Class BaseModel<TInputData, TPrediction>

public abstract class BaseModel<TInputData, TPrediction> : Model<TInputData, TPrediction> where TInputData : notnull where TPrediction : notnull

Inheritance: object

Model<TInputData, TPrediction>

BaseModel<TInputData, TPrediction>

Inherited Members: Model<TInputData, TPrediction>.Layers

Model<TInputData, TPrediction>.LossFunction

Model<TInputData, TPrediction>.Random

Model<TInputData, TPrediction>.CreateLayerListBuilderInternal()

Model<TInputData, TPrediction>.Forward(TInputData, bool)

Model<TInputData, TPrediction>.Backward(TPrediction)

Model<TInputData, TPrediction>.TrainBatch(TInputData, TPrediction)

Model<TInputData, TPrediction>.UpdateParams(Optimizer)

Model<TInputData, TPrediction>.SaveCheckpoint()

Model<TInputData, TPrediction>.HasCheckpoint()

Model<TInputData, TPrediction>.RestoreCheckpoint()

Model<TInputData, TPrediction>.Clone()

Model<TInputData, TPrediction>.GetParamCount()

Model<TInputData, TPrediction>.Describe(int)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

public BaseModel(Loss<TPrediction> lossFunction, SeededRandom? random)

protected static LayerListBuilder<TInputData, TLayerOut> AddLayer<TLayerOut>(Layer<TInputData, TLayerOut> layer) where TLayerOut : notnull

protected abstract LayerListBuilder<TInputData, TPrediction> CreateLayerListBuilder()

protected override LayerListBuilder<TInputData, TPrediction> CreateLayerListBuilderInternal()