def CreateSimilarPatternsResponse(array, start_time, duration, seen_events,
sampling_freq):
"""Searches similar patterns in an array of data.
Args:
array: Numpy array with shape (n_channels, n_data).
start_time: seconds to start the window.
duration: duration of the window.
seen_events: Array of TimeSpan protos, representing previously seen events.
The algorithm will avoid results that are already seen.
sampling_freq: Sampling frequency used in the data, in hz.
Returns:
SimilarPatternsResponse with the results found.
"""
response = similarity_pb2.SimilarPatternsResponse()
similar_patterns = SearchSimilarPatterns(array,
start_time,
duration,
seen_events,
sampling_freq=sampling_freq)
response.similar_patterns.extend(similar_patterns)
return response
def CreateSimilarPatternsResponse(array, start_time, duration, sampling_freq):
"""Searches similar patterns in an array of data.
Args:
array: Numpy array with shape (n_channels, n_data).
start_time: seconds to start the window.
duration: duration of the window.
sampling_freq: Sampling frequency used in the data, in hz.
Returns:
SimilarPatternsResponse with the results found.
"""
response = similarity_pb2.SimilarPatternsResponse()
similar_patterns = SearchSimilarPatterns(
array,
start_time,
duration,
sampling_freq=sampling_freq)
response.similar_patterns.extend(similar_patterns)
return response