C# Класс Encog.ML.Data.Specific.CSVMLDataSet

An implementation of the MLDataSet interface designed to provide a CSV file to the neural network. This implementation uses the BasicMLData to hold the data being read. This class has no ability to write CSV files. The columns of the CSV file will specify both the input and ideal columns. This class is not memory based, so very long files can be used, without running out of memory.
Наследование: BasicMLDataSet
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Открытые методы

Метод Описание
CSVMLDataSet ( String filename, int inputSize, int idealSize, bool headers ) : System

Construct this data set using a comma as a delimiter.
CSVMLDataSet ( String filename, int inputSize, int idealSize, bool headers, CSVFormat format, bool expectSignificance ) : System

Construct this data set using a comma as a delimiter.

Описание методов

CSVMLDataSet() публичный Метод

Construct this data set using a comma as a delimiter.
public CSVMLDataSet ( String filename, int inputSize, int idealSize, bool headers ) : System
filename String The CSV filename to read.
inputSize int The number of columns that make up the input set.
idealSize int The number of columns that make up the ideal set.
headers bool True if headers are present on the first line.
Результат System

CSVMLDataSet() публичный Метод

Construct this data set using a comma as a delimiter.
public CSVMLDataSet ( String filename, int inputSize, int idealSize, bool headers, CSVFormat format, bool expectSignificance ) : System
filename String The CSV filename to read.
inputSize int The number of columns that make up the input set.
idealSize int The number of columns that make up the ideal set.
headers bool True if headers are present on the first line.
format Encog.Util.CSV.CSVFormat The format to use.
expectSignificance bool
Результат System