intervals to mask¶

path: mlstars.custom.timeseries_preprocessing.intervals_to_mask

description: this primitive creates boolean mask from given intervals.

argument	type	description
parameters
`index`	`numpy.ndarray`	array containing the index values
`intervals`	`list` or `numpy.ndarray`	list or array of intervals, consisting of start-index and end-index for each interval
output
`mask`	`numpy.ndarray`	array of boolean values, with one boolean value for each index value (True if the index value is contained in a given interval)

In [1]: import numpy as np

In [2]: from mlstars import load_primitive

In [3]: primitive = load_primitive('mlstars.custom.timeseries_preprocessing.intervals_to_mask')

In [4]: index = np.array(range(10))

In [5]: intervals = [(1, 3), (7, 7)]

In [6]: primitive.produce(index=index, intervals=intervals)
Out[6]: 
array([False,  True,  True,  True, False, False, False,  True, False,
       False])

time segments aggregate rolling window sequence