junte/Model
1
0
Fork 0
mirror of https://github.com/Hestia-Homes/Model.git synced 2026-07-12 13:29:04 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

documented function

Browse source
This commit is contained in:
Khalim Conn-Kowlessar 2023-07-20 15:50:12 +01:00
parent 5a5c0d5f18
commit deda5bc025
1 changed files with 19 additions and 7 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

26
utils/uvalue_estimates.py
View file

@ -7,21 +7,33 @@ def classify_decile_newvalues(
decile_boundaries: List[float], decile_labels: List[str], new_values: List[float] decile_boundaries: List[float], decile_labels: List[str], new_values: List[float]
) -> List[str]: ) -> List[str]:
""" """
This is a complementary function to UvalueEstimations.classify_decile_newvalues, which does not use pandas Classify a list of new values into pre-established deciles.
so that we can use this function inside of our lamdbas, without having to import pandas.
:param decile_boundaries:
:param decile_labels:
:param new_values:
:return:
"""
This function is an alternative to UvalueEstimations.classify_decile_newvalues that does not depend on pandas,
making it suitable for use in environments where pandas may not be available (such as AWS Lambda).
:param decile_boundaries: A list of decile boundaries. These define the ranges of the deciles.
:param decile_labels: A list of labels for the deciles. These are the classifications to be assigned to the values.
:param new_values: A list of new values to be classified into the deciles.
:return: A list of classifications for the new values. Each classification corresponds to the decile in which
the respective new value falls. If a value falls outside the range of the deciles, its classification is
None.
"""
classifications = [] classifications = []
# For each new value...
for value in new_values: for value in new_values:
# If the value is outside the range of the deciles, classify it as None
if value < decile_boundaries[0] or value > decile_boundaries[-1]: if value < decile_boundaries[0] or value > decile_boundaries[-1]:
classifications.append(None) classifications.append(None)
else: else:
# Use bisect_left to find the decile in which the value falls
i = bisect_left(decile_boundaries, value) i = bisect_left(decile_boundaries, value)
# If the value falls exactly on a decile boundary, classify it in the lower decile
if i: if i:
i -= 1 i -= 1
# Append the classification to the list of classifications
classifications.append(decile_labels[i]) classifications.append(decile_labels[i])
return classifications return classifications