Demo notebooks
The notebooks use small local datasets and are executed by the test suite.
Each Colab link opens the version-controlled notebook rather than a separate
copy. The first code cell detects a fresh Colab runtime and installs the
matching DeepMTP source and its datasets extra from the repository’s
main branch. Hyperband and random search also install the hpo extra.
Local execution skips the bootstrap and uses the active environment.
The live endpoints are checked weekly. Maintainers can run the same check manually from the repository root:
python scripts/check_colab_links.py
Name |
Link |
|---|---|
Local dataset preparation |
|
Multi-label classification (MLC) |
|
Multivariate regression (MTR) |
|
Multi-task learning (MTL) |
|
Matrix Completion (MC) |
|
Dyadic Prediction (DP) |
|
Hyperband |
|
Random search |