| ... | ... | @@ -19,4 +19,4 @@ The three web services allow the individual and remote invocation of the forecas |
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| ground_truth | If the model will return also ground truth values or not. | No | One of the following string values: [‘yes’, ‘no’].<br>Default value is ‘no. |
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| test | If the model will produce Train-Test or unseen forecasts. | No | One of the following string values: [‘yes’, ‘no’].<br>Default value is ‘no’. If set to ‘no’, then the service uses the whole data to train a regressor and returns forecasts on unseen data. A value of ‘yes’ should be used only for model testing and not actual deployment into production. |
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The output of the three individual web services provided by the Forecasting Toolbox, namely TD Forecaster, Energy Forecaster and Dependability Forecaster is a JSON file containing the predicted values for a particular quality attribute of the selected application (see [Usage](usage)). This JSON actually contains i) a status code of the response, ii) a N-size array containing the forecasts, where N is equal to the ‘horizon’ parameter, iii) a recap on the given parameter values, and iv) a message informing the user if the request was fulfilled successfully or not. |
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The output of the three individual web services provided by the Forecasting Toolbox, namely TD Forecaster, Energy Forecaster and Dependability Forecaster is a JSON file containing the predicted values for a particular quality attribute of the selected application (see [Usage](Forecaster Toolbox Usage)). This JSON actually contains i) a status code of the response, ii) a N-size array containing the forecasts, where N is equal to the ‘horizon’ parameter, iii) a recap on the given parameter values, and iv) a message informing the user if the request was fulfilled successfully or not. |
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