/// <summary>
/// Predicts numeric value for the specified model.
/// </summary>
/// <param name="model">The model.</param>
/// <param name="dataForPrediction">The data for prediction.</param>
/// <param name="proxy">The proxy.</param>
/// <returns>
/// Numeric value result.
/// </returns>
protected override List <double> Predict(MLModelConfig model,
IList <Dictionary <string, object> > dataForPrediction, IMLServiceProxy proxy)
{
List <double> predictionResults = proxy.Regress(model.ModelInstanceUId, dataForPrediction);
return(predictionResults);
}
/// <summary>
/// Predicts using the specified proxy.
/// </summary>
/// <param name="proxy">The proxy.</param>
/// <param name="model">The model.</param>
/// <param name="data">The input data.</param>
/// <returns>
/// Predicted result.
/// </returns>
protected override double Predict(IMLServiceProxy proxy, MLModelConfig model,
Dictionary <string, object> data)
{
var wrappedData = new List <Dictionary <string, object> > {
data
};
return(proxy.Regress(model.ModelInstanceUId, wrappedData).FirstOrDefault());
}
/// <summary>
/// Predicts results for the given batch of records.
/// </summary>
/// <param name="model">The model.</param>
/// <param name="dataForPrediction"></param>
/// <param name="proxy">ML service proxy.</param>
/// <returns>
/// Prediction result.
/// </returns>
/// <exception cref="System.NotImplementedException"></exception>
protected override List <double> Predict(MLModelConfig model, IList <Dictionary <string, object> > dataList,
IMLServiceProxy proxy)
{
return(proxy.Regress(model.ModelInstanceUId, dataList));
}