forked from s425077/PotatoPlan
asdasd
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38df90d9b5
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@ -74,7 +74,7 @@ class Farm
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init(Size, housepos);
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RainPosition.X = r.Next(0, 1900);
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RainPosition.Y = r.Next(0, 1950);
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RainfallMap = PerlinNoise.LoadImage("C:\\Users\\Joel\\source\\repos\\Oskars Repo\\Game1\\Content\\Rainfall.png");
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RainfallMap = PerlinNoise.LoadImage("C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/Rainfall.png");
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}
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public Rectangle getRainPosition(int TileSize, int x, int y)
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@ -11,12 +11,19 @@ using Microsoft.ML.Trainers.LightGbm;
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class MLModel
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{
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private static MLContext mlContext = new MLContext(seed: 1);
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/*
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private static string path = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Fertilizer_Prediction.csv";
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private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel";
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private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report";
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*/
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private static string pathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/BigFertPredict.csv";
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private static string modelpathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodelBig";
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private static string reportBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_BigModel";
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private static string path = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Fertilizer_Prediction.csv";
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private static string modelpath = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel";
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private static string report = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report";
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// Loading data, creatin and saving ML model for smaller dataset (100)
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public static void CreateModel()
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{
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