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_
__add__() (graphdot.linalg.low_rank.LowRankBase method)
(graphdot.microkernel.MicroKernel method)
__call__() (graphdot.codegen.sympy_printer.CUDACXX11CodePrinter method)
(graphdot.experimental.alterantive_mgk.AltMarginalizedGraphKernel method)
(graphdot.experimental.metric.M3 method)
(graphdot.experimental.metric.m3.M3 method)
(graphdot.graph.adjacency.AtomicAdjacency method)
(graphdot.graph.adjacency.Gaussian method)
(graphdot.graph.adjacency.Tent method)
(graphdot.graph.adjacency.atomic.AtomicAdjacency method)
(graphdot.graph.adjacency.euclidean.CompactBell method)
(graphdot.graph.adjacency.euclidean.Gaussian method)
(graphdot.graph.adjacency.euclidean.Tent method)
(graphdot.graph.reorder.pbr.mnom.PbrMnom method)
(graphdot.kernel.KernelOverMetric method)
(graphdot.kernel.MarginalizedGraphKernel method)
(graphdot.kernel.Tang2019MolecularKernel method)
(graphdot.kernel.fix.Exponentiation method)
(graphdot.kernel.fix.Normalization method)
(graphdot.kernel.marginalized.MarginalizedGraphKernel method)
(graphdot.kernel.marginalized.starting_probability.StartingProbability method)
(graphdot.kernel.molecular.Tang2019MolecularKernel method)
(graphdot.kernel.rbf.RBFKernel method)
(graphdot.metric.KernelInducedDistance method)
(graphdot.metric.MaxiMin method)
(graphdot.metric.maximin.MaxiMin method)
(graphdot.microkernel.MicroKernel method)
(graphdot.model.active_learning.DeterminantMaximizer method)
(graphdot.model.active_learning.HierarchicalDrafter method)
(graphdot.model.active_learning.VarianceMinimizer method)
(graphdot.model.active_learning.determinant_maximizer.DeterminantMaximizer method)
(graphdot.model.active_learning.hierarchical_drafter.HierarchicalDrafter method)
(graphdot.model.active_learning.variance_minimizer.VarianceMinimizer method)
(graphdot.model.gaussian_field.RBFOverDistance method)
(graphdot.model.gaussian_field.RBFOverFixedDistance method)
(graphdot.model.gaussian_field.Weight method)
(graphdot.model.gaussian_field.weight.RBFOverDistance method)
(graphdot.model.gaussian_field.weight.RBFOverFixedDistance method)
(graphdot.model.gaussian_field.weight.Weight method)
(graphdot.model.tree_search.LookAheadSequenceRewriter method)
__mul__() (graphdot.microkernel.MicroKernel method)
A
active_theta_mask (graphdot.kernel.marginalized.MarginalizedGraphKernel attribute)
(graphdot.kernel.MarginalizedGraphKernel attribute)
add() (in module graphdot.linalg.low_rank)
add_classmethod() (in module graphdot.util)
Additive() (in module graphdot.microkernel)
(in module graphdot.microkernel.additive)
adjacency_matrix (graphdot.Graph attribute)
(graphdot.graph.Graph attribute)
AltMarginalizedGraphKernel (class in graphdot.experimental.alterantive_mgk)
append() (graphdot.cuda.resizable_array.ResizableArray method)
argmax() (in module graphdot.util.iterable)
AtomicAdjacency (class in graphdot.graph.adjacency)
(class in graphdot.graph.adjacency.atomic)
average_label_entropy() (graphdot.model.gaussian_field.GaussianFieldRegressor method)
(graphdot.model.gaussian_field.gfr.GaussianFieldRegressor method)
B
binvh1() (in module graphdot.linalg.block)
bounds (graphdot.kernel.fix.Exponentiation attribute)
(graphdot.kernel.KernelOverMetric attribute)
(graphdot.kernel.MarginalizedGraphKernel attribute)
(graphdot.kernel.Tang2019MolecularKernel attribute)
(graphdot.kernel.fix.Normalization attribute)
(graphdot.kernel.marginalized.MarginalizedGraphKernel attribute)
(graphdot.kernel.marginalized.starting_probability.StartingProbability attribute)
(graphdot.kernel.molecular.Tang2019MolecularKernel attribute)
(graphdot.metric.KernelInducedDistance attribute)
(graphdot.microkernel.MicroKernel attribute)
(graphdot.model.gaussian_field.RBFOverDistance attribute)
(graphdot.model.gaussian_field.RBFOverFixedDistance attribute)
(graphdot.model.gaussian_field.Weight attribute)
(graphdot.model.gaussian_field.weight.RBFOverDistance attribute)
(graphdot.model.gaussian_field.weight.RBFOverFixedDistance attribute)
(graphdot.model.gaussian_field.weight.Weight attribute)
C
C (graphdot.model.gaussian_process.LowRankApproximateGPR attribute)
(graphdot.model.gaussian_process.nystrom.LowRankApproximateGPR attribute)
can_cast() (in module graphdot.codegen.typetool)
capacity (graphdot.cuda.resizable_array.ResizableArray attribute)
CGSolver (class in graphdot.linalg.cg)
chol_solve() (in module graphdot.linalg.cholesky)
CholSolver (class in graphdot.linalg.cholesky)
clear() (graphdot.cuda.resizable_array.ResizableArray method)
clone_with_theta() (graphdot.kernel.fix.Exponentiation method)
(graphdot.kernel.KernelOverMetric method)
(graphdot.kernel.MarginalizedGraphKernel method)
(graphdot.kernel.Tang2019MolecularKernel method)
(graphdot.kernel.fix.Normalization method)
(graphdot.kernel.marginalized.MarginalizedGraphKernel method)
(graphdot.kernel.molecular.Tang2019MolecularKernel method)
(graphdot.metric.KernelInducedDistance method)
(graphdot.model.gaussian_field.Weight method)
(graphdot.model.gaussian_field.weight.Weight method)
ColnetHygr (class in graphdot.graph.reorder.pbr.colnet_hypergraph)
columns (graphdot.minipandas.DataFrame attribute)
(graphdot.minipandas.dataframe.DataFrame attribute)
common_concrete_type (class in graphdot.codegen.typetool)
common_min_type (class in graphdot.codegen.typetool)
CompactBell (class in graphdot.graph.adjacency.euclidean)
Composite() (in module graphdot.microkernel)
(in module graphdot.microkernel.composite)
concrete_type (graphdot.minipandas.Series attribute)
(graphdot.minipandas.series.Series attribute)
cond() (graphdot.linalg.low_rank.LLT method)
Constant() (in module graphdot.microkernel)
context() (graphdot.codegen.Template method)
(graphdot.codegen.template.Template method)
Convolution() (in module graphdot.microkernel)
(in module graphdot.microkernel.convolution)
cookie (graphdot.Graph attribute)
(graphdot.graph.Graph attribute)
copy() (graphdot.Graph method)
(graphdot.graph.Graph method)
(graphdot.minipandas.DataFrame method)
(graphdot.minipandas.dataframe.DataFrame method)
copying_lru_cache() (in module graphdot.graph.adjacency.atomic)
cpptype() (in module graphdot.codegen.cpptool)
createFromPairs() (graphdot.graph.reorder.pbr.colnet_hypergraph.ColnetHygr method)
CUDACXX11CodePrinter (class in graphdot.codegen.sympy_printer)
cutoff() (graphdot.graph.adjacency.atomic.AtomicAdjacency method)
(graphdot.graph.adjacency.AtomicAdjacency method)
(graphdot.graph.adjacency.Gaussian method)
(graphdot.graph.adjacency.Tent method)
(graphdot.graph.adjacency.euclidean.CompactBell method)
(graphdot.graph.adjacency.euclidean.Gaussian method)
(graphdot.graph.adjacency.euclidean.Tent method)
D
data (graphdot.cuda.resizable_array.ResizableArray attribute)
DataFrame (class in graphdot.minipandas)
(class in graphdot.minipandas.dataframe)
decltype() (in module graphdot.codegen.cpptool)
DeterminantMaximizer (class in graphdot.model.active_learning)
(class in graphdot.model.active_learning.determinant_maximizer)
diag() (graphdot.kernel.fix.Exponentiation method)
(graphdot.kernel.KernelOverMetric method)
(graphdot.kernel.MarginalizedGraphKernel method)
(graphdot.kernel.Tang2019MolecularKernel method)
(graphdot.kernel.fix.Normalization method)
(graphdot.kernel.marginalized.MarginalizedGraphKernel method)
(graphdot.kernel.molecular.Tang2019MolecularKernel method)
(graphdot.kernel.rbf.RBFKernel method)
diagonal() (graphdot.linalg.cg.CGSolver method)
(graphdot.linalg.cholesky.CholSolver method)
(graphdot.linalg.low_rank.LATR method)
(graphdot.linalg.low_rank.LLT method)
(graphdot.linalg.low_rank.Sum method)
dot() (in module graphdot.linalg.low_rank)
DotProduct() (in module graphdot.microkernel)
(in module graphdot.microkernel.dotproduct)
drop() (graphdot.minipandas.DataFrame method)
(graphdot.minipandas.dataframe.DataFrame method)
dtype (graphdot.microkernel.Product attribute)
E
Exponentiation (class in graphdot.kernel.fix)
F
fit() (graphdot.model.gaussian_field.GaussianFieldRegressor method)
(graphdot.model.gaussian_field.gfr.GaussianFieldRegressor method)
(graphdot.model.gaussian_process.GPROutlierDetector method)
(graphdot.model.gaussian_process.GaussianProcessRegressor method)
(graphdot.model.gaussian_process.LowRankApproximateGPR method)
(graphdot.model.gaussian_process.gpr.GaussianProcessRegressor method)
(graphdot.model.gaussian_process.nystrom.LowRankApproximateGPR method)
(graphdot.model.gaussian_process.outlier_detector.GPROutlierDetector method)
(graphdot.model.tree_search.LookAheadSequenceRewriter method)
fit_loocv() (graphdot.model.gaussian_process.GaussianProcessRegressor method)
(graphdot.model.gaussian_process.gpr.GaussianProcessRegressor method)
fit_predict() (graphdot.model.gaussian_field.GaussianFieldRegressor method)
(graphdot.model.gaussian_field.gfr.GaussianFieldRegressor method)
flat_hyperparameters (graphdot.kernel.marginalized.MarginalizedGraphKernel attribute)
(graphdot.kernel.MarginalizedGraphKernel attribute)
flatten() (in module graphdot.util.iterable)
fold_like() (in module graphdot.util.iterable)
from_ase() (graphdot.Graph class method)
(graphdot.graph.Graph class method)
from_networkx() (graphdot.Graph class method)
(graphdot.graph.Graph class method)
from_pymatgen() (graphdot.Graph class method)
(graphdot.graph.Graph class method)
from_rdkit() (graphdot.Graph class method)
(graphdot.graph.Graph class method)
from_smiles() (graphdot.Graph class method)
(graphdot.graph.Graph class method)
from_sympy() (graphdot.microkernel.MicroKernel static method)
G
Gaussian (class in graphdot.graph.adjacency)
(class in graphdot.graph.adjacency.euclidean)
GaussianFieldRegressor (class in graphdot.model.gaussian_field)
(class in graphdot.model.gaussian_field.gfr)
GaussianProcessRegressor (class in graphdot.model.gaussian_process)
(class in graphdot.model.gaussian_process.gpr)
GaussianProcessRegressorBase (class in graphdot.model.gaussian_process.base)
gen_expr() (graphdot.kernel.marginalized.starting_probability.StartingProbability method)
(graphdot.microkernel.MicroKernel method)
get_length_scales() (in module graphdot.graph.adjacency.atomic)
get_params() (graphdot.kernel.KernelOverMetric method)
(graphdot.kernel.rbf.RBFKernel method)
get_ptable() (in module graphdot.graph.adjacency.atomic)
GPROutlierDetector (class in graphdot.model.gaussian_process)
(class in graphdot.model.gaussian_process.outlier_detector)
gradient() (graphdot.kernel.rbf.RBFKernel method)
Graph (class in graphdot)
(class in graphdot.graph)
graphdot (module)
graphdot.codegen (module)
graphdot.codegen.cpptool (module)
graphdot.codegen.sympy_printer (module)
graphdot.codegen.template (module)
graphdot.codegen.typetool (module)
graphdot.cpp (module)
graphdot.cuda (module)
graphdot.cuda.array (module)
graphdot.cuda.resizable_array (module)
graphdot.dataset.qm7 (module)
graphdot.dataset.qm9 (module)
graphdot.experimental (module)
graphdot.experimental.alterantive_mgk (module)
graphdot.experimental.metric (module)
graphdot.experimental.metric.m3 (module)
graphdot.graph (module)
graphdot.graph.adjacency (module)
graphdot.graph.adjacency.atomic (module)
graphdot.graph.adjacency.euclidean (module)
graphdot.graph.reorder (module)
graphdot.graph.reorder.pbr (module)
graphdot.graph.reorder.pbr.colnet_hypergraph (module)
graphdot.graph.reorder.pbr.config (module)
graphdot.graph.reorder.pbr.hypergraph (module)
graphdot.graph.reorder.pbr.mnom (module)
graphdot.graph.reorder.rcm (module)
graphdot.kernel (module)
graphdot.kernel.basekernel (module)
graphdot.kernel.fix (module)
graphdot.kernel.marginalized (module)
graphdot.kernel.marginalized.basekernel (module)
graphdot.kernel.marginalized.starting_probability (module)
graphdot.kernel.molecular (module)
graphdot.kernel.rbf (module)
graphdot.linalg (module)
graphdot.linalg.block (module)
graphdot.linalg.cg (module)
graphdot.linalg.cholesky (module)
graphdot.linalg.low_rank (module)
graphdot.linalg.spectral (module)
graphdot.metric (module)
graphdot.metric.maximin (module)
graphdot.microkernel (module)
graphdot.microkernel.additive (module)
graphdot.microkernel.composite (module)
graphdot.microkernel.convolution (module)
graphdot.microkernel.dotproduct (module)
graphdot.microkernel.kronecker_delta (module)
graphdot.microkernel.product (module)
graphdot.microkernel.rational_quadratic (module)
graphdot.microkernel.square_exponential (module)
graphdot.microkernel.tensor_product (module)
graphdot.minipandas (module)
graphdot.minipandas.dataframe (module)
graphdot.minipandas.series (module)
graphdot.model (module)
graphdot.model.active_learning (module)
graphdot.model.active_learning.determinant_maximizer (module)
graphdot.model.active_learning.hierarchical_drafter (module)
graphdot.model.active_learning.variance_minimizer (module)
graphdot.model.gaussian_field (module)
graphdot.model.gaussian_field.gfr (module)
graphdot.model.gaussian_field.weight (module)
graphdot.model.gaussian_process (module)
graphdot.model.gaussian_process.base (module)
graphdot.model.gaussian_process.gpr (module)
graphdot.model.gaussian_process.nystrom (module)
graphdot.model.gaussian_process.outlier_detector (module)
graphdot.model.tree_search (module)
graphdot.model.tree_search.graph_transformer (module)
graphdot.util (module)
graphdot.util.cookie (module)
graphdot.util.iterable (module)
graphdot.util.pretty_tuple (module)
graphdot.util.printer (module)
H
has_unified_types() (graphdot.Graph static method)
(graphdot.graph.Graph static method)
have_same_fields() (in module graphdot.codegen.typetool)
HierarchicalDrafter (class in graphdot.model.active_learning)
(class in graphdot.model.active_learning.hierarchical_drafter)
Hygr (class in graphdot.graph.reorder.pbr.hypergraph)
hyperparameter_bounds (graphdot.kernel.fix.Exponentiation attribute)
(graphdot.kernel.MarginalizedGraphKernel attribute)
(graphdot.kernel.Tang2019MolecularKernel attribute)
(graphdot.kernel.fix.Normalization attribute)
(graphdot.kernel.marginalized.MarginalizedGraphKernel attribute)
(graphdot.kernel.molecular.Tang2019MolecularKernel attribute)
hyperparameters (graphdot.kernel.fix.Exponentiation attribute)
(graphdot.kernel.KernelOverMetric attribute)
(graphdot.kernel.MarginalizedGraphKernel attribute)
(graphdot.kernel.Tang2019MolecularKernel attribute)
(graphdot.kernel.fix.Normalization attribute)
(graphdot.kernel.marginalized.MarginalizedGraphKernel attribute)
(graphdot.kernel.molecular.Tang2019MolecularKernel attribute)
(graphdot.metric.KernelInducedDistance attribute)
I
is_stationary() (graphdot.kernel.marginalized.MarginalizedGraphKernel method)
(graphdot.kernel.MarginalizedGraphKernel method)
iterrows() (graphdot.minipandas.DataFrame method)
(graphdot.minipandas.dataframe.DataFrame method)
iterstates() (graphdot.minipandas.DataFrame method)
(graphdot.minipandas.dataframe.DataFrame method)
itertuples() (graphdot.minipandas.DataFrame method)
(graphdot.minipandas.dataframe.DataFrame method)
K
KernelInducedDistance (class in graphdot.metric)
KernelOverMetric (class in graphdot.kernel)
KroneckerDelta() (in module graphdot.microkernel)
(in module graphdot.microkernel.kronecker_delta)
L
laplacian (graphdot.Graph attribute)
(graphdot.graph.Graph attribute)
LATR (class in graphdot.linalg.low_rank)
lhs (graphdot.linalg.low_rank.LATR attribute)
(graphdot.linalg.low_rank.LLT attribute)
LLT (class in graphdot.linalg.low_rank)
load() (graphdot.model.gaussian_process.base.GaussianProcessRegressorBase method)
log_marginal_likelihood() (graphdot.model.gaussian_process.GaussianProcessRegressor method)
(graphdot.model.gaussian_process.GPROutlierDetector method)
(graphdot.model.gaussian_process.LowRankApproximateGPR method)
(graphdot.model.gaussian_process.gpr.GaussianProcessRegressor method)
(graphdot.model.gaussian_process.nystrom.LowRankApproximateGPR method)
(graphdot.model.gaussian_process.outlier_detector.GPROutlierDetector method)
logdet() (graphdot.linalg.low_rank.LLT method)
loocv_error() (graphdot.model.gaussian_field.GaussianFieldRegressor method)
(graphdot.model.gaussian_field.gfr.GaussianFieldRegressor method)
loocv_error_1() (graphdot.model.gaussian_field.GaussianFieldRegressor method)
(graphdot.model.gaussian_field.gfr.GaussianFieldRegressor method)
loocv_error_2() (graphdot.model.gaussian_field.GaussianFieldRegressor method)
(graphdot.model.gaussian_field.gfr.GaussianFieldRegressor method)
LookAheadSequenceRewriter (class in graphdot.model.tree_search)
LookAheadSequenceRewriter.Payload (class in graphdot.model.tree_search)
LowRankApproximateGPR (class in graphdot.model.gaussian_process)
(class in graphdot.model.gaussian_process.nystrom)
LowRankBase (class in graphdot.linalg.low_rank)
M
M3 (class in graphdot.experimental.metric)
(class in graphdot.experimental.metric.m3)
managed_allocator() (in module graphdot.cuda.resizable_array)
ManagedArray (class in graphdot.cuda.array)
MarginalizedGraphKernel (class in graphdot.kernel)
(class in graphdot.kernel.marginalized)
markdown (class in graphdot.util.printer)
mask() (graphdot.model.gaussian_process.base.GaussianProcessRegressorBase static method)
matmul() (in module graphdot.linalg.low_rank)
MaxiMin (class in graphdot.metric)
(class in graphdot.metric.maximin)
MCTSGraphTransformer (class in graphdot.model.tree_search)
(class in graphdot.model.tree_search.graph_transformer)
MicroKernel (class in graphdot.microkernel)
minmax (graphdot.microkernel.MicroKernel attribute)
N
n_dims (graphdot.kernel.marginalized.MarginalizedGraphKernel attribute)
(graphdot.kernel.MarginalizedGraphKernel attribute)
name (graphdot.microkernel.MicroKernel attribute)
Normalization (class in graphdot.kernel.fix)
Normalize() (in module graphdot.microkernel)
normalized (graphdot.microkernel.MicroKernel attribute)
numpy_allocator() (in module graphdot.cuda.resizable_array)
O
of_types() (graphdot.codegen.typetool.common_concrete_type static method)
(graphdot.codegen.typetool.common_min_type static method)
of_values() (graphdot.codegen.typetool.common_concrete_type static method)
(graphdot.codegen.typetool.common_min_type static method)
P
partition_hygr() (graphdot.graph.reorder.pbr.mnom.PbrMnom method)
pbr() (in module graphdot.graph.reorder)
(in module graphdot.graph.reorder.pbr)
PbrMnom (class in graphdot.graph.reorder.pbr.mnom)
permute() (graphdot.Graph method)
(graphdot.graph.Graph method)
pinv() (graphdot.linalg.low_rank.LLT method)
pinvh() (in module graphdot.linalg.low_rank)
(in module graphdot.linalg.spectral)
powerh() (in module graphdot.linalg.spectral)
predict() (graphdot.model.gaussian_field.GaussianFieldRegressor method)
(graphdot.model.gaussian_field.gfr.GaussianFieldRegressor method)
(graphdot.model.gaussian_process.GPROutlierDetector method)
(graphdot.model.gaussian_process.GaussianProcessRegressor method)
(graphdot.model.gaussian_process.LowRankApproximateGPR method)
(graphdot.model.gaussian_process.gpr.GaussianProcessRegressor method)
(graphdot.model.gaussian_process.nystrom.LowRankApproximateGPR method)
(graphdot.model.gaussian_process.outlier_detector.GPROutlierDetector method)
predict_loocv() (graphdot.model.gaussian_process.GaussianProcessRegressor method)
(graphdot.model.gaussian_process.LowRankApproximateGPR method)
(graphdot.model.gaussian_process.gpr.GaussianProcessRegressor method)
(graphdot.model.gaussian_process.nystrom.LowRankApproximateGPR method)
pretty_tuple() (in module graphdot.util.pretty_tuple)
Product (class in graphdot.microkernel)
ptr (graphdot.cuda.array.ManagedArray attribute)
Q
QM7() (in module graphdot.dataset.qm7)
QM9() (in module graphdot.dataset.qm9)
quadratic() (graphdot.linalg.low_rank.LATR method)
(graphdot.linalg.low_rank.Sum method)
quadratic_diag() (graphdot.linalg.low_rank.LATR method)
R
RationalQuadratic (in module graphdot.microkernel)
RBFKernel (class in graphdot.kernel.rbf)
RBFOverDistance (class in graphdot.model.gaussian_field)
(class in graphdot.model.gaussian_field.weight)
RBFOverFixedDistance (class in graphdot.model.gaussian_field)
(class in graphdot.model.gaussian_field.weight)
rcm() (in module graphdot.graph.reorder)
(in module graphdot.graph.reorder.rcm)
render() (graphdot.codegen.Template method)
(graphdot.codegen.template.Template method)
replace() (in module graphdot.util.iterable)
report() (graphdot.util.Timer method)
requires_vector_input (graphdot.kernel.marginalized.MarginalizedGraphKernel attribute)
(graphdot.kernel.MarginalizedGraphKernel attribute)
reserve() (graphdot.cuda.resizable_array.ResizableArray method)
reset() (graphdot.util.Timer method)
ResizableArray (class in graphdot.cuda.resizable_array)
resize() (graphdot.cuda.resizable_array.ResizableArray method)
rhs (graphdot.linalg.low_rank.LATR attribute)
(graphdot.linalg.low_rank.LLT attribute)
rows() (graphdot.minipandas.DataFrame method)
(graphdot.minipandas.dataframe.DataFrame method)
rowtype() (graphdot.minipandas.DataFrame method)
(graphdot.minipandas.dataframe.DataFrame method)
S
save() (graphdot.model.gaussian_process.base.GaussianProcessRegressorBase method)
seek() (graphdot.model.tree_search.graph_transformer.MCTSGraphTransformer method)
(graphdot.model.tree_search.MCTSGraphTransformer method)
Series (class in graphdot.minipandas)
(class in graphdot.minipandas.series)
squared_loocv_error() (graphdot.model.gaussian_process.GaussianProcessRegressor method)
(graphdot.model.gaussian_process.gpr.GaussianProcessRegressor method)
SquareExponential (in module graphdot.microkernel)
StartingProbability (class in graphdot.kernel.marginalized.starting_probability)
state (graphdot.microkernel.Product attribute)
sub() (in module graphdot.linalg.low_rank)
Sum (class in graphdot.linalg.low_rank)
T
T (graphdot.linalg.low_rank.LATR attribute)
(graphdot.linalg.low_rank.Sum attribute)
table() (graphdot.util.printer.markdown class method)
table_header() (graphdot.util.printer.markdown class method)
table_start() (graphdot.util.printer.markdown class method)
Tang2019MolecularKernel (class in graphdot.kernel)
(class in graphdot.kernel.molecular)
Template (class in graphdot.codegen)
(class in graphdot.codegen.template)
TensorProduct() (in module graphdot.microkernel)
(in module graphdot.microkernel.tensor_product)
Tent (class in graphdot.graph.adjacency)
(class in graphdot.graph.adjacency.euclidean)
theta (graphdot.kernel.fix.Exponentiation attribute)
(graphdot.kernel.KernelOverMetric attribute)
(graphdot.kernel.MarginalizedGraphKernel attribute)
(graphdot.kernel.Tang2019MolecularKernel attribute)
(graphdot.kernel.fix.Normalization attribute)
(graphdot.kernel.marginalized.MarginalizedGraphKernel attribute)
(graphdot.kernel.marginalized.starting_probability.StartingProbability attribute)
(graphdot.kernel.molecular.Tang2019MolecularKernel attribute)
(graphdot.kernel.rbf.RBFKernel attribute)
(graphdot.metric.KernelInducedDistance attribute)
(graphdot.microkernel.MicroKernel attribute)
(graphdot.model.gaussian_field.RBFOverDistance attribute)
(graphdot.model.gaussian_field.RBFOverFixedDistance attribute)
(graphdot.model.gaussian_field.Weight attribute)
(graphdot.model.gaussian_field.weight.RBFOverDistance attribute)
(graphdot.model.gaussian_field.weight.RBFOverFixedDistance attribute)
(graphdot.model.gaussian_field.weight.Weight attribute)
tic() (graphdot.util.Timer method)
Timer (class in graphdot.util)
to_ini() (in module graphdot.graph.reorder.pbr.config)
to_networkx() (graphdot.Graph method)
(graphdot.graph.Graph method)
to_pandas() (graphdot.minipandas.DataFrame method)
(graphdot.minipandas.dataframe.DataFrame method)
toc() (graphdot.util.Timer method)
todense() (graphdot.linalg.cg.CGSolver method)
(graphdot.linalg.cholesky.CholSolver method)
(graphdot.linalg.low_rank.LATR method)
(graphdot.linalg.low_rank.Sum method)
trace() (graphdot.linalg.low_rank.LATR method)
(graphdot.linalg.low_rank.Sum method)
trait_t (graphdot.experimental.alterantive_mgk.AltMarginalizedGraphKernel attribute)
(graphdot.kernel.MarginalizedGraphKernel attribute)
(graphdot.kernel.marginalized.MarginalizedGraphKernel attribute)
traits() (graphdot.experimental.alterantive_mgk.AltMarginalizedGraphKernel class method)
(graphdot.kernel.MarginalizedGraphKernel class method)
(graphdot.kernel.marginalized.MarginalizedGraphKernel class method)
tree (graphdot.model.tree_search.LookAheadSequenceRewriter attribute)
U
umarray() (in module graphdot.cuda.array)
umempty() (in module graphdot.cuda.array)
umlike() (in module graphdot.cuda.array)
umzeros() (in module graphdot.cuda.array)
unify_datatype() (graphdot.Graph class method)
(graphdot.graph.Graph class method)
V
VarianceMinimizer (class in graphdot.model.active_learning)
(class in graphdot.model.active_learning.variance_minimizer)
VolatileCookie (class in graphdot.util.cookie)
W
Weight (class in graphdot.model.gaussian_field)
(class in graphdot.model.gaussian_field.weight)
X
X (graphdot.model.gaussian_process.base.GaussianProcessRegressorBase attribute)
Y
y (graphdot.model.gaussian_process.base.GaussianProcessRegressorBase attribute)
y_uncertainty (graphdot.model.gaussian_process.GPROutlierDetector attribute)
(graphdot.model.gaussian_process.outlier_detector.GPROutlierDetector attribute)
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