| ... | ... | @@ -10,7 +10,9 @@ |
|
|
|
|
|
|
|
## ASID Structure
|
|
|
|
|
|
|
|
...
|
|
|
|
ASID library comprises autoML tools for small and imbalanced tabular datasets. asid/automl_small contains modules that allow to fit a generative model on small dataset. The main idea consists in searching for an optimal method, that generates similar synthetic datasets and does not overfit. asid/automl_imbalanced contains modules that allow to deal with imbalanced datasets in classification tasks. They include AutoBalanceBoost - an ensemble classifier specifically designed for imbalanced tasks. The key feature of this algorithm consists in a built-in sequential hyper-parameter tuning scheme. In addition to that, a tool that searches for the optimal classifier is implemented. Apart from AutoBalanceBoost, it also looks through the combinations of state-of-the-art classifiers and balancing procedures.
|
|
|
|
|
|
|
|
_images/asid_structure.png
|
|
|
|
|
|
|
|
## ASID Algorithms
|
|
|
|
|
| ... | ... | @@ -18,4 +20,4 @@ |
|
|
|
|
|
|
|
## Installation
|
|
|
|
|
|
|
|
Содержание раздела 3... |
|
|
\ No newline at end of file |
|
|
|
... |
|
|
\ No newline at end of file |
