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);
// change the id to your model, ensemble or logisticregression
string modelId = "ensemble/54ad6d0558a27e2ddf000XXX";
string datasetId = "dataset/54ad6d0558a27e2ddf000YYY";
var parameters = new BatchPrediction.Arguments();
// "model" parameter can be a model, an ensemble or a logisticregression
parameters.Add("model", modelId);
parameters.Add("dataset", datasetId);
parameters.Add("output_dataset", true);
BatchPrediction batchPrediction;
batchPrediction = await client.CreateBatchPrediction(parameters);
string batchPredictionId = batchPrediction.Resource;
// wait for finish
while ((batchPrediction = await client.Get <BatchPrediction>(batchPredictionId)).StatusMessage.NotSuccessOrFail())
{
await Task.Delay(10);
}
Console.WriteLine(batchPrediction.OutputDatasetResource);
}
