RINDTI
master
Notes
Installation
Conda installation
Manual installation
Testing
Quick start guide
Downloading the dataset
Running the Snakemake pipeline
Running the training
Snakemake workflows
Introduction
Confuguration
File naming
File structure
DTI dataset creation
Protein dataset creation
Data
TwoGraphData
Datasets
DataModules
Package Reference
rindti.models
Base Model
DTI models
Baseline models
rindti.layers
Base layer
Node layers
Pooling layers
Other layers
rindti.data
rindti.losses
rindti.utils
RINDTI
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Index
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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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F
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G
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I
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L
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M
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N
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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
A
add_arg_prefix() (in module rindti.utils)
assess_dataset() (BaseBaseline method)
B
BaseBaseline (class in rindti.models.dti.baseline)
BaseLayer (class in rindti.layers.base_layer)
BaseModel (class in rindti.models.base_model)
C
ChebConvNet (class in rindti.layers.graphconv)
ClassificationModel (class in rindti.models.dti)
configure_optimizers() (BaseModel method)
corrupt_features() (in module rindti.data)
D
DataCorruptor (class in rindti.data)
DiffPoolNet (class in rindti.layers.graphpool)
DTIDataModule (class in rindti.data)
DTIDataset (class in rindti.data)
F
FilmConvNet (class in rindti.layers.graphconv)
fit() (BaseBaseline method)
(Max method)
(ProtDrugMax method)
forward() (BaseLayer method)
(ChebConvNet method)
(ClassificationModel method)
(DiffPoolNet method)
(FilmConvNet method)
(GatConvNet method)
(GeneralisedLiftedStructureLoss method)
(GINConvNet method)
(GMTNet method)
(MeanPool method)
(MLP method)
(PNAConvNet method)
(TransformerNet method)
G
GatConvNet (class in rindti.layers.graphconv)
GeneralisedLiftedStructureLoss (class in rindti.losses)
get_git_hash() (in module rindti.utils)
GINConvNet (class in rindti.layers.graphconv)
GMTNet (class in rindti.layers.graphpool)
I
index() (PreTrainDataset method)
IterDict (class in rindti.utils)
L
log_all() (BaseModel method)
log_histograms() (BaseModel method)
M
mask_features() (in module rindti.data)
Max (class in rindti.models.dti.baseline)
MeanPool (class in rindti.layers.graphpool)
minmax_normalise() (in module rindti.utils)
MLP (class in rindti.layers.other)
module
rindti.data
rindti.layers.graphconv
rindti.layers.graphpool
rindti.layers.other
rindti.losses
rindti.models.dti
rindti.models.dti.baseline
rindti.utils
N
n_edges() (TwoGraphData method)
n_nodes() (TwoGraphData method)
P
plot_loss_count_dist() (in module rindti.utils)
PNAConvNet (class in rindti.layers.graphconv)
predict() (BaseBaseline method)
(Max method)
predict_pair() (BaseBaseline method)
(Max method)
(ProtDrugMax method)
PreTrainDataModule (class in rindti.data)
PreTrainDataset (class in rindti.data)
process() (DTIDataset method)
(PreTrainDataset method)
processed_file_names (DTIDataset property)
(PreTrainDataset property)
ProtDrugMax (class in rindti.models.dti.baseline)
R
read_config() (in module rindti.utils)
recursive_apply() (in module rindti.utils)
RegressionModel (class in rindti.models.dti)
remove_arg_prefix() (in module rindti.utils)
rindti.data
module
rindti.layers.graphconv
module
rindti.layers.graphpool
module
rindti.layers.other
module
rindti.losses
module
rindti.models.dti
module
rindti.models.dti.baseline
module
rindti.utils
module
S
setup() (DTIDataModule method)
(PreTrainDataModule method)
SizeFilter (class in rindti.data)
SoftNearestNeighborLoss (class in rindti.losses)
split_random() (in module rindti.utils)
T
test_epoch_end() (BaseModel method)
test_metrics() (BaseBaseline method)
test_step() (BaseModel method)
to_prob() (in module rindti.utils)
training_epoch_end() (BaseModel method)
training_step() (BaseModel method)
TransformerNet (class in rindti.layers.graphconv)
TwoGraphData (class in rindti.data)
U
update_config() (DTIDataModule method)
(PreTrainDataModule method)
V
validation_epoch_end() (BaseModel method)
validation_step() (BaseModel method)
W
write_config() (in module rindti.utils)