.. |
0.basics.py
|
adding environment variables for N_JOBS, and adding a default classifier (sklearn's logistic regression) for when the classifier is not specified in aggregative quantifiers
|
2024-05-30 10:53:53 +02:00 |
1.model_selection.py
|
adding environment variables for N_JOBS, and adding a default classifier (sklearn's logistic regression) for when the classifier is not specified in aggregative quantifiers
|
2024-05-30 10:53:53 +02:00 |
2.custom_quantifier.py
|
cleaning examples and adding basic example
|
2024-05-29 14:24:03 +02:00 |
4.lequa2022_experiments.py
|
cleaning examples and adding basic example
|
2024-05-29 14:24:03 +02:00 |
4b.lequa2024_experiments.py
|
simplfiying the minimal working exaple in the README
|
2024-09-16 12:54:56 +02:00 |
5.explicit_loss_minimization.py
|
cleaning examples and adding basic example
|
2024-05-29 14:24:03 +02:00 |
6.quanet_example.py
|
cleaning examples and adding basic example
|
2024-05-29 14:24:03 +02:00 |
7.uci_experiments.py
|
cleaning examples and adding basic example
|
2024-05-29 14:24:03 +02:00 |
8.ucimulti_experiments.py
|
adding environment variables for N_JOBS, and adding a default classifier (sklearn's logistic regression) for when the classifier is not specified in aggregative quantifiers
|
2024-05-30 10:53:53 +02:00 |
9.ifcb_experiments.py
|
cleaning examples and adding basic example
|
2024-05-29 14:24:03 +02:00 |
10.one_vs_all.py
|
cleaning examples and adding basic example
|
2024-05-29 14:24:03 +02:00 |
11.comparing_HDy_HDx.py
|
cleaning examples and adding basic example
|
2024-05-29 14:24:03 +02:00 |
12.custom_protocol.py
|
cleaning examples and adding basic example
|
2024-05-29 14:24:03 +02:00 |
13.bayesian_quantification.py
|
cleaning examples and adding basic example
|
2024-05-29 14:24:03 +02:00 |
14.composable_methods.py
|
Installation instructions and new qunfold version
|
2024-07-02 12:08:42 +02:00 |