| ... | ... | @@ -4,7 +4,7 @@ In this example we want to predict TD Principal of the [Apache Kafka](https://gi |
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Once the server is running, open your web browser and navigate to the following URL:
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http://127.0.0.1:5000/ForecasterToolbox/TDForecasting?horizon=10&project=apache_kafka_measures®ressor=auto&ground_truth=yes&test=no
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http://127.0.0.1:5000/ForecasterToolbox/TDForecasting?horizon=10&project=apache_kafka_measures®ressor=auto&ground_truth=no&test=no
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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:
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| ... | ... | @@ -64,3 +64,50 @@ The response of the submitted command is a JSON object containing the forecasted |
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"status": 200
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}
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```
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## Energy Forecasting Example
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In this example we want to predict Energy Consumption of the [Sbeamer Gapbs](https://github.com/sbeamer/gapbs) test project for 5 steps ahead. Sbeamer Gapbs dataset contains 60 versions, so we expect the response to contain predicted TD values for versions 61 to 65. Again, we set the *horizon* parameter to *5* and the *regressor* parameter to *auto*, in order to allow the Energy Forecaster to choose the best model based on training error minimization.
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Once the server is running, open your web browser and navigate to the following URL:
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http://127.0.0.1:5000/ForecasterToolbox/EnergyForecasting?horizon=5&project=sbeamer_gapbs_energy_measures®ressor=auto&ground_truth=no&test=no
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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:
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```json
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{
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"message": "The request was fulfilled.",
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"results": {
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"forecasts": [{
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"value": 51.089354864448154,
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"version": 61
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},
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{
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"value": 50.32746962241154,
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"version": 62
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},
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{
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"value": 51.481911189167526,
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"version": 63
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},
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{
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"value": 51.3345537282448,
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"version": 64
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},
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{
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"value": 51.490599251851116,
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"version": 65
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}
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],
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"parameters": {
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"ground_truth": "no",
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"horizon": 5,
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"project": "sbeamer_gapbs_energy_measures",
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"regressor": "lasso",
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"test": "no"
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}
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},
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"status": 200
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}
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``` |
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\ No newline at end of file |
