vak.config.dataset.DatasetConfig

class vak.config.dataset.DatasetConfig(path, splits_path=None, name=None, params={})

Bases: object

Class that represents dataset table in configuration file.

path

Path to the directory that contains the dataset. Equivalent to the root parameter of torchvision datasets.

Type:

pathlib.Path

splits_path

Path to file representing splits. Default is None.

Type:

pathlib.Path, optional

name

Name of dataset. Only required for built-in datasets from the datasets module. Default is None.

Type:

str, optional

params

Parameters for dataset class, passed in as keyword arguments. E.g., window_size=2000. Default is None.

Type:

dict, optional

__init__(path, splits_path=None, name=None, params={}) → None

Method generated by attrs for class DatasetConfig.

Methods

__init__(path[, splits_path, name, params])	Method generated by attrs for class DatasetConfig.
asdict()	Convert this DatasetConfig instance to a dict that can be passed into functions that take a dataset_config argument, like vak.train() and vak.predict().
from_config_dict(config_dict)

Attributes

path
splits_path
name
params

asdict()

Convert this DatasetConfig instance to a dict that can be passed into functions that take a dataset_config argument, like vak.train() and vak.predict().