scnn
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scnn
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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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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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W
A
active_features (scnn.metrics.Metrics attribute)
active_neurons (scnn.metrics.Metrics attribute)
AL (class in scnn.solvers)
ApproximateConeDecomposition (class in scnn.solvers)
B
bias (scnn.models.ConvexGatedReLU attribute)
(scnn.models.ConvexReLU attribute)
(scnn.models.GatedModel attribute)
(scnn.models.LinearModel attribute)
(scnn.models.Model attribute)
(scnn.models.NonConvexGatedReLU attribute)
(scnn.models.NonConvexReLU attribute)
C
c (scnn.models.ConvexGatedReLU attribute)
(scnn.models.ConvexReLU attribute)
(scnn.models.GatedModel attribute)
(scnn.models.LinearModel attribute)
(scnn.models.Model attribute)
(scnn.models.NonConvexGatedReLU attribute)
(scnn.models.NonConvexReLU attribute)
clean_sol (scnn.solvers.CVXPYSolver attribute)
compute_activation_patterns() (in module scnn.activations)
compute_activations() (scnn.models.GatedModel method)
constraint_gaps (scnn.metrics.Metrics attribute)
constraint_tol (scnn.solvers.AL attribute)
ConvexGatedReLU (class in scnn.models)
ConvexReLU (class in scnn.models)
CVXPYSolver (class in scnn.solvers)
D
d (scnn.models.ConvexGatedReLU attribute)
(scnn.models.ConvexReLU attribute)
(scnn.models.GatedModel attribute)
(scnn.models.LinearModel attribute)
(scnn.models.Model attribute)
(scnn.models.NonConvexGatedReLU attribute)
(scnn.models.NonConvexReLU attribute)
d_max_iters (scnn.solvers.ApproximateConeDecomposition attribute)
d_tol (scnn.solvers.ApproximateConeDecomposition attribute)
delta (scnn.solvers.AL attribute)
E
ExactConeDecomposition (class in scnn.solvers)
F
feature_sparsity (scnn.metrics.Metrics attribute)
FeatureGL1 (class in scnn.regularizers)
G
G (scnn.models.ConvexGatedReLU attribute)
(scnn.models.ConvexReLU attribute)
(scnn.models.GatedModel attribute)
(scnn.models.NonConvexGatedReLU attribute)
G_bias (scnn.models.ConvexGatedReLU attribute)
(scnn.models.ConvexReLU attribute)
(scnn.models.GatedModel attribute)
(scnn.models.NonConvexGatedReLU attribute)
GatedModel (class in scnn.models)
generate_index_lists() (in module scnn.activations)
get_parameters() (scnn.models.ConvexGatedReLU method)
(scnn.models.ConvexReLU method)
(scnn.models.LinearModel method)
(scnn.models.NonConvexGatedReLU method)
(scnn.models.NonConvexReLU method)
grad_norm (scnn.metrics.Metrics attribute)
H
has_test_metrics() (scnn.metrics.Metrics method)
L
L1 (class in scnn.regularizers)
L2 (class in scnn.regularizers)
lagrangian_grad (scnn.metrics.Metrics attribute)
lam (scnn.regularizers.FeatureGL1 attribute)
(scnn.regularizers.L1 attribute)
(scnn.regularizers.L2 attribute)
(scnn.regularizers.NeuronGL1 attribute)
LeastSquaresSolver (class in scnn.solvers)
LinearModel (class in scnn.models)
M
max_dual_iters (scnn.solvers.AL attribute)
max_iters (scnn.solvers.ApproximateConeDecomposition attribute)
(scnn.solvers.LeastSquaresSolver attribute)
(scnn.solvers.RFISTA attribute)
max_primal_iters (scnn.solvers.AL attribute)
metric_freq (scnn.metrics.Metrics attribute)
Metrics (class in scnn.metrics)
metrics_to_collect (scnn.metrics.Metrics attribute)
Model (class in scnn.models)
model (scnn.solvers.AL attribute)
(scnn.solvers.ApproximateConeDecomposition attribute)
(scnn.solvers.CVXPYSolver attribute)
(scnn.solvers.LeastSquaresSolver attribute)
(scnn.solvers.Optimizer attribute)
(scnn.solvers.RFISTA attribute)
model_loss (scnn.metrics.Metrics attribute)
module
scnn.activations
scnn.loss_functions
scnn.metrics
scnn.models
scnn.optimize
scnn.regularizers
scnn.solvers
N
neuron_sparsity (scnn.metrics.Metrics attribute)
NeuronGL1 (class in scnn.regularizers)
NonConvexGatedReLU (class in scnn.models)
NonConvexReLU (class in scnn.models)
O
objective (scnn.metrics.Metrics attribute)
optimize() (in module scnn.optimize)
optimize_model() (in module scnn.optimize)
optimize_path() (in module scnn.optimize)
Optimizer (class in scnn.solvers)
P
p (scnn.models.ConvexGatedReLU attribute)
(scnn.models.ConvexReLU attribute)
(scnn.models.GatedModel attribute)
(scnn.models.LinearModel attribute)
(scnn.models.Model attribute)
(scnn.models.NonConvexGatedReLU attribute)
(scnn.models.NonConvexReLU attribute)
parameters (scnn.models.ConvexGatedReLU attribute)
(scnn.models.ConvexReLU attribute)
(scnn.models.LinearModel attribute)
(scnn.models.Model attribute)
(scnn.models.NonConvexGatedReLU attribute)
(scnn.models.NonConvexReLU attribute)
R
Regularizer (class in scnn.regularizers)
RFISTA (class in scnn.solvers)
rho (scnn.solvers.ApproximateConeDecomposition attribute)
S
sample_convolutional_gates() (in module scnn.activations)
sample_dense_gates() (in module scnn.activations)
sample_gate_vectors() (in module scnn.activations)
sample_sparse_gates() (in module scnn.activations)
scnn.activations
module
scnn.loss_functions
module
scnn.metrics
module
scnn.models
module
scnn.optimize
module
scnn.regularizers
module
scnn.solvers
module
set_parameters() (scnn.models.ConvexGatedReLU method)
(scnn.models.ConvexReLU method)
(scnn.models.LinearModel method)
(scnn.models.NonConvexGatedReLU method)
(scnn.models.NonConvexReLU method)
solver (scnn.solvers.CVXPYSolver attribute)
(scnn.solvers.LeastSquaresSolver attribute)
solver_kwargs (scnn.solvers.CVXPYSolver attribute)
SquaredLoss (class in scnn.loss_functions)
T
test_mse (scnn.metrics.Metrics attribute)
time (scnn.metrics.Metrics attribute)
tol (scnn.solvers.AL attribute)
(scnn.solvers.ApproximateConeDecomposition attribute)
(scnn.solvers.LeastSquaresSolver attribute)
(scnn.solvers.RFISTA attribute)
total_features (scnn.metrics.Metrics attribute)
total_neurons (scnn.metrics.Metrics attribute)
train_accuracy (scnn.metrics.Metrics attribute)
train_mse (scnn.metrics.Metrics attribute)
W
weight_sparsity (scnn.metrics.Metrics attribute)
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