easygraph.datasets.dynamic.hospital_lyon module#

class easygraph.datasets.dynamic.hospital_lyon.Hospital_Lyon(raw_dir=None, force_reload=False, verbose=True, transform=None, save_dir='./')[source]#

Bases: EasyGraphDataset

Attributes:

hash: Hash value for the dataset and the setting.
name: Name of the dataset.
raw_dir: Raw file directory contains the input data folder.
raw_path: Directory contains the input data files.
save_dir: Directory to save the processed dataset.
save_name
save_path: Path to save the processed dataset.
url: Get url to download the raw dataset.
verbose: Whether to print information.

Methods

`download`()	Overwrite to realize your own logic of downloading data.
`has_cache`()	Overwrite to realize your own logic of deciding whether there exists a cached dataset.
`load`()	Overwrite to realize your own logic of loading the saved dataset from files.
`process`()	Loads input data from data directory and transfer to target graph for better analysis
`save`()	Overwrite to realize your own logic of saving the processed dataset into files.

preprocess

download()[source]#

Overwrite to realize your own logic of downloading data.

It is recommended to download the to the self.raw_dir folder. Can be ignored if the dataset is already in self.raw_dir.

has_cache()[source]#

Overwrite to realize your own logic of deciding whether there exists a cached dataset.

By default False.

load()[source]#

Overwrite to realize your own logic of loading the saved dataset from files.

It is recommended to use dgl.data.utils.load_graphs to load dgl graph from files and use dgl.data.utils.load_info to load extra information into python dict object.

preprocess(data, max_order=None, is_dynamic=True)[source]#

process()[source]#: Loads input data from data directory and transfer to target graph for better analysis

property save_name#

property url#: Get url to download the raw dataset.