



"""simple docstring"""




import numpy as np
import requests


def   lowercase__     (			)     ->			List[Any]:






      '''simple docstring'''


      lowercase  :      int					=   requests.get(
          'https://raw.githubusercontent.com/yashLadha/The_Math_of_Intelligence/'
          'master/Week1/ADRvsRating.csv'				)
      lowercase  :      Union[str, Any]					=   response.text.splitlines()
      lowercase  :      Union[str, Any]					=   []
      for item in lines:
            lowercase  :      Tuple					=   item.split(','				)
            data.append(_UpperCAmelCase				)
      data.pop(0				)  # This is for removing the labels from the list
      lowercase  :      Any					=   np.matrix(_UpperCAmelCase				)
      return dataset


def   lowercase__     (			_UpperCAmelCase	,      _UpperCAmelCase	,      _UpperCAmelCase	,      _UpperCAmelCase	,      _UpperCAmelCase				)     ->			List[Any]:






      '''simple docstring'''


      lowercase  :      Tuple					=   len_data

      lowercase  :      int					=   np.dot(_UpperCAmelCase	,      data_x.transpose()				)
      prod -= data_y.transpose()
      lowercase  :      Dict					=   np.dot(_UpperCAmelCase	,      _UpperCAmelCase				)
      lowercase  :      Any					=   theta - (alpha / n) * sum_grad
      return theta


def   lowercase__     (			_UpperCAmelCase	,      _UpperCAmelCase	,      _UpperCAmelCase	,      _UpperCAmelCase				)     ->			Optional[int]:






      '''simple docstring'''


      lowercase  :      Tuple					=   np.dot(_UpperCAmelCase	,      data_x.transpose()				)
      prod -= data_y.transpose()
      lowercase  :      List[Any]					=   np.sum(np.square(_UpperCAmelCase				)				)
      lowercase  :      str					=   sum_elem / (2 * len_data)
      return error


def   lowercase__     (			_UpperCAmelCase	,      _UpperCAmelCase				)     ->			Tuple:






      '''simple docstring'''


      lowercase  :      List[str]					=   10_00_00
      lowercase  :      str					=   0.0_0_0_1_5_5_0

      lowercase  :      Any					=   data_x.shape[1]
      lowercase  :      Tuple					=   data_x.shape[0] - 1

      lowercase  :      str					=   np.zeros((1, no_features)				)

      for i in range(0	,      _UpperCAmelCase				):
            lowercase  :      Tuple					=   run_steep_gradient_descent(_UpperCAmelCase	,      _UpperCAmelCase	,      _UpperCAmelCase	,      _UpperCAmelCase	,      _UpperCAmelCase				)
            lowercase  :      int					=   sum_of_square_error(_UpperCAmelCase	,      _UpperCAmelCase	,      _UpperCAmelCase	,      _UpperCAmelCase				)
            print(f'''At Iteration {i + 1} - Error is {error:.5f}'''				)

      return theta


def   lowercase__     (			_UpperCAmelCase	,      _UpperCAmelCase				)     ->			List[str]:






      '''simple docstring'''


      lowercase  :      int					=   sum(abs(y - predicted_y[i]				) for i, y in enumerate(_UpperCAmelCase				)				)
      return total / len(_UpperCAmelCase				)


def   lowercase__     (			)     ->			Optional[int]:






      '''simple docstring'''


      lowercase  :      Any					=   collect_dataset()

      lowercase  :      Any					=   data.shape[0]
      lowercase  :      str					=   np.c_[np.ones(_UpperCAmelCase				), data[:, :-1]].astype(_UpperCAmelCase				)
      lowercase  :      Any					=   data[:, -1].astype(_UpperCAmelCase				)

      lowercase  :      List[Any]					=   run_linear_regression(_UpperCAmelCase	,      _UpperCAmelCase				)
      lowercase  :      int					=   theta.shape[1]
      print('Resultant Feature vector : '				)
      for i in range(0	,      _UpperCAmelCase				):
            print(f'''{theta[0, i]:.5f}'''				)


if __name__ == "__main__":
     main()





"""simple docstring"""




import abc
import copy
import dataclasses
from dataclasses import dataclass
from typing import ClassVar, Dict, Type, TypeVar

from ..features import Features


_UpperCamelCase:				int    							=  TypeVar('T', bound='TaskTemplate')


@dataclass(frozen=SCREAMING_SNAKE_CASE__     )
class   a__		(						abc.ABC     ):
   # `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
   _lowerCamelCase												=				42
   _lowerCamelCase												=				42
   _lowerCamelCase												=				42


   def        lowercase				(							self      :							T,     lowerCAmelCase      :							Features			)    ->       T:
         return copy.deepcopy(self			)


   @property
   def        lowercase				(							self      :							Union[str, Any]			)    ->       Features:
         return Features(**self.input_schema,     **self.label_schema			)


   @property
   @abc.abstractmethod
   def        lowercase				(							self      :							Tuple			)    ->       Dict[str, str]:
         raise NotImplementedError






   @classmethod
   def        lowercase				(							cls      :							Type[T],     lowerCAmelCase      :							dict			)    ->       T:
         lowercase  :      Union[str, Any]					=   {f.name for f in dataclasses.fields(cls			)}
         return cls(**{k: v for k, v in template_dict.items() if k in field_names}			)
