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:

.. code-block:: console

   python scripts/check_colab_links.py

.. list-table::
   :widths: 50 50
   :header-rows: 1

   * - Name
     - Link
   * - **Local dataset preparation**
     - `Open in Colab <https://colab.research.google.com/github/diliadis/DeepMTP/blob/main/DEMO/load_datasets.ipynb>`__
   * - **Multi-label classification (MLC)** 
     - `Open in Colab <https://colab.research.google.com/github/diliadis/DeepMTP/blob/main/DEMO/main_example_MLC.ipynb>`__
   * - **Multivariate regression (MTR)**
     - `Open in Colab <https://colab.research.google.com/github/diliadis/DeepMTP/blob/main/DEMO/main_example_MTR.ipynb>`__
   * - **Multi-task learning (MTL)**
     - `Open in Colab <https://colab.research.google.com/github/diliadis/DeepMTP/blob/main/DEMO/main_example_MTL.ipynb>`__
   * - **Matrix Completion (MC)**
     - `Open in Colab <https://colab.research.google.com/github/diliadis/DeepMTP/blob/main/DEMO/main_example_MC.ipynb>`__
   * - **Dyadic Prediction (DP)**
     - `Open in Colab <https://colab.research.google.com/github/diliadis/DeepMTP/blob/main/DEMO/main_example_DP.ipynb>`__
   * - **Hyperband**
     - `Open in Colab <https://colab.research.google.com/github/diliadis/DeepMTP/blob/main/DEMO/hyperband_example.ipynb>`__
   * - **Random search**
     - `Open in Colab <https://colab.research.google.com/github/diliadis/DeepMTP/blob/main/DEMO/random_search_example.ipynb>`__