Marc
Marc
* Day: 05 * Exercise: 08 There is an interlude for ex08 that explains how to vectorize the loss calculation, thus it should be for ex07 and not ex08. Also...
* Day: 05 * Exercise: 06 For the descriptions of the functions `loss_elem_` and `loss_`, the return section says: > None if there is a dimension matching problem between X,...
* Day: 00 * Exercise: 00 There is a commentary for the `__mul__` method that says `returns a Vector if we perform Matrix * Vector multiplication`  But in the...
* Day: 00 * Exercise: 00 In the examples there is a multiplication between a matrix containing `float`s and a vector containing `int`s. The output is written as it was...
* Day: * * Exercise: * PEP8 standards prevents us from using the 42header It throws this error: `E501 line too long (80 > 79 characters)`
* Day: 07 * Exercise: 03 All function we are told to code has a name finished by `_` (`fit_`, `predict_`, ...) Thus, I think `gradient` should be renamed to...
* Day: 07 * Exercise: 05 There are 4 issues on this exercice: 1) Init of MyLR In the example, there is: ```py mylr = MyLR([[1.], [1.], [1.], [1.], [1]])...
* Day: 06 * Exercise: 05 There are 3 minors issues: # Turn in filename The subject header says: `Files to turn in : z_score.py` But the instructions says: `In...
* Day: 06 * Exercise: 03 Given examples of `loss_elem_` are 10 times greater than it should. \ The subject says: ```python # Example 0.1: lr1.loss_elem_(y, y_hat) # Output: array([[710.45867381],...
* Day: 05 * Exercise: 01 (TinyStatistician) The correction page gives this test: ```python import TinyStatistician as ts data = [42, 7, 69, 18, 352, 3, 650, 754, 438, 2659]...