FlowBench
Contents:
FlowBench
Installation
Dataset
Examples
flowbench.supervised
flowbench.unsupervised
flowbench.nlp
License
FlowBench
Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
A
acc (flowbench.supervised.base_model.BaseModel attribute)
(flowbench.supervised.BaseModel attribute)
(flowbench.supervised.mlp.MLPClassifier attribute)
(flowbench.supervised.MLPClassifier attribute)
auroc (flowbench.supervised.base_model.BaseModel attribute)
(flowbench.supervised.BaseModel attribute)
(flowbench.supervised.mlp.MLPClassifier attribute)
(flowbench.supervised.MLPClassifier attribute)
B
BaseBench (class in flowbench.base)
BaseModel (class in flowbench.supervised)
(class in flowbench.supervised.base_model)
bytes_features (flowbench.base.BaseBench attribute)
(flowbench.dataset.FlowDataset attribute)
C
conf_mat (flowbench.supervised.mlp.MLPClassifier attribute)
(flowbench.supervised.MLPClassifier attribute)
configure_optimizers() (flowbench.nlp.lora.SFT method)
(flowbench.nlp.sft.SFT method)
(flowbench.supervised.base_model.BaseModel method)
(flowbench.supervised.BaseModel method)
(flowbench.supervised.GNN method)
(flowbench.supervised.gnn.GNN method)
create_dir() (in module flowbench.utils)
CustomizeNormalizeFeatures (class in flowbench.transforms)
D
delay_features (flowbench.base.BaseBench attribute)
(flowbench.dataset.FlowDataset attribute)
download() (flowbench.dataset.FlowDataset method)
dropout (flowbench.supervised.mlp.MLPClassifier attribute)
(flowbench.supervised.MLPClassifier attribute)
E
early_stopping_callback() (in module flowbench.supervised.utils)
eval_accuracy() (in module flowbench.metrics)
eval_average_precision() (in module flowbench.metrics)
eval_f1() (in module flowbench.metrics)
eval_metrics() (in module flowbench.metrics)
eval_precision() (in module flowbench.metrics)
eval_precision_at_k() (in module flowbench.metrics)
eval_recall() (in module flowbench.metrics)
eval_recall_at_k() (in module flowbench.metrics)
eval_roc_auc() (in module flowbench.metrics)
F
features (flowbench.base.BaseBench attribute)
(flowbench.dataset.FlowDataset attribute)
filter_dataset() (in module flowbench.dataset)
flowbench
module
flowbench.base
module
flowbench.dataset
module
flowbench.losses
module
flowbench.metrics
module
flowbench.nlp
module
flowbench.nlp.base_model
module
flowbench.nlp.lora
module
flowbench.nlp.sft
module
flowbench.supervised
module
flowbench.supervised.base_model
module
flowbench.supervised.gnn
module
flowbench.supervised.mlp
module
flowbench.supervised.utils
module
flowbench.transforms
module
flowbench.unsupervised
module
flowbench.unsupervised.pygod
module
flowbench.unsupervised.pyod
module
flowbench.utils
module
flowbench.version
module
FlowDataset (class in flowbench.dataset)
focal_loss() (in module flowbench.losses)
FocalLoss (class in flowbench.losses)
forward() (flowbench.losses.FocalLoss method)
(flowbench.nlp.lora.SFT method)
(flowbench.nlp.sft.SFT method)
(flowbench.supervised.GNN method)
(flowbench.supervised.gnn.GNN method)
(flowbench.supervised.gnn.PyG_GNN method)
(flowbench.supervised.mlp.MLPClassifier method)
(flowbench.supervised.MLPClassifier method)
G
GNN (class in flowbench.supervised)
(class in flowbench.supervised.gnn)
H
hidden_channels (flowbench.supervised.mlp.MLPClassifier attribute)
(flowbench.supervised.MLPClassifier attribute)
I
in_channels (flowbench.supervised.base_model.BaseModel attribute)
(flowbench.supervised.BaseModel attribute)
(flowbench.supervised.mlp.MLPClassifier attribute)
(flowbench.supervised.MLPClassifier attribute)
K
kickstart_features (flowbench.base.BaseBench attribute)
(flowbench.dataset.FlowDataset attribute)
L
list_models() (in module flowbench.unsupervised)
list_pygod() (in module flowbench.unsupervised.pygod)
list_pyod() (in module flowbench.unsupervised.pyod)
list_workflows() (in module flowbench)
loss_fn (flowbench.supervised.base_model.BaseModel attribute)
(flowbench.supervised.BaseModel attribute)
lr (flowbench.supervised.base_model.BaseModel attribute)
(flowbench.supervised.BaseModel attribute)
(flowbench.supervised.mlp.MLPClassifier attribute)
(flowbench.supervised.MLPClassifier attribute)
M
MergeFlowDataset (class in flowbench.dataset)
MinMaxNormalizeFeatures (class in flowbench.transforms)
mlp (flowbench.supervised.mlp.MLPClassifier attribute)
(flowbench.supervised.MLPClassifier attribute)
MLPClassifier (class in flowbench.supervised)
(class in flowbench.supervised.mlp)
module
flowbench
flowbench.base
flowbench.dataset
flowbench.losses
flowbench.metrics
flowbench.nlp
flowbench.nlp.base_model
flowbench.nlp.lora
flowbench.nlp.sft
flowbench.supervised
flowbench.supervised.base_model
flowbench.supervised.gnn
flowbench.supervised.mlp
flowbench.supervised.utils
flowbench.transforms
flowbench.unsupervised
flowbench.unsupervised.pygod
flowbench.unsupervised.pyod
flowbench.utils
flowbench.version
MyFilter (class in flowbench.transforms)
N
num_edges_per_graph (flowbench.dataset.FlowDataset property)
num_layers (flowbench.supervised.mlp.MLPClassifier attribute)
(flowbench.supervised.MLPClassifier attribute)
num_node_attributes (flowbench.dataset.FlowDataset property)
num_node_labels (flowbench.dataset.FlowDataset property)
num_nodes_per_graph (flowbench.dataset.FlowDataset property)
O
out_channels (flowbench.supervised.base_model.BaseModel attribute)
(flowbench.supervised.BaseModel attribute)
(flowbench.supervised.mlp.MLPClassifier attribute)
(flowbench.supervised.MLPClassifier attribute)
P
parse_adj() (in module flowbench.utils)
process() (flowbench.dataset.FlowDataset method)
(flowbench.dataset.MergeFlowDataset method)
processed_dir (flowbench.dataset.FlowDataset property)
(flowbench.dataset.MergeFlowDataset property)
processed_file_names (flowbench.base.BaseBench property)
(flowbench.dataset.FlowDataset property)
(flowbench.dataset.MergeFlowDataset property)
PyG_GNN (class in flowbench.supervised.gnn)
R
raw_dir (flowbench.dataset.FlowDataset property)
raw_file_names (flowbench.dataset.FlowDataset property)
real_dir (flowbench.dataset.FlowDataset attribute)
relative_path (flowbench.dataset.FlowDataset attribute)
reset_parameters() (flowbench.supervised.base_model.BaseModel method)
(flowbench.supervised.BaseModel method)
S
SFT (class in flowbench.nlp.lora)
(class in flowbench.nlp.sft)
T
test_step() (flowbench.nlp.lora.SFT method)
(flowbench.nlp.sft.SFT method)
(flowbench.supervised.GNN method)
(flowbench.supervised.gnn.GNN method)
(flowbench.supervised.mlp.MLPClassifier method)
(flowbench.supervised.MLPClassifier method)
to_graph_level() (flowbench.dataset.FlowDataset method)
training_step() (flowbench.nlp.lora.SFT method)
(flowbench.nlp.sft.SFT method)
(flowbench.supervised.GNN method)
(flowbench.supervised.gnn.GNN method)
(flowbench.supervised.mlp.MLPClassifier method)
(flowbench.supervised.MLPClassifier method)
ts_features (flowbench.base.BaseBench attribute)
(flowbench.dataset.FlowDataset attribute)
U
url (flowbench.base.BaseBench attribute)
(flowbench.dataset.FlowDataset attribute)
V
validation_step() (flowbench.nlp.lora.SFT method)
(flowbench.nlp.sft.SFT method)
(flowbench.supervised.GNN method)
(flowbench.supervised.gnn.GNN method)
(flowbench.supervised.mlp.MLPClassifier method)
(flowbench.supervised.MLPClassifier method)