1. 17 Mar, 2022 2 commits
  2. 13 Dec, 2021 1 commit
    • Andreas Tsagkaropoulos's avatar
      Improved parsing of the core predictor input · c0bea494
      Andreas Tsagkaropoulos authored
      Changed the broker address (in the windows configuration) to use a more generic configuration option
      Moved some variables which reflect the global state of execution (more than that of a particular `Listener`) to the `State` class
      Refactored the execution of the prediction process to occur on a background thread
      Refactored the handling of `metrics_to_predict` and `start_forecasting.exponentialsmoothing` events
      Introduced support for `stop_forecasting.exponentialsmoothing`events
      c0bea494
  3. 10 Dec, 2021 1 commit
    • Andreas Tsagkaropoulos's avatar
      Major refactoring of the algorithm to find the last timestamp of the dataset · df300534
      Andreas Tsagkaropoulos authored
      Added call to load configuration from configuration file
      Fixed the calculation of the last timestamp in the dataset
      Made correction to send the upper confidence interval value instead of lower confidence interval value (twice) in prediction Event
      Made correction to send only integer values in prediction event 'predictionTime' timestamps
      Added username and password for broker as configuration options in one of the configuration files
      Improved README.md file
      df300534
  4. 08 Dec, 2021 1 commit
  5. 06 Dec, 2021 1 commit