
"""simple docstring"""






import pandas as pd
from matplotlib import pyplot as plt
from sklearn.linear_model import LinearRegression

# Splitting the dataset into the Training set and Test set
from sklearn.model_selection import train_test_split

# Fitting Polynomial Regression to the dataset
from sklearn.preprocessing import PolynomialFeatures

# Importing the dataset
lowerCamelCase__ :       List[str]						     =			pd.read_csv(
    "https://s3.us-west-2.amazonaws.com/public.gamelab.fun/dataset/"
    "position_salaries.csv"
)
lowerCamelCase__ :       Any						     =			dataset.iloc[:, 1:2].values
lowerCamelCase__ :       Union[str, Any]						     =			dataset.iloc[:, 2].values


lowerCamelCase__ :       int						     =			train_test_split(X, y, test_size=0.2, random_state=0)


lowerCamelCase__ :       Union[str, Any]						     =			PolynomialFeatures(degree=4)
lowerCamelCase__ :       List[str]						     =			poly_reg.fit_transform(X)
lowerCamelCase__ :       Tuple						     =			LinearRegression()
pol_reg.fit(X_poly, y)





def __A						(   )->							List[Any]:




		'''simple docstring'''






		plt.scatter(a_		,		a_		,		color='''red'''     )
		plt.plot(a_		,		pol_reg.predict(poly_reg.fit_transform(a_     )     )		,		color='''blue'''     )
		plt.title('''Truth or Bluff (Linear Regression)'''     )
		plt.xlabel('''Position level'''     )
		plt.ylabel('''Salary'''     )
		plt.show()


if __name__ == "__main__":
					viz_polymonial()

					# Predicting a new result with Polymonial Regression
					pol_reg.predict(poly_reg.fit_transform([[5.5]]))
					# output should be 132148.43750003







"""simple docstring"""






def __A						(   a_ :							list		,		a_ :							int		,		a_ :							int = 0		,		a_ :							int = 0     )->							int:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     str				= right or len(a_     ) - 1
		if left > right:
				return -1
		elif list_data[left] == key:
				return left
		elif list_data[right] == key:
				return right
		else:
				return search(a_		,		a_		,		left + 1		,		right - 1     )


if __name__ == "__main__":
					import doctest

					doctest.testmod()





