Testing dataset balancing techniques from previous works.
Project description
Testing dataset balancing techniques from previous works.
How do I install this package?
As usual, just download it using pip:
pip install miur_daad_balancing
Tests Coverage
Since some software handling coverages sometime get slightly different results, here’s three of them:
Usage
Three balancing methods are available for the MIUR-DAAD project:
Umbalanced
This method just leaves the data as-is, and is used more as callback usefull to uniform the pipeline:
from miur_daad_balancing import umbalanced
training, testing = generate_my_data(...)
balanced_training, balanced_testing = umbalanced(training, testing)
Balanced
Applies a maximum threshold to every class in the training set as specified in the default package settings (3000):
from miur_daad_balancing import balanced
training, testing = generate_my_data(...)
balanced_training, balanced_testing = balanced(training, testing)
Full Balanced
Applies a maximum threshold to every class in the training set and balances to some default proportions the testing set:
from miur_daad_balancing import full_balanced
training, testing = generate_my_data(...)
balanced_training, balanced_testing = full_balanced(training, testing)
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