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fixed everything

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Joel 2020-05-25 11:07:58 +02:00
parent 090a612660
commit 8b115ec1f5
3 changed files with 10 additions and 4 deletions
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6
Game1/Sources/Crops/Farm.cs
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@ -77,6 +77,8 @@ class Farm
init(Size, housepos); init(Size, housepos);
RainPosition.X = r.Next(0, 1900); RainPosition.X = r.Next(0, 1900);
RainPosition.Y = r.Next(0, 1950); RainPosition.Y = r.Next(0, 1950);
WindSpeed.X = GetRandomNumber(-1f, 1f) / 500;
WindSpeed.Y = GetRandomNumber(-1f, 1f) / 500;
RainfallMap = PerlinNoise.LoadImage("C:\\Users\\Joel\\source\\repos\\Oskars Repo\\Game1\\Content\\Rainfall.png"); RainfallMap = PerlinNoise.LoadImage("C:\\Users\\Joel\\source\\repos\\Oskars Repo\\Game1\\Content\\Rainfall.png");
//RainfallMap = PerlinNoise.LoadImage("C:/Users/oel/source/repos/Oscars Repo/Game1/Content/Rainfall.png"); //RainfallMap = PerlinNoise.LoadImage("C:/Users/oel/source/repos/Oscars Repo/Game1/Content/Rainfall.png");
} }
@ -214,8 +216,8 @@ class Farm
private void updateRainMapPosition(Vector2 Size) private void updateRainMapPosition(Vector2 Size)
{ {
float x, y; float x, y;
x = WindSpeed.X + GetRandomNumber(-1f, 1f) / 2000; x = WindSpeed.X + GetRandomNumber(-1f, 1f) / 20000;
y = WindSpeed.Y + GetRandomNumber(-1f, 1f) / 2000; y = WindSpeed.Y + GetRandomNumber(-1f, 1f) / 20000;
if (x <= 0.02f && x >= -0.02f) if (x <= 0.02f && x >= -0.02f)
{ {
WindSpeed.X = x; WindSpeed.X = x;

4
Game1/Sources/ML/Engine.cs
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@ -30,7 +30,9 @@ static class Engine
Phosporous = crop.getSoilProperties().Phosphorous Phosporous = crop.getSoilProperties().Phosphorous
}; };
return PredictionEngine.Predict(modelInput).Prediction; ModelOutput modelOutput = new ModelOutput();
PredictionEngine.Predict(modelInput, ref modelOutput);
return modelOutput.Prediction;
} }
} }

4
Game1/Sources/ML_Joel/Engine.cs
View File

@ -44,7 +44,9 @@ namespace Game1.Sources.ML_Joel
Rainfall = soilProperties.Humidity, Rainfall = soilProperties.Humidity,
}; };
return PredictionEngineArea.Predict(modelInput).Score; OutputArea modelOutput = new OutputArea();
PredictionEngineArea.Predict(modelInput, ref modelOutput);
return modelOutput.Score;
} }
} }