TODO 10Now it's your turn to define an entire class. Complete the TODO by creating the LogTransformer class.Define the LogTransformer class by following the below steps:Create a class called LogTransformer. Make sure this class inherits BaseEstimator and TransformerMixin.Note: as we don't need the constructor method __init__() we don't have to define it.Define the fit() method. Be sure it takes the arguments self, X, and y=None just like we did above. Further, make sure to return self otherwise you will get errors.Define the transform() method which takes the arguments self, X, and y=None just like we did above.In the transform() method, return the log of the input data X. Be sure you add 1 to the data before computing the log as it is not possible to take ???(0)!# TODO 10.1 log = LogTransformer()log_area_df = log.fit_transform(forestfire_df['area'])display(log_area_df)todo_check([ (log_area_df.shape == (517,), 'log_area_df does not have the shape (517,)'), (np.all(np.isclose(log_area_df.values[-5:], np.array([2.00687085, 4.01259206, 2.49815188, 0. , 0. ]),rtol=.01)), 'log_area_df did not contain the correct values!')])

The task asks to define a class called LogTransformer which will implement two methods fit and…

Answered: TODO 10 Now it's your turn to define…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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TODO 10

Now it's your turn to define an entire class. Complete the TODO by creating the LogTransformer class.

Define the LogTransformer class by following the below steps:
1. Create a class called LogTransformer. Make sure this class inherits BaseEstimator and TransformerMixin.
  1. Note: as we don't need the constructor method __init__() we don't have to define it.
2. Define the fit() method. Be sure it takes the arguments self, X, and y=None just like we did above. Further, make sure to return self otherwise you will get errors.
3. Define the transform() method which takes the arguments self, X, and y=None just like we did above.
4. In the transform() method, return the log of the input data X. Be sure you add 1 to the data before computing the log as it is not possible to take ???(0)!

# TODO 10.1

log = LogTransformer()
log_area_df = log.fit_transform(forestfire_df['area'])
display(log_area_df)

todo_check([
(log_area_df.shape == (517,), 'log_area_df does not have the shape (517,)'),
(np.all(np.isclose(log_area_df.values[-5:], np.array([2.00687085, 4.01259206, 2.49815188, 0. , 0. ]),rtol=.01)), 'log_area_df did not contain the correct values!')
])

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