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Pest_Population_Forecasting

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Build error

• "statsmodels.base.data.ModelData",
• "statsmodels.tsa.arima.model.ARIMAResultsWrapper",
• "statsmodels.tsa.arima.model.ARIMAResults",
• "numpy.ndarray",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "lightgbm.basic.Booster",
• "numpy.core.multiarray.scalar",
• "collections.OrderedDict",
• "lightgbm.sklearn.LGBMClassifier",
• "collections.defaultdict",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray"

How to fix it?

• "sklearn.ensemble._forest.RandomForestClassifier",
• "numpy.dtype",
• "numpy.ndarray",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "None.dtype",
• "numpy.core.multiarray._reconstruct"

How to fix it?

• "sklearn.preprocessing._data.MinMaxScaler",
• "numpy.dtype",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "None.dtype",
• "numpy.core.multiarray._reconstruct"

How to fix it?

• "numpy.dtype",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "sklearn.preprocessing._data.StandardScaler",
• "None.dtype",
• "numpy.core.multiarray._reconstruct",
• "numpy.core.multiarray.scalar"

How to fix it?

• "numpy.core.multiarray.scalar",
• "numpy.dtype",
• "xgboost.sklearn.XGBClassifier",
• "builtins.bytearray",
• "xgboost.core.Booster"

How to fix it?

• "lightgbm.basic.Booster",
• "lightgbm.sklearn.LGBMRegressor",
• "collections.OrderedDict",
• "collections.defaultdict"

How to fix it?

• "pandas.core.internals.managers.SingleBlockManager",
• "pandas.core.indexes.base._new_Index",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray",
• "numpy.dtype",
• "prophet.forecaster.Prophet",
• "pandas.core.indexes.base.Index",
• "pandas.core.series.Series"

How to fix it?

• "sklearn.ensemble._forest.RandomForestRegressor",
• "numpy.ndarray",
• "sklearn.tree._tree.Tree",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "sklearn.tree._classes.DecisionTreeRegressor"

How to fix it?

• "statsmodels.base.data.ModelData",
• "statsmodels.tsa.statespace.sarimax.SARIMAXResultsWrapper",
• "numpy.ndarray",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "statsmodels.tsa.statespace.sarimax.SARIMAXResults"

How to fix it?

• "numpy.ndarray",
• "sklearn.preprocessing._data.StandardScaler",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.core.multiarray.scalar"

How to fix it?

• "xgboost.core.Booster",
• "xgboost.sklearn.XGBRegressor",
• "builtins.bytearray"

How to fix it?