Moved to https://github.com/eu-nebulous; NebulOuS component implementing method for trend-based data prediction.
59968e9fc4
Allow multiple publishers for different applications Included all necessary python application packages in setup.py Improved diagnostics and documentation in the R forecaster Changed installation method for the application to align with the requirements of Opendev and Zuul Refactoring of exn python connector code Improvements to the forecaster state variables, main prediction logic and the handling of influxdb connections Improvement in the prediction file handling of empty data Configuration file improvements Change-Id: Ic8aaa0728a4b936cd4c6e1ed5a0e01ba8f0fb002 |
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charts/nebulous-exponential-smoothing-predictor | ||
exponential-smoothing-predictor | ||
java-spring-boot-demo | ||
zuul.d | ||
.gitignore | ||
.gitreview | ||
.hadolint.yaml | ||
.yamllint | ||
LICENSE | ||
noxfile.py |