public void FeedForwardNeuralNetwork_LoadModelSparseMatrix()
{
var target = new FeedForwardNeuralNetwork <double>(
new[] { 2L, 3L, 2L });
var parser = new DoubleParser <string>();
var matrix = TestsHelper.ReadMatrix(
5,
5,
"[[-1.0, 1.0, 0.5, 0, 0], [1.0, -1.0, 0.5, 0, 0], [0, 0, 0, -1.0, 2.0], [0, 0, 0, 0.5, -1.5], [0, 0, 0, 1.0, -0.5]]",
(i, j) => new SparseDictionaryMatrix <double>(i, j, 0),
parser,
true);
var vector = TestsHelper.ReadVector(
5,
"[-1.0, 0.0, 1.0, -0.5, 0.5]",
new SparseDictionaryMathVectorFactory <double>(),
parser,
true);
var model = new NeuralNetworkModel <double, SparseDictionaryMatrix <double>, IMathVector <double> >(
matrix,
vector);
target.LoadModelSparse <SparseDictionaryMatrix <double>, ILongSparseMatrixLine <double>, IMathVector <double> >(
model);
this.AssertTargetFromMatrix(
model,
target);
}
public void FeedForwardNeuralNetwork_LoadModelComplexDisconnectedSparseMatrix()
{
var schema = new[] { 5L, 3L, 4L, 2L, 5L };
var target = new FeedForwardNeuralNetwork <double>(
schema);
var model = this.GetComplexUnconnectedTestModel();
target.LoadModelSparse <CoordinateSparseMathMatrix <double>, ILongSparseMatrixLine <double>, ArrayMathVector <double> >(
model);
// Verificação do carregamento
this.AssertTargetFromMatrix(
model,
target);
}
