mendevi.models.dnn.DNN¶

class mendevi.models.dnn.DNN(*args: tuple, **kwargs: dict)[source]¶

Deep neuronal network predictive model.

Initialise the model.

Parameters¶

titlestr, optional: The model title.
**kwargsdict: Includes the following fields.
sourcesstr: All sources for the model, the conference paper, the authors, etc.
input_labelslist[str]: The name of all input parameters. The possibles values are mendevi.plot.axis.Name.
output_labelslist[str]: The name of all output parameters. The possibles values are mendevi.plot.axis.Name.
aggregationlist[str]: Specifies the list of parameters that the model will not interpolate. By default, this list consists of the subset of discrete parameters from input_labels. For example, if you provide an empty list, a single instance of the model will be trained on all parameters.