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Format docs (#7821)

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* Reformat docs for odd_even_sort.py

* Fix docstring formatting

* Apply suggestions from code review

Co-authored-by: Caeden Perelli-Harris <caedenperelliharris@gmail.com>

Co-authored-by: Caeden Perelli-Harris <caedenperelliharris@gmail.com>
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Andrey
2022-10-29 09:26:19 +03:00
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parent 762afc086f
commit cf08d9f5e7
4 changed files with 24 additions and 9 deletions
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10
machine_learning/data_transformations.py
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@ -1,5 +1,7 @@
"""
Normalization Wikipedia: https://en.wikipedia.org/wiki/Normalization
Normalization.
Wikipedia: https://en.wikipedia.org/wiki/Normalization
Normalization is the process of converting numerical data to a standard range of values.
This range is typically between [0, 1] or [-1, 1]. The equation for normalization is
x_norm = (x - x_min)/(x_max - x_min) where x_norm is the normalized value, x is the
@ -28,7 +30,8 @@ from statistics import mean, stdev
def normalization(data: list, ndigits: int = 3) -> list:
"""
Returns a normalized list of values
Return a normalized list of values.
@params: data, a list of values to normalize
@returns: a list of normalized values (rounded to ndigits decimal places)
@examples:
@ -46,7 +49,8 @@ def normalization(data: list, ndigits: int = 3) -> list:
def standardization(data: list, ndigits: int = 3) -> list:
"""
Returns a standardized list of values
Return a standardized list of values.
@params: data, a list of values to standardize
@returns: a list of standardized values (rounded to ndigits decimal places)
@examples: