Library design

The tspy library is structured in these main modules

• tspy: the highest level module

• The rest-data is provided by functions directly under tspy, e.g. time_series(). The in-motion data is provided by functions inside the module under tspy, e.g. tspy.stream_time_series.queue().

function	description
tspy.observation()	create one observation
tspy.observations()	create one observation collection
tspy.record()	create one record
tspy.time_series()	create one time-series
tspy.multi_time_series()	create one multi-time-series
tspy.builder()	create a time-series builder

• tspy.functions subpackage provides APIs for performing different time-series related operations, e.g. reduce, transforms, segment.

• tspy.ml: provides Machine-Learning related APIs (e.g. clustering-related APIs, data-processing related APIs, itemset-mining related APIs, sequence-mining related APIs) that can operate on tspy’s time-series data

• tspy.forecasters: provides APIs for building forecasting model (e.g. AnomalyDetection) that can operate on tspy’s time-series data