Why doesn't the reshape function , reshape the array globally | Smarter Dev | Page 1

tawny quiver Dec 12, 2022, 1:44 PM

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When I try to print the shape of the "y_pred" array out of the "concatenate" function the shape still remains unchanged.
So does that mean , whatever re-shaping happens inside the "concatenate" function , is only temporary ? PS: the shape of y_pred was (10,) previously as well

warped ridge Dec 13, 2022, 4:11 AM

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Numpy's reshape returns a new ndarray

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It doesn't change it in place if I recall correctly

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@tawny quiver

tawny quiver Dec 13, 2022, 1:34 PM

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so its just temporary then , just for the use of the function in context ?

warped ridge Dec 13, 2022, 7:43 PM

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Uhhhh yeah if you do it like that

tawny quiver Dec 15, 2022, 3:59 AM

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oh ok then , thank you so muchhh

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also would you mind if i asked you another question

warped ridge Dec 15, 2022, 4:05 AM

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Just ask lol

tawny quiver Dec 20, 2022, 3:10 PM

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So , its basically about Feature Scaling using StandardScaler , on the x_train and x_test

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why do we use the same StandardScaler object on both the test and train data(x_train and x_test) , wouldn't this lead to data leakage between the x_train and x_test data set ?

Using .fit_transform() method on x_train calculates the mean of x_train ,and by using the same object for x_test , the standardisation is done using the mean calculated for x_train

#Why doesn't the reshape function , reshape the array globally