dacapo.experiments.datasplits.datasets.dataset_config
Module Contents
Classes
A class used to define configuration for datasets. This provides the |
- class dacapo.experiments.datasplits.datasets.dataset_config.DatasetConfig
A class used to define configuration for datasets. This provides the framework to create a Dataset instance.
- name
str (eg: “sample_dataset”). A unique identifier to name the dataset. It aids in easy identification and reusability of this dataset. Advised to keep it short and refrain from using special characters.
- weight
int (default=1). A numeric value that indicates how frequently this dataset should be sampled in comparison to others. Higher the weight, more frequently it gets sampled.
- verify()
Checks and validates the dataset configuration. The specific rules for validation need to be defined by the user.
- name: str
- weight: int
- verify() Tuple[bool, str]
Method to verify the dataset configuration.
Since there is no specific validation logic defined for this DataSet, this method will always return True as default reaction and a message stating the lack of validation.
- Returns:
A tuple of boolean value indicating the check (True or False) and message specifying result of validation.
- Return type:
tuple