ertk.dataset.DataLoadConfig
- class ertk.dataset.DataLoadConfig(datasets: ~typing.Dict[str, ~ertk.dataset.dataset.DatasetConfig] = '???', features: str | None = None, label: str | None = None, map_groups: ~typing.Dict[str, ~ertk.dataset.dataset.MapGroups] = <factory>, remove_groups: ~typing.Dict[str, ~ertk.dataset.dataset.RemoveGroups] = <factory>, select: ~ertk.dataset.dataset.DataSelector | None = None, clip_seq: int | None = None, pad_seq: int | None = None)
Bases:
ERTKConfigDefines a configuration for loading one or more datasets.
- __init__(datasets: ~typing.Dict[str, ~ertk.dataset.dataset.DatasetConfig] = '???', features: str | None = None, label: str | None = None, map_groups: ~typing.Dict[str, ~ertk.dataset.dataset.MapGroups] = <factory>, remove_groups: ~typing.Dict[str, ~ertk.dataset.dataset.RemoveGroups] = <factory>, select: ~ertk.dataset.dataset.DataSelector | None = None, clip_seq: int | None = None, pad_seq: int | None = None) None
Methods
__init__([datasets, features, label, ...])Inherited Methods
from_config(config)Create config object from any compatible config.
from_file(path[, override])Create config from YAML file and optionlly override some values.
merge_with_args([args])Merge config with command-line arguments.
to_dictconfig()Convert config to DictConfig.
to_file(path)Write config to YAML file.
to_string()Generate YAML string representation of config.
Attributes
clip_seqdatasetsfeatureslabelpad_seqselectmap_groupsremove_groups