class pumpp.task.VectorTransformer(name, namespace, dimension, dtype=<Mock name='mock.float32' id='139933779530304'>)[source]

Vector regression transformer.

name : str

The name of this transformer

namespace : str

The target namespace of this transformer

dimension : int > 0

The dimension of the vector data

dtype : np.dtype

The desired data type of the output

__init__(name, namespace, dimension, dtype=<Mock name='mock.float32' id='139933779530304'>)[source]

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


__init__(name, namespace, dimension[, dtype]) Initialize self.
decode_events(encoded[, transition, …]) Decode labeled events into (time, value) pairs
decode_intervals(encoded[, duration, multi, …]) Decode labeled intervals into (start, end, value) triples
empty(duration) Empty vector annotations.
encode_events(duration, events, values[, dtype]) Encode labeled events as a time-series matrix.
encode_intervals(duration, intervals, values) Encode labeled intervals as a time-series matrix.
inverse(vector[, duration]) Inverse vector transformer
merge(data) Merge an array of output dictionaries into a single dictionary with properly scoped names.
register(field, shape, dtype) Register a field as a tensor with specified shape and type.
scope(key) Apply the name scope to a key
transform(jam[, query]) Transform jam object to make data for this task
transform_annotation(ann, duration) Apply the vector transformation.