ActivationFuncs returns the list of supported neuron activation functions.

Nets returns the list of supported network types.

NewErrorRes is a shortcut for building a SimpleRes for a failed result.

NewOkRes is a shortcut for building a SimpleRes for a successful result.

BriefNet is a lightweight and standardized representation for neural network parameters.

BriefSeries is a lightweight representation of a time series.

CategorizedPoint is similar to pointstores.Point but has its values divided into inputs and outputs (this separation isn't important when it comes to storing it but allows producers to state their intentions so that, when enough points are available, a training request can be automatically generated).

MetricsUpdate bundles snapshots of a set of values that share some relation that could be used to predict each other in a system.

PagedRes is a wrapper for a paged response where next can be provided as offset for the subsequent request and last can be used to determine when there is nothing left to read.

SimpleRes is used for errors and those cases where the response code would be sufficient but a JSON response helps consistency and user friendliness.

TrainRequest as its name implies, is used to ask the training service to create or update a net.