EpiLearn
Installation
Installation
Usage
Quickstart for EpiLearn
Pipeline for Epidemic Modeling
Simulation
Utilities
Model&Dataset Customization
Package API
Dataset
Preprocessed Datasets
Models
Spatial Models
Temporal Models
Spatial-Temporal Models
Tasks
Utils
Utility_Functions
Metrics
Simulation
Transformation
Utils
Visualization
EpiLearn
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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K
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L
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M
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N
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S
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T
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U
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V
_
__init__() (epilearn.utils.simulation.Gravity_model method)
A
a (epilearn.models.Temporal.SIR.SEIR attribute)
accuracy() (in module epilearn.utils.utils)
add_time_embedding (class in epilearn.utils.transforms)
ATMGNN (class in epilearn.models.SpatialTemporal.ATMGNN)
B
beta (epilearn.models.Temporal.SIR.SEIR attribute)
(epilearn.models.Temporal.SIR.SIR attribute)
(epilearn.models.Temporal.SIR.SIS attribute)
C
calculate_dtw_matrix (class in epilearn.utils.transforms)
CNNRNN_Res (class in epilearn.models.SpatialTemporal.CNNRNN_Res)
Compose (class in epilearn.utils.transforms)
convert_to_frequency (class in epilearn.utils.transforms)
cross_entropy_loss() (in module epilearn.utils.metrics)
D
decomposition (epilearn.models.Temporal.Dlinear.DlinearModel attribute)
Degree_Matrix() (in module epilearn.utils.utils)
diff() (in module epilearn.utils.utils)
DlinearModel (class in epilearn.models.Temporal.Dlinear)
E
edge_to_adj() (in module epilearn.utils.utils)
epi_cola_loss() (in module epilearn.utils.metrics)
F
fit() (epilearn.models.Temporal.ARIMA.VARMAXModel method)
forward() (epilearn.models.Spatial.GAT.GAT method)
(epilearn.models.Spatial.GCN.GCN method)
(epilearn.models.Spatial.GIN.GIN method)
(epilearn.models.Spatial.SAGE.SAGE method)
(epilearn.models.SpatialTemporal.ATMGNN.ATMGNN method)
(epilearn.models.SpatialTemporal.ATMGNN.MPNN_LSTM method)
(epilearn.models.SpatialTemporal.CNNRNN_Res.CNNRNN_Res method)
(epilearn.models.SpatialTemporal.STGCN.STGCN method)
(epilearn.models.Temporal.Dlinear.DlinearModel method)
(epilearn.models.Temporal.GRU.GRUModel method)
(epilearn.models.Temporal.LSTM.LSTMModel method)
(epilearn.models.Temporal.SIR.SEIR method)
(epilearn.models.Temporal.SIR.SIR method)
(epilearn.models.Temporal.SIR.SIS method)
(epilearn.utils.transforms.add_time_embedding method)
(epilearn.utils.transforms.calculate_dtw_matrix method)
(epilearn.utils.transforms.convert_to_frequency method)
(epilearn.utils.transforms.learnable_time_embedding method)
(epilearn.utils.transforms.moving_avg method)
(epilearn.utils.transforms.normalize_adj method)
(epilearn.utils.transforms.normalize_feat method)
(epilearn.utils.transforms.seasonality_and_trend_decompose method)
(epilearn.utils.transforms.series_decomp method)
(epilearn.utils.transforms.series_decomp_multi method)
from_csv() (epilearn.data.dataset.UniversalDataset class method)
G
gamma (epilearn.models.Temporal.SIR.SEIR attribute)
(epilearn.models.Temporal.SIR.SIR attribute)
(epilearn.models.Temporal.SIR.SIS attribute)
GAT (class in epilearn.models.Spatial.GAT)
GCN (class in epilearn.models.Spatial.GCN)
generate_dataset() (epilearn.data.dataset.UniversalDataset method)
get_ACC() (in module epilearn.utils.metrics)
get_graph_from_features() (in module epilearn.utils.simulation)
get_influence() (epilearn.utils.simulation.Gravity_model method)
get_loss() (in module epilearn.utils.metrics)
get_MAE() (in module epilearn.utils.metrics)
get_mobility_graph() (epilearn.utils.simulation.Gravity_model method)
get_random_graph() (in module epilearn.utils.simulation)
get_RMSE() (in module epilearn.utils.metrics)
GIN (class in epilearn.models.Spatial.GIN)
Gravity_model (class in epilearn.utils.simulation)
GRUModel (class in epilearn.models.Temporal.GRU)
K
kronecker() (in module epilearn.utils.utils)
L
learnable_time_embedding (class in epilearn.utils.transforms)
Linear_Transform (epilearn.models.Temporal.Dlinear.DlinearModel attribute)
load_from_csv() (epilearn.data.dataset.UniversalDataset class method)
LSTMModel (class in epilearn.models.Temporal.LSTM)
M
moving_avg (class in epilearn.utils.transforms)
MPNN_LSTM (class in epilearn.models.SpatialTemporal.ATMGNN)
mu (epilearn.models.Temporal.SIR.SEIR attribute)
N
normalize() (in module epilearn.utils.utils)
normalize_adj (class in epilearn.utils.transforms)
normalize_adj() (in module epilearn.utils.utils)
normalize_feat (class in epilearn.utils.transforms)
S
SAGE (class in epilearn.models.Spatial.SAGE)
seasonality_and_trend_decompose (class in epilearn.utils.transforms)
SEIR (class in epilearn.models.Temporal.SIR)
series_decomp (class in epilearn.utils.transforms)
series_decomp_multi (class in epilearn.utils.transforms)
SIR (class in epilearn.models.Temporal.SIR)
SIS (class in epilearn.models.Temporal.SIR)
stan_loss() (in module epilearn.utils.metrics)
Static_full() (in module epilearn.utils.utils)
STGCN (class in epilearn.models.SpatialTemporal.STGCN)
T
Time_geo (class in epilearn.utils.simulation)
trace_simulate() (epilearn.utils.simulation.Time_geo method)
U
UniversalDataset (class in epilearn.data.dataset)
V
VARMAXModel (class in epilearn.models.Temporal.ARIMA)