AutoModel.md

AutoModel

AutoModel provides a meaningful way to test several network architectures in an automated manner. Currently there are five supported architectures:

• conv1d
• lstm
• bidirectional_lstm
• simplernn
• dense

AutoModel creates an input model for Scan(). Optimized for being used together with AutoParams() and expects one or more of the above architectures to be included in params dictionary, for example:

p = {...
    'networks': ['dense', 'conv1d', 'lstm']
    ...}

AutoModel Arguments

Argument	Input	Description
task	str or None	binary, multi_label, multi_class, or continuous
metric	None or list	One or more Keras metric (functions) to be used in the model

Setting task effects which various aspects of the model and should be set according to the specific prediction task, or set to None in which case metric input is required.