tonicBurstingPackage

install with

pip install git+https://github.com/bloodraven66/CaMLsort.git

Usage

>>> import numpy as np
>>> from TVB.tvb import TVB_handler
>>> tvb_handler = TVB_handler("Seq_CNNLSTM_1sec")
>>> data = np.random.randn(9,900)
>>> output = tvb_handler.predict(data)

Supported models - '1CNN', '3CNN', '3DNN', 'CNNLSTM', 'Seq_CNNLSTM', 'Seq_CNNLSTM_1sec'

Documentation - https://tonicburstingpackage.readthedocs.io/en/latest/ (under construction)

Features

• Get predictions from different pretrained models
• evaluate dataset with metrics
• Train/ Fine tune models