public IActionResult Predict(
float season,
float year,
float month,
DateTime hour,
bool holiday,
float weekday,
float weather,
float temperature,
float normalizedTemperature,
float humidity,
float windspeed)
{
var justHour = hour.Hour;
var input = new BikeSharingDemandSample()
{
Season = season,
Year = year,
Month = month,
Hour = justHour,
Holiday = holiday,
Weekday = weekday,
Weather = weather,
Temperature = temperature,
NormalizedTemperature = normalizedTemperature,
Humidity = humidity,
Windspeed = windspeed,
Count = 0
};
var prediction = _machineLearningModel.Predict(input);
ViewData.Add("prediction", prediction.PredictedCount);
return(View());
}
public BikeSharingDemandPrediction Predict(BikeSharingDemandSample sample)
{
return(_predictionEngine.Predict(sample));
}
