Returns: Predicted output array from training inputs.
Using this e0 with caution. Quick search. Model Basic neural network model.
Powered by Sphinx 1. Default to False.
Model Linear model. Parameters: inputs — List of input testing objects.
Set to True if you want to test the model with a different set of testing inputs. Try using.
Parameters: describer — Describer To convert input objects to descriptors. Similarly one can set model to knnmlpsvc or the random forest rf default.
Defaults to mae. Parameters: inputs — List of input training objects.
Defaults to StandardScaler activation — Activation function loss — Loss function. Defaults to 0.
Set to True if you want to retrain the model with a different set of training inputs. Returns: Predicted output array from inputs.
Default to None, i. Using TensorFlow backend.
Bases: veidt. Predict with random forest model. Predict with CNN Similarly one can set model veidtt knnmlpsvc or the random forest rf default.