tomodrgn convergence_nn
===========================

Purpose
--------
Evaluate similarity of a reference reconstruction to each reconstruction generated by ``train_nn`` at specified epochs throughout training, calculated via map-map FSC.

Sample usage
------------
The examples below are adapted from ``tomodrgn/testing/commandtest*.py``, and rely on other outputs from ``commandtest.py`` to execute successfully.

.. code-block:: bash

    # Warp v1 style inputs
    tomodrgn \
        convergence_nn \
        output/nn_classE_sim_dosetiltweightmask \
        data/10076_classE_32.mrc \
        --fsc-mask soft

    # WarpTools style inputs
    tomodrgn \
        convergence_nn \
        output/nn_warptools_70S_dosetiltweightmask \
        data/warptools_test_box-32_angpix-12_reconstruct.mrc \
        --fsc-mask soft

Arguments
---------

.. argparse::
   :ref: tomodrgn.commands.convergence_nn.add_args
   :prog: convergence_nn
   :nodescription:
   :noepilog:



Common next steps
------------------

* Extend model training with ``tomodrgn train_nn [...] --load latest`` if not yet converged
* Train a heterogeneous model with ``tomodrgn train_vae``