public override Task <MLBBaseballBatterPredictionResponse> MakeBaseBallBatterPrediction(MLBBaseballBatterPredictionRequest request, ServerCallContext context)
{
_logger.LogInformation("Making prediction for {0} : Predicting: {0}",
request.MLBBaseballBatter.FullPlayerName, request.PredictionType);
MLBHOFPrediction prediction;
// If using ensemble, iterate through the different algorithms used in the models
if (request.UseEnsembleOfAlgorithms)
{
List <MLBHOFPrediction> allModelAlgorithmPredictions = new List <MLBHOFPrediction>();
foreach (AlgorithmName algorithmName in Enum.GetValues(typeof(AlgorithmName)))
{
var predictionType = request.PredictionType.ToString() == "OnHoFballot" ? "OnHoFBallot" : "InductedToHoF";
var tempmodelNameForPrediction = string.Format("{0}-{1}", predictionType, algorithmName);
var tempPrediction = _predictionPool.Predict(tempmodelNameForPrediction, request.MLBBaseballBatter);
allModelAlgorithmPredictions.Add(tempPrediction);
}
prediction = new MLBHOFPrediction
{
Probability = (allModelAlgorithmPredictions.Sum(a => a.Probability) / allModelAlgorithmPredictions.Count()),
Prediction = (allModelAlgorithmPredictions.Sum(a => a.Probability) / allModelAlgorithmPredictions.Count()) >= 0.5 ? true : false,
Score = 0 // Score is meaningless, as each algorithm's processes use different scales
};
}
// Else, perform a simple prediction based on the source algorithm of the model
else
{
var modelNameForPredictions = string.Format("{0}-{1}", request.PredictionType, request.AlgorithmName);
prediction = _predictionPool.Predict(modelNameForPredictions, request.MLBBaseballBatter);
}
var response = new MLBBaseballBatterPredictionResponse
{
PredictionID = request.PredictionID,
PredictionType = request.PredictionType,
MLBBaseballBatter = request.MLBBaseballBatter,
MLBHOFPrediction = prediction
};
return(Task.FromResult(response));
}
static async Task Main(string[] args)
{
// Temporary workaround for Visual Studio 2022 Preview
Environment.SetEnvironmentVariable("ASPNETCORE_PREVENTHOSTINGSTARTUP", "true");
Console.Title = "gRPC Baseball Predictions Client";
Console.ForegroundColor = ConsoleColor.Cyan;
Console.WriteLine("Starting the gRPC Baseball Predictions Client.");
Console.WriteLine();
// Retrieve Sample Baseball Data
var mlbBaseballPlayerBatters = await BaseballData.GetSampleBaseballData();
// The port number(5001) must match the port of the gRPC server.
using var channel = GrpcChannel.ForAddress("https://localhost:5001");
var baseBallPredictionClient = new BaseballBatterPrediction.BaseballBatterPredictionClient(channel);
foreach (var mlbBaseballPlayerBatter in mlbBaseballPlayerBatters)
{
// Slow down predictions, to see a better representation on the Console program
// Note: You would remove this in a real-world implementation
await Task.Delay(600);
// OnHallOfFameBallot Prediction
var baseBallPredictionRequest = new MLBBaseballBatterPredictionRequest {
PredictionID = Guid.NewGuid().ToString(),
PredictionType = PredictionType.OnHoFballot,
AlgorithmName = AlgorithmName.GeneralizedAdditiveModels,
UseEnsembleOfAlgorithms = true,
MLBBaseballBatter = mlbBaseballPlayerBatter
};
var baseBallPredictionReply =
await baseBallPredictionClient.MakeBaseBallBatterPredictionAsync(baseBallPredictionRequest);
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine(baseBallPredictionReply.MLBBaseballBatter.FullPlayerName);
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine("On Hall Of Fame Ballot ################################");
Console.ResetColor();
Console.WriteLine("PredictionID: {0}", baseBallPredictionReply.PredictionID);
Console.WriteLine("Predicted Probability of {0}: {1}", baseBallPredictionRequest.PredictionType,
Math.Round((Decimal)baseBallPredictionReply.MLBHOFPrediction.Probability, 5, MidpointRounding.AwayFromZero));
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine("######################################################");
Console.WriteLine();
// InductedToHallOfFame Prediction
baseBallPredictionRequest = new MLBBaseballBatterPredictionRequest
{
PredictionID = Guid.NewGuid().ToString(),
PredictionType = PredictionType.InductedToHoF,
AlgorithmName = AlgorithmName.GeneralizedAdditiveModels,
UseEnsembleOfAlgorithms = false,
MLBBaseballBatter = mlbBaseballPlayerBatter
};
baseBallPredictionReply =
await baseBallPredictionClient.MakeBaseBallBatterPredictionAsync(baseBallPredictionRequest);
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine(baseBallPredictionReply.MLBBaseballBatter.FullPlayerName);
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine("Inducted to Hall Of Fame #############################");
Console.ResetColor();
Console.WriteLine("PredictionID: {0}", baseBallPredictionReply.PredictionID);
Console.WriteLine("Predicted Probability of {0}: {1}", baseBallPredictionRequest.PredictionType,
Math.Round((Decimal)baseBallPredictionReply.MLBHOFPrediction.Probability, 5, MidpointRounding.AwayFromZero));
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine("######################################################");
Console.WriteLine();
}
Console.ForegroundColor = ConsoleColor.Cyan;
Console.WriteLine();
Console.WriteLine("Finished the gRPC Baseball Predictions Client.");
Console.ReadLine();
}
