ivis
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Python Package
R Package
Using ivis
Unsupervised Dimensionality Reduction
Supervised Dimensionality Reduction
Semi-supervised Dimensionality Reduction
Hyperparameter Selection
Examples
Ivis Notebooks
Applications
Visualising Single Cell Experiments
Dimensionality Reduction
Metric Learning
Out-of-memory Datasets
Benchmarks
Speed of Execution
Distance Preservation
API Reference
Ivis
Neighbour Retrieval
Indexable Datasets
Losses
Callbacks
ivis
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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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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R
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S
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T
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U
_
__getitem__() (ivis.data.neighbour_retrieval.AnnoyKnnMatrix method)
(ivis.data.neighbour_retrieval.LabeledNeighbourMap method)
__getstate__() (ivis.data.neighbour_retrieval.AnnoyKnnMatrix method)
__init__() (ivis.data.neighbour_retrieval.AnnoyKnnMatrix method)
(ivis.data.neighbour_retrieval.LabeledNeighbourMap method)
(ivis.data.sequence.FlattenedImageDataset method)
(ivis.data.sequence.ImageDataset method)
__len__() (ivis.data.neighbour_retrieval.AnnoyKnnMatrix method)
(ivis.data.neighbour_retrieval.LabeledNeighbourMap method)
A
AnnoyKnnMatrix (class in ivis.data.neighbour_retrieval)
B
build() (ivis.data.neighbour_retrieval.AnnoyKnnMatrix class method)
build_annoy_index() (in module ivis.data.neighbour_retrieval.knn)
C
ChebyshevPnLoss (class in ivis.nn.losses)
ChebyshevTripletLoss (class in ivis.nn.losses)
CosinePnLoss (class in ivis.nn.losses)
CosineTripletLoss (class in ivis.nn.losses)
D
delete_index() (ivis.data.neighbour_retrieval.AnnoyKnnMatrix method)
E
EmbeddingsImage (class in ivis.nn.callbacks)
EmbeddingsLogging (class in ivis.nn.callbacks)
EuclideanPnLoss (class in ivis.nn.losses)
EuclideanSoftmaxRatioLoss (class in ivis.nn.losses)
EuclideanSoftmaxRatioPnLoss (class in ivis.nn.losses)
EuclideanTripletLoss (class in ivis.nn.losses)
F
fit() (ivis.Ivis method)
fit_transform() (ivis.Ivis method)
FlattenedImageDataset (class in ivis.data.sequence)
G
get_batch() (ivis.data.neighbour_retrieval.AnnoyKnnMatrix method)
(ivis.data.neighbour_retrieval.NeighbourMatrix method)
(ivis.data.sequence.ImageDataset method)
(ivis.data.sequence.IndexableDataset method)
get_neighbour_indices() (ivis.data.neighbour_retrieval.AnnoyKnnMatrix method)
I
ImageDataset (class in ivis.data.sequence)
IndexableDataset (class in ivis.data.sequence)
Ivis (class in ivis)
ivis.nn.callbacks
module
ivis.nn.losses
module
K
k (ivis.data.neighbour_retrieval.AnnoyKnnMatrix attribute)
(ivis.data.neighbour_retrieval.NeighbourMatrix property)
L
LabeledNeighbourMap (class in ivis.data.neighbour_retrieval)
load() (ivis.data.neighbour_retrieval.AnnoyKnnMatrix class method)
load_model() (ivis.Ivis method)
M
ManhattanPnLoss (class in ivis.nn.losses)
ManhattanTripletLoss (class in ivis.nn.losses)
ModelCheckpoint (class in ivis.nn.callbacks)
module
ivis.nn.callbacks
ivis.nn.losses
N
NeighbourMatrix (class in ivis.data.neighbour_retrieval)
R
read_image() (ivis.data.sequence.ImageDataset method)
register_loss() (in module ivis.nn.losses)
resize_image() (ivis.data.sequence.ImageDataset method)
S
save() (ivis.data.neighbour_retrieval.AnnoyKnnMatrix method)
save_model() (ivis.Ivis method)
score_samples() (ivis.Ivis method)
semi_supervised_loss() (in module ivis.nn.losses)
shape (ivis.data.sequence.ImageDataset attribute)
shape() (ivis.data.sequence.IndexableDataset method)
T
TensorBoardEmbeddingsImage (class in ivis.nn.callbacks)
transform() (ivis.Ivis method)
triplet_loss() (in module ivis.nn.losses)
U
unload() (ivis.data.neighbour_retrieval.AnnoyKnnMatrix method)