moocore.

get_dataset

moocore.get_dataset(filename, /, **kwargs)

Return dataset provided by moocore as a NumPy array.

Parameters:

• filename (str) – Name of the dataset.

• kwargs (Any) – Additional arguments are passed to get_dataset_path().

Returns:

ndarray – An array containing a representation of the data in the file. The first \(n-1\) columns contain the numerical data for each of the objectives. The last column contains an identifier for which set the data is relevant to.

See also

read_datasets

Function used to read the dataset.

Gallery examples

Empirical Attainment Function

Empirical Attainment Function

Comparing methods for approximating the hypervolume

Comparing methods for approximating the hypervolume

Computing Multi-Objective Quality Metrics

Computing Multi-Objective Quality Metrics