Shafeek Saleem commited on
Commit
c532c54
·
1 Parent(s): b14d8eb
Files changed (1) hide show
  1. pages/3_Training the Model.py +1 -1
pages/3_Training the Model.py CHANGED
@@ -54,7 +54,7 @@ def create_model_inputs(data, lag, mean_period, target_variable):
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  X = df_processed[
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  ["Location", "MinTemp", "MaxTemp", "Rainfall", "WindGustDir", "WindGustSpeed", "WindDir9am", "WindDir3pm",
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  "WindSpeed9am", "WindSpeed3pm", "Humidity9am", "Humidity3pm", "Pressure9am", "Pressure3pm", "Temp9am",
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- "Temp3pm", "RainToday", target_variable + "_mean"]].dropNa()
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  from sklearn.preprocessing import LabelEncoder
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  label_encoder = LabelEncoder()
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  X['RainToday'] = label_encoder.fit_transform(X['RainToday'])
 
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  X = df_processed[
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  ["Location", "MinTemp", "MaxTemp", "Rainfall", "WindGustDir", "WindGustSpeed", "WindDir9am", "WindDir3pm",
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  "WindSpeed9am", "WindSpeed3pm", "Humidity9am", "Humidity3pm", "Pressure9am", "Pressure3pm", "Temp9am",
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+ "Temp3pm", "RainToday", target_variable + "_mean"]].dropna()
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  from sklearn.preprocessing import LabelEncoder
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  label_encoder = LabelEncoder()
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  X['RainToday'] = label_encoder.fit_transform(X['RainToday'])