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rainfall noisemap

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BOTLester 2020-05-23 20:55:38 +02:00
parent 4a786a166e
commit 57a9076771
4 changed files with 10 additions and 3 deletions
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Game1/Content/Rainfall.png Normal file
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Width:  |  Height:  |  Size: 2.8 MiB

2
Game1/Game1.cs
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@ -326,7 +326,7 @@ namespace Game1
{
for (int j = -1; j < input.getSize().Y + 1; j++)
{
spriteBatch.Draw(Rain, tractorUnit.getFarm().getRainPosition(input.getTileSize(), i, j), new Rectangle(0, cloudSprite * 96, input.getTileSize(), input.getTileSize()), Color.White);
spriteBatch.Draw(Rain, tractorUnit.getFarm().getRainPosition(input.getTileSize(), i, j), new Rectangle(0, cloudSprite * 96, input.getTileSize(), input.getTileSize()), tractorUnit.getFarm().getRainAmount(i, j));
}
}
}

2
Game1/Sources/Crops/Farm.cs
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@ -76,7 +76,7 @@ class Farm
RainPosition.Y = r.Next(0, 1950);
WindSpeed.X = r.Next(-1, 1);
WindSpeed.Y = r.Next(-1, 1);
RainfallMap = PerlinNoise.LoadImage("C:\\Users\\Joel\\source\\repos\\Oskars Repo\\Game1\\Content\\Rainfall.bmp");
RainfallMap = PerlinNoise.LoadImage("C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/Rainfall.png");
}
public Rectangle getRainPosition(int TileSize, int x, int y)

9
Game1/Sources/ML/MLModel.cs
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@ -11,13 +11,20 @@ using Microsoft.ML.Trainers.LightGbm;
class MLModel
{
private static MLContext mlContext = new MLContext(seed: 1);
private static string path = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Fertilizer_Prediction.csv";
private static string modelpath = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel";
private static string report = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report";
private static string pathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/BigFertPredict.csv";
private static string modelpathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodelBig";
private static string reportBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_BigModel";
/*
private static string path = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Fertilizer_Prediction.csv";
private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel";
private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report";
private static string pathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/BigFertPredict.csv";
private static string modelpathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodelBig";
private static string reportBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_BigModel";
*/
// Loading data, creatin and saving ML model for smaller dataset (100)
public static void CreateModel()
{