static async void Main()
{
// New BigML client in production mode with username and API key
Console.Write("user: "******"key: "); var ApiKey = Console.ReadLine();
var client = new Client(User, ApiKey);
var parameters = new Prediction.Arguments();
parameters.Add("ensemble", "ensemble/54ad6d0558a27e2ddf000XXX"); //put your Id here
parameters.InputData.Add("000000", 7.9);
parameters.InputData.Add("000001", 3.8);
parameters.InputData.Add("000002", 6.4);
parameters.InputData.Add("000003", 2);
Prediction ensemblePrediction = await client.CreatePrediction(parameters);
Console.WriteLine(ensemblePrediction.GetPredictionOutcome<string>()); //output is an string for categorical models
}
static async void Main()
{
// New BigML client in production mode with username and API key
Console.Write("user: "******"key: "); var ApiKey = Console.ReadLine();
var client = new Client(User, ApiKey);
var parameters = new Prediction.Arguments();
parameters.Add("ensemble", "ensemble/54ad6d0558a27e2ddf000XXX"); //put your Id here
parameters.InputData.Add("000000", 7.9);
parameters.InputData.Add("000001", 3.8);
parameters.InputData.Add("000002", 6.4);
parameters.InputData.Add("000003", 2);
Prediction ensemblePrediction = await client.CreatePrediction(parameters);
Console.WriteLine(ensemblePrediction.GetPredictionOutcome <string>()); //output is an string for categorical models
}