Fann::Network::Standard

Log = ::Log.for("standard")

new(input : Int32, hidden : Array(Int32), output : Int32)

new(path : String)

nn=(nn : Pointer(LibFANN::Fann))

randomize_weights(min : Float64, max : Float64)

run(input : Array(Float64))

save(path : String) : Int32

set_hidden_layer_activation_func(func : LibFANN::ActivationfuncEnum)

set_output_layer_activation_func(func : LibFANN::ActivationfuncEnum)

train_algorithm(algo : LibFANN::TrainEnum)

train_batch(train_data : Pointer(LibFANN::TrainData), opts = {:max_runs => 200, :desired_mse => 0.01, :log_each => 1})

train_batch_multicore(train_data : Pointer(LibFANN::TrainData), threads : Int32, opts = {:max_runs => 200, :desired_mse => 0.01, :log_each => 1})

train_single(input : Array(Float64), output : Array(Float64))