cardinal.random¶
Classes¶
- class cardinal.random.RandomSampler(batch_size: int, random_state: Optional[Union[RandomState, int]] = None)[source]¶
Randomly select samples
- Parameters
batch_size – Number of samples to select.
random_state – The seed of the pseudo random number generator to use when shuffling the data. If int, random_state is the seed used by the random number generator; If RandomState instance, random_state is the random number generator; If None (defdault), the random number generator is the RandomState instance used by np.random.
- random_state¶
The random state used by the sampler.
- fit(X: Optional[array] = None, y: Optional[array] = None) RandomSampler[source]¶
Sets the random state
- Parameters
X – Labeled samples of shape (n_samples, n_features).
y – Labels of shape (n_samples).
- Returns
The object itself