class pumpp.sampler.SequentialSampler(duration, *ops, **kwargs)[source]

Sample patches in sequential (temporal) order

See also


duration : int > 0

the duration (in frames) of each sample

stride : int > 0

The number of frames to advance between samples. By default, matches duration so there is no overlap.

ops : array of pumpp.feature.FeatureExtractor or pumpp.task.BaseTaskTransformer

The operators to include when sampling data.

random_state : None, int, or np.random.RandomState

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, the random number generator is the RandomState instance

__init__(duration, *ops, **kwargs)[source]

Initialize self. See help(type(self)) for accurate signature.


__init__(duration, *ops, **kwargs) Initialize self.
add(operator) Add an operator to the Slicer
crop(data) Crop a data dictionary down to its common time
data_duration(data) Compute the valid data duration of a dict
indices(data) Generate patch start indices
sample(data, interval) Sample a patch from the data object