parsimony.datasets.simulate.grad
)
get_mu()
(in
LinearRegressionL2SmoothedL1TV
)
grad()
(in
L1
)
grad_glmu()
(in
parsimony.datasets.simulate.grad
)
get_mu()
(in
PrincipalComponentAnalysisL1TV
)
grad()
(in
L2
)
grad_grouptvmu()
(in
parsimony.datasets.simulate.grad
)
get_mu()
(in
MultiblockNesterovFunctionWrapper
)
grad()
(in
L2Squared
)
grad_l1()
(in
parsimony.datasets.simulate.grad
)
get_mu()
(in
NesterovFunction
)
grad()
(in
NesterovFunction
)
grad_l1mu()
(in
parsimony.datasets.simulate.grad
)
get_objects_edges()
(in
parsimony.datasets.utils
)
grad()
(in
SmoothedGroupLasso
)
grad_l2()
(in
parsimony.datasets.simulate.grad
)
get_params()
(in
BaseAlgorithm
)
grad()
(in
SmoothedGroupTotalVariation
)
grad_l2_squared()
(in
parsimony.datasets.simulate.grad
)
get_params()
(in
BaseEstimator
)
grad()
(in
SmoothedL1
)
grad_tv()
(in
parsimony.datasets.simulate.grad
)
get_params()
(in
Clustering
)
grad()
(in
SmoothedTotalVariation
)
grad_tvmu()
(in
parsimony.datasets.simulate.grad
)
get_params()
(in
ElasticNet
)
grad()
(in
TotalVariation
)
gradient
(in
parsimony.algorithms
)
get_params()
(in
ElasticNetLogisticRegression
)
grad()
(in
CombinedFunction
)
Gradient
(in
parsimony.functions.properties
)
get_params()
(in
Lasso
)
grad()
(in
LinearRegressionL1L2GL
)
GradientDescent
(in
parsimony.algorithms.gradient
)
get_params()
(in
LinearRegression
)
grad()
(in
LinearRegressionL1L2TV
)
GradientMap
(in
parsimony.functions.properties
)
get_params()
(in
LinearRegressionL1L2GL
)
grad()
(in
PrincipalComponentAnalysisL1TV
)
GroupLasso
(in
parsimony.datasets.simulate.grad
)
get_params()
(in
LinearRegressionL1L2TV
)
grad()
(in
LatentVariableVariance
)
GroupLassoOverlap
(in
parsimony.functions.nesterov.gl
)
get_params()
(in
LinearRegressionL2SmoothedL1TV
)
grad()
(in
LinearFunction
)
GroupTotalVariation
(in
parsimony.functions.nesterov.grouptv
)
get_params()
(in
LogisticRegression
)
grad()
(in
LinearRegression
)
grouptv
(in
parsimony.functions.nesterov
)
get_params()
(in
LogisticRegressionL1L2GL
)
grad()
(in
LogisticRegression
)
H
has_nesterov_function()
(in
CombinedMultiblockFunction
)
hessian()
(in
Hessian
)
Hessian
(in
parsimony.functions.properties
)
hessian_inverse()
(in
Hessian
)
I
IdentityStartVector
(in
parsimony.utils.start_vectors
)
INFO_PROVIDED
(in
ISTA
)
INTERFACES
(in
CONESTA
)
ImplicitAlgorithm
(in
parsimony.algorithms.bases
)
INFO_PROVIDED
(in
StaticCONESTA
)
INTERFACES
(in
DykstrasProjectionAlgorithm
)
IndicatorFunction
(in
parsimony.functions.properties
)
INFO_PROVIDED
(in
Bisection
)
INTERFACES
(in
DykstrasProximalAlgorithm
)
Info
(in
parsimony.algorithms.utils
)
INFO_PROVIDED
(in
NewtonRaphson
)
INTERFACES
(in
FISTA
)
info_copy()
(in
InformationAlgorithm
)
info_provided()
(in
InformationAlgorithm
)
INTERFACES
(in
ISTA
)
info_get()
(in
InformationAlgorithm
)
info_requested()
(in
InformationAlgorithm
)
INTERFACES
(in
ParallelDykstrasProjectionAlgorithm
)
INFO_PROVIDED
(in
InformationAlgorithm
)
info_reset()
(in
InformationAlgorithm
)
INTERFACES
(in
ParallelDykstrasProximalAlgorithm
)
INFO_PROVIDED
(in
LassoCoordinateDescent
)
info_set()
(in
InformationAlgorithm
)
INTERFACES
(in
StaticCONESTA
)
INFO_PROVIDED
(in
ShootingAlgorithm
)
InformationAlgorithm
(in
parsimony.algorithms.bases
)
INTERFACES
(in
BacktrackingLineSearch
)
INFO_PROVIDED
(in
GradientDescent
)
INIT
(in
KMeans
)
INTERFACES
(in
Bisection
)
INFO_PROVIDED
(in
MultiblockCONESTA
)
INTERFACES
(in
ExplicitAlgorithm
)
INTERFACES
(in
NewtonRaphson
)
INFO_PROVIDED
(in
MultiblockFISTA
)
INTERFACES
(in
GradientDescent
)
ISTA
(in
parsimony.algorithms.proximal
)
INFO_PROVIDED
(in
ExcessiveGapMethod
)
INTERFACES
(in
MultiblockCONESTA
)
iter_reset()
(in
IterativeAlgorithm
)
INFO_PROVIDED
(in
ADMM
)
INTERFACES
(in
MultiblockFISTA
)
IterativeAlgorithm
(in
parsimony.algorithms.bases
)
INFO_PROVIDED
(in
CONESTA
)
INTERFACES
(in
ExcessiveGapMethod
)
INFO_PROVIDED
(in
FISTA
)
INTERFACES
(in
ADMM
)
K
k_fold()
(in
parsimony.utils.resampling
)
KMeans
(in
parsimony.algorithms.cluster
)
L
L()
(in
LinearRegressionL1L2GL
)
L2
(in
parsimony.datasets.simulate.grad
)
LinearRegression
(in
parsimony.estimators
)
L()
(in
LinearRegressionL1L2TV
)
L2
(in
parsimony.functions.penalties
)
LinearRegression
(in
parsimony.functions.losses
)
L()
(in
LinearRegressionL2SmoothedL1TV
)
L2Squared
(in
parsimony.datasets.simulate.grad
)
LinearRegressionData
(in
parsimony.datasets.simulate.simulate
)
L()
(in
PrincipalComponentAnalysisL1TV
)
L2Squared
(in
parsimony.functions.penalties
)
LinearRegressionL1L2GL
(in
parsimony.estimators
)
L()
(in
LatentVariableVariance
)
lA()
(in
L1TV
)
LinearRegressionL1L2GL
(in
parsimony.functions.combinedfunctions
)
L()
(in
LinearFunction
)
lA()
(in
NesterovFunction
)
LinearRegressionL1L2TV
(in
parsimony.estimators
)
L()
(in
LinearRegression
)
labels()
(in
parsimony.datasets.Russett
)
LinearRegressionL1L2TV
(in
parsimony.functions.combinedfunctions
)
L()
(in
LogisticRegression
)
lambda_max()
(in
GroupLassoOverlap
)
LinearRegressionL2SmoothedL1TV
(in
parsimony.estimators
)
L()
(in
RidgeLogisticRegression
)
lambda_max()
(in
GroupTotalVariation
)
LinearRegressionL2SmoothedL1TV
(in
parsimony.functions.combinedfunctions
)
L()
(in
RidgeRegression
)
lambda_max()
(in
L1TV
)
LinearVariableConstraint
(in
parsimony.functions.penalties
)
L()
(in
LatentVariableCovariance
)
lambda_max()
(in
TotalVariation
)
LInf
(in
parsimony.functions.penalties
)
L()
(in
LatentVariableCovarianceSquared
)
lambda_max()
(in
Eigenvalues
)
LipschitzContinuousGradient
(in
parsimony.functions.properties
)
L()
(in
MultiblockLipschitzContinuousGradient
)
lambda_max()
(in
NesterovFunction
)
load()
(in
parsimony.datasets.Russett
)
L()
(in
GroupLassoOverlap
)
lambda_min()
(in
RidgeRegression
)
load()
(in
parsimony.datasets.classification.dice5
)
L()
(in
GroupTotalVariation
)
lambda_min()
(in
Eigenvalues
)
load()
(in
parsimony.datasets.regression.dice5
)
L()
(in
L1
)
Lasso
(in
parsimony.estimators
)
load()
(in
parsimony.datasets.simulate.l1_l2_gl
)
L()
(in
TotalVariation
)
LassoCoordinateDescent
(in
parsimony.algorithms.coordinate
)
load()
(in
parsimony.datasets.simulate.l1_l2_glmu
)
L()
(in
L2Squared
)
LatentVariableCovariance
(in
parsimony.functions.multiblock.losses
)
load()
(in
parsimony.datasets.simulate.l1_l2_grouptvmu
)
L()
(in
RidgeSquaredError
)
LatentVariableCovarianceSquared
(in
parsimony.functions.multiblock.losses
)
load()
(in
parsimony.datasets.simulate.l1_l2_tv
)
L()
(in
LipschitzContinuousGradient
)
LatentVariableVariance
(in
parsimony.functions.losses
)
load()
(in
parsimony.datasets.simulate.l1_l2_tvmu
)
L()
(in
NesterovFunction
)
likelihood_ratio_negative()
(in
parsimony.utils.stats
)
load()
(in
parsimony.datasets.simulate.l1mu_l2_tvmu
)
L0
(in
parsimony.functions.penalties
)
likelihood_ratio_positive()
(in
parsimony.utils.stats
)
load()
(in
parsimony.datasets.simulate.regression
)
L1
(in
parsimony.datasets.simulate.grad
)
linalgs
(in
parsimony.utils
)
load()
(in
LinearRegressionData
)
l1
(in
parsimony.functions.nesterov
)
LINE_STYLE
(in
parsimony.utils.plot
)
load()
(in
SimulatedData
)
L1
(in
parsimony.functions.nesterov.l1
)
linear_operator_from_groups()
(in
parsimony.functions.nesterov.gl
)
LogisticRegression
(in
parsimony.estimators
)
L1
(in
parsimony.functions.penalties
)
linear_operator_from_mask()
(in
parsimony.functions.nesterov.l1tv
)
LogisticRegression
(in
parsimony.functions.losses
)
l1_l2_gl
(in
parsimony.datasets.simulate
)
linear_operator_from_mask()
(in
parsimony.functions.nesterov.tv
)
LogisticRegressionEstimator
(in
parsimony.estimators
)
l1_l2_glmu
(in
parsimony.datasets.simulate
)
linear_operator_from_masks()
(in
parsimony.functions.nesterov.grouptv
)
LogisticRegressionL1L2GL
(in
parsimony.estimators
)
l1_l2_grouptvmu
(in
parsimony.datasets.simulate
)
linear_operator_from_mesh()
(in
parsimony.functions.nesterov.tv
)
LogisticRegressionL1L2GL
(in
parsimony.functions.combinedfunctions
)
l1_l2_tv
(in
parsimony.datasets.simulate
)
linear_operator_from_rects()
(in
parsimony.functions.nesterov.grouptv
)
LogisticRegressionL1L2TV
(in
parsimony.estimators
)
l1_l2_tvmu
(in
parsimony.datasets.simulate
)
linear_operator_from_shape()
(in
parsimony.functions.nesterov.l1tv
)
LogisticRegressionL1L2TV
(in
parsimony.functions.combinedfunctions
)
L1L2Squared
(in
parsimony.functions.penalties
)
linear_operator_from_shape()
(in
parsimony.functions.nesterov.tv
)
losses
(in
parsimony.functions
)
l1mu_l2_tvmu
(in
parsimony.datasets.simulate
)
linear_operator_from_subset_mask()
(in
parsimony.functions.nesterov.tv
)
losses
(in
parsimony.functions.multiblock
)
l1tv
(in
parsimony.functions.nesterov
)
linear_operator_from_variables()
(in
parsimony.functions.nesterov.l1
)
L1TV
(in
parsimony.functions.nesterov.l1tv
)
LinearFunction
(in
parsimony.functions.losses
)
M
M()
(in
LinearRegressionL1L2GL
)
mu
(in
Info
)
multiblock
(in
parsimony.functions
)
M()
(in
LinearRegressionL1L2TV
)
mu_max()
(in
LinearRegressionL1L2GL
)
MultiblockCONESTA
(in
parsimony.algorithms.multiblock
)
M()
(in
LinearRegressionL2SmoothedL1TV
)
mu_max()
(in
LinearRegressionL1L2TV
)
MultiblockContinuation
(in
parsimony.functions.multiblock.properties
)
M()
(in
PrincipalComponentAnalysisL1TV
)
mu_max()
(in
PrincipalComponentAnalysisL1TV
)
MultiblockFISTA
(in
parsimony.algorithms.multiblock
)
M()
(in
MultiblockNesterovFunctionWrapper
)
mu_max()
(in
MultiblockNesterovFunctionWrapper
)
MultiblockFunction
(in
parsimony.functions.multiblock.properties
)
M()
(in
GroupLassoOverlap
)
mu_max()
(in
Continuation
)
MultiblockFunctionWrapper
(in
parsimony.functions.multiblock.losses
)
M()
(in
GroupTotalVariation
)
mu_opt()
(in
LinearRegressionL1L2GL
)
MultiblockGradient
(in
parsimony.functions.multiblock.properties
)
M()
(in
L1
)
mu_opt()
(in
LinearRegressionL1L2TV
)
MultiblockLipschitzContinuousGradient
(in
parsimony.functions.multiblock.properties
)
M()
(in
L1TV
)
mu_opt()
(in
PrincipalComponentAnalysisL1TV
)
MultiblockNesterovFunctionWrapper
(in
parsimony.functions.multiblock.losses
)
M()
(in
TotalVariation
)
mu_opt()
(in
MultiblockNesterovFunctionWrapper
)
MultiblockProjectionOperator
(in
parsimony.functions.multiblock.properties
)
M()
(in
NesterovFunction
)
mu_opt()
(in
MultiblockContinuation
)
MultiblockProximalOperator
(in
parsimony.functions.multiblock.properties
)
MARKERS
(in
parsimony.utils.plot
)
mu_opt()
(in
Continuation
)
MultiblockStepSize
(in
parsimony.functions.multiblock.properties
)
maths
(in
parsimony.utils
)
mul
(in
__ops
)
MultipartArray
(in
parsimony.utils.linalgs
)
MAX_ITER
(in
parsimony.utils.consts
)
multiblock
(in
parsimony.algorithms
)
multivariate_normal()
(in
parsimony.utils.stats
)
N
nesterov
(in
parsimony.functions
)
nipals
(in
parsimony.algorithms
)
normFro()
(in
parsimony.utils.maths
)
nesterov_linear_operator_from_mesh()
(in
parsimony.functions.nesterov.tv
)
norm()
(in
parsimony.utils.maths
)
normInf()
(in
parsimony.utils.maths
)
NesterovFunction
(in
parsimony.datasets.simulate.grad
)
norm0()
(in
parsimony.utils.maths
)
npv()
(in
parsimony.utils.stats
)
NesterovFunction
(in
parsimony.functions.properties
)
norm1()
(in
parsimony.utils.maths
)
num_iter
(in
Info
)
NewtonRaphson
(in
parsimony.algorithms.utils
)
norm2()
(in
parsimony.datasets.simulate.utils
)
O
object_model()
(in
ObjImage
)
OnesStartVector
(in
parsimony.utils.start_vectors
)
orth_matrix()
(in
parsimony.utils.testing
)
ObjImage
(in
parsimony.datasets.utils
)
optimal_shrinkage()
(in
parsimony.utils.utils
)
ok
(in
Info
)
OR
(in
parsimony.functions.properties
)
P
ParallelDykstrasProjectionAlgorithm
(in
parsimony.algorithms.proximal
)
power()
(in
parsimony.utils.stats
)
project()
(in
GroupLassoOverlap
)
ParallelDykstrasProximalAlgorithm
(in
parsimony.algorithms.proximal
)
ppv()
(in
parsimony.utils.stats
)
project()
(in
GroupTotalVariation
)
parameter
(in
Info
)
precision()
(in
parsimony.utils.stats
)
project()
(in
L1
)
parameter()
(in
LinearRegressionL1L2TV
)
predict()
(in
BaseEstimator
)
project()
(in
L1TV
)
parameter()
(in
LinearRegressionL2SmoothedL1TV
)
predict()
(in
Clustering
)
project()
(in
TotalVariation
)
parameter()
(in
PrincipalComponentAnalysisL1TV
)
predict()
(in
LogisticRegressionEstimator
)
project()
(in
NesterovFunction
)
parameter()
(in
RidgeRegression
)
predict()
(in
RegressionEstimator
)
ProjectionOperator
(in
parsimony.functions.properties
)
parameter()
(in
RidgeSquaredError
)
predict_probability()
(in
LogisticRegressionEstimator
)
properties
(in
parsimony.functions.multiblock
)
parameter()
(in
StronglyConvex
)
primaldual
(in
parsimony.algorithms
)
properties
(in
parsimony.functions.nesterov
)
parameters()
(in
BaseEstimator
)
PrincipalComponentAnalysisL1TV
(in
parsimony.functions.combinedfunctions
)
properties
(in
parsimony.functions
)
parameters()
(in
Clustering
)
proj()
(in
CombinedFunction
)
prox()
(in
AugmentedLinearRegressionL1L2TV
)
parsimony
proj()
(in
CombinedMultiblockFunction
)
prox()
(in
CombinedFunction
)
penalties
(in
parsimony.functions
)
proj()
(in
GeneralisedMultiblock
)
prox()
(in
LinearRegressionL1L2GL
)
Penalty
(in
parsimony.functions.properties
)
proj()
(in
MultiblockProjectionOperator
)
prox()
(in
LinearRegressionL1L2TV
)
phi()
(in
LinearRegressionL1L2GL
)
proj()
(in
L0
)
prox()
(in
PrincipalComponentAnalysisL1TV
)
phi()
(in
LinearRegressionL1L2TV
)
proj()
(in
L1
)
prox()
(in
CombinedMultiblockFunction
)
phi()
(in
LinearRegressionL2SmoothedL1TV
)
proj()
(in
L2
)
prox()
(in
MultiblockFunctionWrapper
)
phi()
(in
PrincipalComponentAnalysisL1TV
)
proj()
(in
L2Squared
)
prox()
(in
MultiblockProximalOperator
)
phi()
(in
MultiblockNesterovFunctionWrapper
)
proj()
(in
LInf
)
prox()
(in
L0
)
phi()
(in
GroupLassoOverlap
)
proj()
(in
LinearVariableConstraint
)
prox()
(in
L1
)
phi()
(in
GroupTotalVariation
)
proj()
(in
RGCCAConstraint
)
prox()
(in
L1L2Squared
)
phi()
(in
L1
)
proj()
(in
ZeroFunction
)
prox()
(in
L2
)
phi()
(in
L1TV
)
proj()
(in
CombinedProjectionOperator
)
prox()
(in
L2Squared
)
phi()
(in
TotalVariation
)
proj()
(in
ProjectionOperator
)
prox()
(in
LInf
)
phi()
(in
NesterovFunction
)
project()
(in
NesterovFunction
)
prox()
(in
RidgeSquaredError
)
plot
(in
parsimony.utils
)
project()
(in
SmoothedGroupTotalVariation
)
prox()
(in
ZeroFunction
)
plot_classes()
(in
parsimony.utils.plot
)
project()
(in
SmoothedTotalVariation
)
prox()
(in
NesterovFunction
)
plot_errorbars()
(in
parsimony.utils.plot
)
project()
(in
LinearRegressionL1L2GL
)
prox()
(in
ProximalOperator
)
plot_map2d()
(in
parsimony.utils.plot
)
project()
(in
LinearRegressionL1L2TV
)
proximal
(in
parsimony.algorithms
)
PLSR
(in
parsimony.algorithms.nipals
)
project()
(in
LinearRegressionL2SmoothedL1TV
)
ProximalOperator
(in
parsimony.functions.properties
)
PLSRegression
(in
parsimony.estimators
)
project()
(in
PrincipalComponentAnalysisL1TV
)
positive()
(in
parsimony.utils.maths
)
project()
(in
MultiblockNesterovFunctionWrapper
)
Q
QuadraticConstraint
(in
parsimony.functions.penalties
)
R
rand()
(in
RandomUniform
)
reset()
(in
GeneralisedMultiblock
)
run()
(in
ShootingAlgorithm
)
random
(in
INIT
)
reset()
(in
LatentVariableCovariance
)
run()
(in
GradientDescent
)
random()
(in
parsimony.datasets.simulate.beta
)
reset()
(in
LatentVariableCovarianceSquared
)
run()
(in
MultiblockCONESTA
)
RandomStartVector
(in
parsimony.utils.start_vectors
)
reset()
(in
GroupLassoOverlap
)
run()
(in
MultiblockFISTA
)
RandomUniform
(in
parsimony.datasets.simulate.utils
)
reset()
(in
GroupTotalVariation
)
run()
(in
FastSVD
)
RankOneDeflation
(in
parsimony.algorithms.deflation
)
reset()
(in
L1TV
)
run()
(in
FastSVDProduct
)
regression
(in
parsimony.datasets
)
reset()
(in
TotalVariation
)
run()
(in
FastSparseSVD
)
regression
(in
parsimony.datasets.simulate
)
reset()
(in
LinearVariableConstraint
)
run()
(in
PLSR
)
RegressionEstimator
(in
parsimony.estimators
)
reset()
(in
RGCCAConstraint
)
run()
(in
SparsePLSR
)
resampling
(in
parsimony.utils
)
reset()
(in
RidgeSquaredError
)
run()
(in
ExcessiveGapMethod
)
reset()
(in
AugmentedLinearRegressionL1L2TV
)
reset()
(in
ZeroFunction
)
run()
(in
ADMM
)
reset()
(in
CombinedFunction
)
reset()
(in
Function
)
run()
(in
CONESTA
)
reset()
(in
LinearRegressionL1L2GL
)
RGCCAConstraint
(in
parsimony.functions.penalties
)
run()
(in
DykstrasProjectionAlgorithm
)
reset()
(in
LinearRegressionL1L2TV
)
RidgeLogisticRegression
(in
parsimony.estimators
)
run()
(in
DykstrasProximalAlgorithm
)
reset()
(in
LinearRegressionL2SmoothedL1TV
)
RidgeLogisticRegression
(in
parsimony.functions.losses
)
run()
(in
FISTA
)
reset()
(in
PrincipalComponentAnalysisL1TV
)
RidgeRegression
(in
parsimony.estimators
)
run()
(in
ISTA
)
reset()
(in
LatentVariableVariance
)
RidgeRegression
(in
parsimony.functions.losses
)
run()
(in
ParallelDykstrasProjectionAlgorithm
)
reset()
(in
LinearFunction
)
RidgeSquaredError
(in
parsimony.functions.penalties
)
run()
(in
ParallelDykstrasProximalAlgorithm
)
reset()
(in
LinearRegression
)
RowProjectionDeflation
(in
parsimony.algorithms.deflation
)
run()
(in
StaticCONESTA
)
reset()
(in
LogisticRegression
)
run()
(in
ExplicitAlgorithm
)
run()
(in
BacktrackingLineSearch
)
reset()
(in
RidgeLogisticRegression
)
run()
(in
ImplicitAlgorithm
)
run()
(in
Bisection
)
reset()
(in
RidgeRegression
)
run()
(in
KMeans
)
run()
(in
NewtonRaphson
)
reset()
(in
CombinedMultiblockFunction
)
run()
(in
LassoCoordinateDescent
)
Russett
(in
parsimony.datasets
)
S
score()
(in
BaseEstimator
)
set_params()
(in
PrincipalComponentAnalysisL1TV
)
start_vectors
(in
parsimony.utils
)
score()
(in
Clustering
)
set_params()
(in
Function
)
StaticCONESTA
(in
parsimony.algorithms.proximal
)
score()
(in
ElasticNet
)
set_rho()
(in
AugmentedLinearRegressionL1L2TV
)
stats
(in
parsimony.utils
)
score()
(in
Lasso
)
set_rho()
(in
AugmentedProximalOperator
)
step()
(in
CombinedFunction
)
score()
(in
LinearRegression
)
ShootingAlgorithm
(in
parsimony.algorithms.coordinate
)
step()
(in
LinearRegressionL1L2GL
)
score()
(in
LinearRegressionL1L2GL
)
simulate
(in
parsimony.datasets
)
step()
(in
LinearRegressionL1L2TV
)
score()
(in
LinearRegressionL1L2TV
)
simulate
(in
parsimony.datasets.simulate
)
step()
(in
PrincipalComponentAnalysisL1TV
)
score()
(in
LinearRegressionL2SmoothedL1TV
)
SimulatedData
(in
parsimony.datasets.simulate.simulate
)
step()
(in
LatentVariableVariance
)
score()
(in
LogisticRegressionEstimator
)
smooth_func_val
(in
Info
)
step()
(in
LinearFunction
)
score()
(in
PLSRegression
)
smoothed_grad()
(in
NesterovFunction
)
step()
(in
LinearRegression
)
score()
(in
RegressionEstimator
)
SmoothedGroupLasso
(in
parsimony.datasets.simulate.grad
)
step()
(in
LogisticRegression
)
score()
(in
RidgeRegression
)
SmoothedGroupTotalVariation
(in
parsimony.datasets.simulate.grad
)
step()
(in
RidgeLogisticRegression
)
score()
(in
SparsePLSRegression
)
SmoothedL1
(in
parsimony.datasets.simulate.grad
)
step()
(in
RidgeRegression
)
sensitivity()
(in
parsimony.utils.stats
)
SmoothedTotalVariation
(in
parsimony.datasets.simulate.grad
)
step()
(in
CombinedMultiblockFunction
)
set_mu()
(in
LinearRegressionL1L2GL
)
solve()
(in
Solver
)
step()
(in
GeneralisedMultiblock
)
set_mu()
(in
LinearRegressionL1L2TV
)
solve()
(in
SparseSolver
)
step()
(in
MultiblockFunctionWrapper
)
set_mu()
(in
LinearRegressionL2SmoothedL1TV
)
solve()
(in
TridiagonalSolver
)
step()
(in
MultiblockStepSize
)
set_mu()
(in
PrincipalComponentAnalysisL1TV
)
Solver
(in
parsimony.utils.linalgs
)
step()
(in
StepSize
)
set_mu()
(in
MultiblockNesterovFunctionWrapper
)
SparsePLSR
(in
parsimony.algorithms.nipals
)
StepSize
(in
parsimony.functions.properties
)
set_mu()
(in
NesterovFunction
)
SparsePLSRegression
(in
parsimony.estimators
)
stratified_bootstrap()
(in
parsimony.utils.resampling
)
set_params()
(in
BaseAlgorithm
)
SparseSolver
(in
parsimony.utils.linalgs
)
stratified_k_fold()
(in
parsimony.utils.resampling
)
set_params()
(in
BaseEstimator
)
spatial_smoothing()
(in
parsimony.datasets.utils
)
StronglyConvex
(in
parsimony.functions.properties
)
set_params()
(in
LinearRegressionL1L2GL
)
specificity()
(in
parsimony.utils.stats
)
sub
(in
__ops
)
set_params()
(in
LinearRegressionL1L2TV
)
SplittableFunction
(in
parsimony.functions.properties
)
SufficientDescentCondition
(in
parsimony.functions.penalties
)
set_params()
(in
LinearRegressionL2SmoothedL1TV
)
Square
(in
parsimony.datasets.utils
)
T
T
(in
MultipartArray
)
toarray()
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parsimony.functions.nesterov.tv
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parsimony.utils
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parsimony.datasets.simulate.correlation_matrices
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parsimony.datasets.simulate.utils
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parsimony.utils.linalgs
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parsimony.utils.utils
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parsimony.utils.consts
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parsimony.functions.nesterov
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parsimony.utils
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parsimony.datasets.simulate.grad
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parsimony.algorithms
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parsimony.datasets
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parsimony.utils
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parsimony.datasets.simulate
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parsimony
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V
V()
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LinearRegressionL2SmoothedL1TV
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V()
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GradientMap
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Z
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(in
parsimony.functions.penalties
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ZerosStartVector
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parsimony.utils.start_vectors
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ExplicitAlgorithm
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BaseAlgorithm
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KMeans
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Function
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LassoCoordinateDescent
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SimulatedData
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ShootingAlgorithm
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Dot
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ColumnProjectionDeflation
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MultiblockLipschitzContinuousGradient
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RowProjectionDeflation
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MultiblockProximalOperator
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FastSVD
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LinearRegressionL1L2GL
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ABCMeta
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LinearRegressionL1L2TV
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LinearRegressionL2SmoothedL1TV
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Function
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Function
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L1
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NesterovFunction
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LinearFunction
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LogisticRegression
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CombinedMultiblockFunction
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GeneralisedMultiblock
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LatentVariableCovariance
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MultiblockFunctionWrapper
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Function
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MultiblockNesterovFunctionWrapper
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LinearRegressionL1L2GL
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GroupLassoOverlap
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LinearRegressionL1L2TV
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Hessian
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LinearRegressionL2SmoothedL1TV
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L1
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LipschitzContinuousGradient
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L1TV
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LogisticRegressionL1L2GL
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LogisticRegressionL1L2TV
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L1
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L1L2Squared
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RegressionEstimator
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L2
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RidgeLogisticRegression
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L2Squared
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RidgeRegression
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BaseAlgorithm
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SparsePLSRegression
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LinearVariableConstraint
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LassoCoordinateDescent
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QuadraticConstraint
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ShootingAlgorithm
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LinearRegressionL1L2TV
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RGCCAConstraint
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LinearRegressionL2SmoothedL1TV
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RidgeSquaredError
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MultiblockCONESTA
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PrincipalComponentAnalysisL1TV
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SufficientDescentCondition
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ZeroFunction
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FastSVD
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LinearFunction
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AugmentedProximalOperator
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FastSVDProduct
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CombinedProjectionOperator
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FastSparseSVD
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LogisticRegression
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NesterovFunction
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PLSR
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RidgeLogisticRegression
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OR
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SparsePLSR
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RidgeRegression
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ExcessiveGapMethod
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CombinedMultiblockFunction
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ADMM
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GeneralisedMultiblock
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CONESTA
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DykstrasProjectionAlgorithm
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parsimony
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_abc_registry
(in
Penalty
)
__init__()
(in
KMeans
)
__package__
(in
parsimony.functions.losses
)
_abc_registry
(in
ProjectionOperator
)
__init__()
(in
LassoCoordinateDescent
)
__package__
(in
parsimony.functions.multiblock
)
_abc_registry
(in
ProximalOperator
)
__init__()
(in
ShootingAlgorithm
)
__package__
(in
parsimony.functions.multiblock.combinedfunctions
)
_abc_registry
(in
StepSize
)
__init__()
(in
GradientDescent
)
__package__
(in
parsimony.functions.multiblock.losses
)
_abc_registry
(in
StronglyConvex
)
__init__()
(in
MultiblockCONESTA
)
__package__
(in
parsimony.functions.multiblock.properties
)
_abc_registry
(in
Solver
)
__init__()
(in
MultiblockFISTA
)
__package__
(in
parsimony.functions.nesterov
)
_abc_registry
(in
BaseStartVector
)
__init__()
(in
PLSR
)
__package__
(in
parsimony.functions.nesterov.gl
)
_approximate_eps()
(in
StaticCONESTA
)
__init__()
(in
SparsePLSR
)
__package__
(in
parsimony.functions.nesterov.grouptv
)
_closest_centers()
(in
KMeans
)
__init__()
(in
ExcessiveGapMethod
)
__package__
(in
parsimony.functions.nesterov.l1
)
_compute_value()
(in
RGCCAConstraint
)
__init__()
(in
ADMM
)
__package__
(in
parsimony.functions.nesterov.l1tv
)
_del_T()
(in
MultipartArray
)
__init__()
(in
CONESTA
)
__package__
(in
parsimony.functions.nesterov.properties
)
_f()
(in
LassoCoordinateDescent
)
__init__()
(in
DykstrasProjectionAlgorithm
)
__package__
(in
parsimony.functions.nesterov.tv
)
_f()
(in
ShootingAlgorithm
)
__init__()
(in
DykstrasProximalAlgorithm
)
__package__
(in
parsimony.functions.penalties
)
_generate()
(in
parsimony.datasets.simulate.l1_l2_gl
)
__init__()
(in
FISTA
)
__package__
(in
parsimony.functions.properties
)
_generate()
(in
parsimony.datasets.simulate.l1_l2_glmu
)
__init__()
(in
ISTA
)
__package__
(in
parsimony.utils
)
_generate()
(in
parsimony.datasets.simulate.l1_l2_grouptvmu
)
__init__()
(in
ParallelDykstrasProjectionAlgorithm
)
__package__
(in
parsimony.utils.check_arrays'
)
_generate()
(in
parsimony.datasets.simulate.l1_l2_tv
)
__init__()
(in
ParallelDykstrasProximalAlgorithm
)
__package__
(in
parsimony.utils.classif_label
)
_generate()
(in
parsimony.datasets.simulate.l1_l2_tvmu
)
__init__()
(in
StaticCONESTA
)
__package__
(in
parsimony.utils.consts
)
_generate()
(in
parsimony.datasets.simulate.l1mu_l2_tvmu
)
__init__()
(in
BacktrackingLineSearch
)
__package__
(in
parsimony.utils.linalgs
)
_get_T()
(in
MultipartArray
)
__init__()
(in
Bisection
)
__package__
(in
parsimony.utils.maths
)
_harmonic_number_approx()
(in
StaticCONESTA
)
__init__()
(in
NewtonRaphson
)
__package__
(in
parsimony.utils.plot
)
_init_mus()
(in
KMeans
)
__init__()
(in
Function
)
__package__
(in
parsimony.utils.resampling
)
_Nesterov_grad()
(in
parsimony.datasets.simulate.grad
)
__init__()
(in
GroupLasso
)
__package__
(in
parsimony.utils.start_vectors
)
_Nesterov_grad_smoothed()
(in
parsimony.datasets.simulate.grad
)
__init__()
(in
L1
)
__package__
(in
parsimony.utils.stats
)
_Nesterov_GroupTV_project()
(in
parsimony.datasets.simulate.grad
)
__init__()
(in
L2
)
__package__
(in
parsimony.utils.testing
)
_Nesterov_project()
(in
parsimony.datasets.simulate.grad
)
__init__()
(in
L2Squared
)
__package__
(in
parsimony.utils.utils
)
_Nesterov_TV_project()
(in
parsimony.datasets.simulate.grad
)
__init__()
(in
NesterovFunction
)
__proj_old()
(in
L1
)
_Nestetov_alpha()
(in
parsimony.datasets.simulate.grad
)
__init__()
(in
SmoothedGroupLasso
)
__repr__()
(in
MultipartArray
)
_new_centers()
(in
KMeans
)
__init__()
(in
SmoothedGroupTotalVariation
)
__str__()
(in
OR
)
_set_T()
(in
MultipartArray
)
__init__()
(in
SmoothedL1
)
__str__()
(in
MultipartArray
)
_wcss()
(in
KMeans
)
__init__()
(in
SmoothedTotalVariation
)
__sub__()
(in
MultipartArray
)
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