





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


__lowercase       ,     __lowercase       ,     __lowercase       ,     __lowercase       :List[Any]       =  train_test_split(X, y, test_size=0.2, random_state=0)


__lowercase       :Any       =  PolynomialFeatures(degree=4)
__lowercase       :Union[str, Any]       =  poly_reg.fit_transform(X)
__lowercase       :Optional[int]       =  LinearRegression()
pol_reg.fit(X_poly, y)







def       UpperCAmelCase							(     ):





						'''simple docstring'''


						plt.scatter(_lowerCamelCase			,   _lowerCamelCase			,   color="red"     )
						plt.plot(_lowerCamelCase			,   pol_reg.predict(poly_reg.fit_transform(_lowerCamelCase     )     )			,   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






import sys

from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

__lowercase       :List[Any]       =  "python tqdm regex requests packaging filelock numpy tokenizers".split()
if sys.version_info < (3, 7):
				pkgs_to_check_at_runtime.append("dataclasses")
if sys.version_info < (3, 8):
				pkgs_to_check_at_runtime.append("importlib_metadata")

for pkg in pkgs_to_check_at_runtime:
				if pkg in deps:
								if pkg == "tokenizers":
												# must be loaded here, or else tqdm check may fail
												from .utils import is_tokenizers_available

												if not is_tokenizers_available():
																continue  # not required, check version only if installed

								require_version_core(deps[pkg])
				else:
								raise ValueError(f"can't find {pkg} in {deps.keys()}, check dependency_versions_table.py")







def       UpperCAmelCase							(     _lowerCamelCase      :  Optional[Any]			,   _lowerCamelCase      :  Optional[Any]=None     ):





						'''simple docstring'''


						require_version(deps[pkg]			,   _lowerCamelCase     )