deepextractor.evaluation.simulate
=================================

.. py:module:: deepextractor.evaluation.simulate

.. autoapi-nested-parse::

   Simulated evaluation of DeepExtractor models.

   Usage::

       deepextractor-evaluate --model DeepExtractor_257 --checkpoint-dir checkpoints/ \
           --data-dir data/ --output-dir evaluation/







Module Contents
---------------

.. py:data:: logger

.. py:data:: SAMPLE_RATE
   :value: 4096


.. py:data:: NYQUIST_FREQ
   :value: 2048


.. py:data:: T
   :value: 2.0


.. py:data:: T_INJ
   :value: 1.0


.. py:data:: LENGTH
   :value: 0


.. py:data:: MODEL_REGISTRY

.. py:function:: prepare_data_for_stft(data, scaler, n_fft, hop_length, win_length, window)

.. py:function:: calculate_match(true_signal, predicted_signal, sample_rate=SAMPLE_RATE)

.. py:function:: generate_glitch_data(signal_type, gaussian_noise_samples, signal_function_map, snr_min=7.5, snr_max=100, bilby_noise=False)

.. py:function:: generate_hybrid_glitch_data(gaussian_noise_samples, signal_function_map, snr_min=7.5, snr_max=100)

.. py:function:: evaluate_model(model_name, model_registry, scaler, glitch_data, output_path, checkpoint_dir, device, batch_size=8, checkpoint_filename=CHECKPOINT_BILBY)

.. py:function:: main()