/// <summary>
/// Scores 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 <ScoringOutput> predictionResults = proxy.Score(model, dataForPrediction, false);
List <double> scores = predictionResults.Select(output => output.Score).ToList();
return(scores);
}
/// <summary>
/// Predicts results for the given batch of records.
/// </summary>
/// <param name="model">The model.</param>
/// <param name="dataList">Batch of records.</param>
/// <param name="proxy">ML service proxy.</param>
/// <returns>Prediction result.</returns>
protected override List <ScoringOutput> Predict(MLModelConfig model,
IList <Dictionary <string, object> > dataList, IMLServiceProxy proxy)
{
return(proxy.Score(model, dataList, true));
}
/// <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 ScoringOutput Predict(IMLServiceProxy proxy, MLModelConfig model,
Dictionary <string, object> data)
{
return(proxy.Score(model, data, true));
}