
"""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__           =	pd.read_csv(
    """https://s3.us-west-2.amazonaws.com/public.gamelab.fun/dataset/"""
    """position_salaries.csv"""
)
lowerCamelCase__           =	dataset.iloc[:, 1:2].values
lowerCamelCase__           =	dataset.iloc[:, 2].values


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


lowerCamelCase__           =	PolynomialFeatures(degree=4)
lowerCamelCase__           =	poly_reg.fit_transform(X)
lowerCamelCase__           =	LinearRegression()
pol_reg.fit(X_poly, y)
def __lowerCAmelCase       ():
	plt.scatter(_UpperCamelCase ,						_UpperCamelCase ,						color='red'	)
	plt.plot(_UpperCamelCase ,						pol_reg.predict(poly_reg.fit_transform(_UpperCamelCase	)	) ,						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"""







from .testing import (
    are_the_same_tensors,
    execute_subprocess_async,
    require_bnb,
    require_cpu,
    require_cuda,
    require_huggingface_suite,
    require_mps,
    require_multi_gpu,
    require_multi_xpu,
    require_safetensors,
    require_single_gpu,
    require_single_xpu,
    require_torch_min_version,
    require_tpu,
    require_xpu,
    skip,
    slow,
)
from .training import RegressionDataset, RegressionModel, RegressionModelaXPU


from .scripts import test_script, test_sync, test_ops  # isort: skip