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>⚠️ **DISCONTINUATION OF PROJECT** - > *This project will no longer be maintained by Intel. > Intel has ceased development and contributions including, but not limited to, maintenance, bug fixes, new releases, or updates, to this project.* > **Intel no longer accepts patches to this project.** > *If you have an ongoing need to use this project, are interested in independently developing it, or would like to maintain patches for the open source software community, please create your own fork of this project.* /* MIT License Copyright 2018, Intel Corporation Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */ ################################################################################# Author: Justin Gottschlich, Intel Labs (justin.gottschlich@intel.com) What is DATSA? DATSA (Data Aggregator for Time Series Anomalies) is a tool to help anomaly detection engineers and scientists quickly generate synthetic time series data for the anomaly types they are interested in. Please see the DATSA tutorial for a detailed explanation of how to use DATSA: /docs/DATSA_tutorial.v1.0.pdf The below explanation is intended for advanced C++ programmers or anomaly detection experts who can dive in immediately without much background. ################################################################################# The DATSA code is distributed in the following manner: Root directory (this directory) -> contains directories to use DATSA /src -> contains the actual DATSA source needed to generate data /examples -> contains many examples using DATSA ################################################################################# To build DATSA using some of the examples: cd examples <edit main.cpp to include / exclude examples> <add new example files to the Makefile> make clean; make ./datsa ################################################################################# To clean the DATSA project and rebuild: cd examples make clean make ################################################################################# To use DATSA to generate your own data: Pull all the source code from the /src directory. Include the following files in your project: #include "src/data_generator.h" #include "src/function_variable.h" #include "src/event_data.h" For more detailed instructions please see the DATSA tutorial. #################################################################################