lore_sa.neighgen.RandomGenerator
- class lore_sa.neighgen.RandomGenerator(bbox=None, dataset=None, encoder=None, ocr=0.1)[source]
Random Generator creates neighbor instances by generating random values starting from the instance to explain
Methods
__init__([bbox, dataset, encoder, ocr])balance_neigh(x, Z, num_samples)check_generated([filter_function, check_fuction])It contains the logic to check the requirements for generated data
generate(x, num_instances, descriptor)random generation of new instances.
generate_synthetic_instance([from_z, mutpb])- abstract check_generated(filter_function=None, check_fuction=None)
It contains the logic to check the requirements for generated data
- generate(x, num_instances, descriptor)[source]
random generation of new instances. The starting instance x is only used to detect the value type of each feature, in order to generate new values only for numeric features.
- Parameters
x[dict] – the starting instance from the real dataset
num_instances[int] – the number of instances to generate
descriptor[dict] – data descriptor as generated from a Dataset object. The list (or range) associated to each key is used to randomly choice an element within the list.
- Return [TabularDataset]
a tabular dataset instance with the new data generated