/// <summary>
/// Initializes a new instance of the <see cref="ClassificationNetwork"/> class, using the existing <see cref="ClassificationNetwork"/> object.
/// </summary>
/// <param name="other">The <see cref="ClassificationNetwork"/> to copy the data from.</param>
/// <param name="cloneLayers">The value indicating whether the network layers should be cloned.</param>
private ClassificationNetwork(ClassificationNetwork other, bool cloneLayers)
: base(other, cloneLayers)
{
if (other == null)
{
throw new ArgumentNullException(nameof(other));
}
this.classes.AddRange(other.classes);
this.allowedClasses.UnionWith(other.allowedClasses);
this.BlankClass = other.BlankClass;
this.ConfigureAllowedClasses();
}
/// <summary>
/// Creates a classification neural network from the specified file.
/// </summary>
/// <param name="fileName">A string that contains the name of the file from which to create the <see cref="ClassificationNetwork"/>.</param>
/// <returns>The <see cref="ClassificationNetwork"/> this method creates.</returns>
public static new ClassificationNetwork FromFile(string fileName)
{
return(ClassificationNetwork.FromString(File.ReadAllText(fileName, Encoding.UTF8)));
}
/// <summary>
/// Creates a classification neural network from the specified byte array.
/// </summary>
/// <param name="buffer">The buffer to read the <see cref="ClassificationNetwork"/> from.</param>
/// <returns>The <see cref="ClassificationNetwork"/> this method creates.</returns>
public static new ClassificationNetwork FromMemory(byte[] buffer)
{
return(ClassificationNetwork.FromString(UTF8Encoding.UTF8.GetString(buffer)));
}
/// <summary>
/// Creates a classification neural network from a string that contains network architecture.
/// </summary>
/// <param name="architecture">The network architecture.</param>
/// <param name="classes">The classes the network should able to classify into.</param>
/// <returns>The <see cref="ClassificationNetwork"/> object this method creates.</returns>
public static ClassificationNetwork FromArchitecture(string architecture, IList <string> classes)
{
return(ClassificationNetwork.FromArchitecture(architecture, classes, classes, null));
}
