public static DataSet <FeatureType, LabelType> Read <FeatureType2, LabelType2>(BinaryReader reader, IBinaryReader <FeatureType> reader_features, IBinaryReader <LabelType> reader_labels)
{
DataContext data_context = DataSet.DataContext.Read(reader);
IList <FeatureType[]> feature_data = ToolsCollection.ConvertToArrayArray(reader_features.ReadArray2D());
IList <bool []> missing_data = ToolsCollection.ConvertToArrayArray(reader.ReadBooleanArray2D());
IList <LabelType[]> label_data = ToolsCollection.ConvertToArrayArray(reader_labels.ReadArray2D());
return(new DataSet <FeatureType, LabelType>(data_context, feature_data, missing_data, label_data));
}
public static IModelDiscrete <double, int> Read(BinaryReader reader)
{
IDataContext data_context = DataSet.DataContext.Read(reader);
ModelNearestNeighborKDTreeDefault model = new ModelNearestNeighborKDTreeDefault(data_context);
double[][] instance_features = ToolsCollection.ConvertToArrayArray(reader.ReadFloat64Array2D());
bool[][] instance_missings = ToolsCollection.ConvertToArrayArray(new bool[instance_features.GetLength(0), instance_features.GetLength(1)]);
int[][] instance_labels = ToolsCollection.ConvertToArrayArray(reader.ReadInt32Array2D());
IDataSet <double, int> training_set = new DataSet <double, int>(data_context, instance_features, instance_missings, instance_labels);
return(model.GenerateModelDiscrete(training_set));
}
//Main Contructor
public DataSet(
IDataContext data_context,
IList <FeatureType[]> feature_data,
IList <bool[]> missing_data,
IList <LabelType[]> label_data)
{
if (data_context == null)
{
throw new NullReferenceException();
}
if (feature_data == null)
{
throw new NullReferenceException();
}
if (missing_data == null)
{
throw new NullReferenceException();
}
if (label_data == null)
{
throw new NullReferenceException();
}
if (ToolsCollection.IsStaggered(feature_data))
{
throw new Exception("Does not accept staggered feature data");
}
if (ToolsCollection.IsStaggered(missing_data))
{
throw new Exception("Does not accept staggered missing data");
}
//TODO check that feature_data is of equal size as missing data
if (ToolsCollection.IsStaggered(label_data))
{
throw new Exception("Does not accept staggered label data");
}
if (!ToolsCollection.AreEqualSize(feature_data, missing_data))
{
throw new Exception("Must have missing data for every feature");
}
if (feature_data.Count != label_data.Count)
{
throw new Exception("Feature and label instances must be equal");
}
this.DataContext = data_context;
this.feature_data = ToolsCollection.ConvertToArrayArray(feature_data);
this.missing_data = ToolsCollection.ConvertToArrayArray(missing_data);
this.label_data = ToolsCollection.ConvertToArrayArray(label_data);
}