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Update Forecaster Toolbox Usage authored by Dimitris Tsoukalas's avatar Dimitris Tsoukalas
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Forecaster-Toolbox-Usage.md
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......@@ -4,7 +4,7 @@ In this example we want to predict TD Principal of the [Apache Kafka](https://gi
Once the server is running, open your web browser and navigate to the following URL:
http://127.0.0.1:5000/ForecasterToolbox/TDForecasting?horizon=10&project=apache_kafka_measures&regressor=auto&ground_truth=no&test=no
http://127.0.0.1:5000/ForecasterToolbox/TDForecasting?horizon=10&project=apache_kafka&regressor=auto&ground_truth=no&test=no
The response of the submitted command is a JSON object containing the forecasted TD values of the Apache Kafka test project for versions 151 to 160 (10 steps) ahead, using the Ridge regressor, which the back-end selected as the most appropriate model for this occasion. This JSON object is illustrated below:
......@@ -71,7 +71,7 @@ In this example we want to predict Energy Consumption of the [Sbeamer Gapbs](htt
Once the server is running, open your web browser and navigate to the following URL:
http://127.0.0.1:5000/ForecasterToolbox/EnergyForecasting?horizon=5&project=sbeamer_gapbs_energy_measures&regressor=auto&ground_truth=no&test=no
http://127.0.0.1:5000/ForecasterToolbox/EnergyForecasting?horizon=5&project=sbeamer_gapbs&regressor=auto&ground_truth=no&test=no
The response of the submitted command is a JSON object containing the forecasted Energy values of the Sbeamer Gapbs test project for versions 61 to 65 (5 steps) ahead, using the Lasso regressor, which the back-end selected as the most appropriate model for this occasion. This JSON object is illustrated below:
......@@ -118,7 +118,7 @@ In this example we want to predict Security Index of the [Square Retrofit](https
Once the server is running, open your web browser and navigate to the following URL:
http://127.0.0.1:5000/ForecasterToolbox/DependabilityForecasting?horizon=10&project=square_retrofit_security_measures&regressor=auto&ground_truth=no&test=no
http://127.0.0.1:5000/ForecasterToolbox/DependabilityForecasting?horizon=10&project=square_retrofit&regressor=auto&ground_truth=no&test=no
The response of the submitted command is a JSON object containing the forecasted Security Index values of the Square Retrofit test project for versions 101 to 110 (10 steps) ahead, using the Ridge regressor, which the back-end selected as the most appropriate model for this occasion. This JSON object is illustrated below:
......