/// <summary>
/// Create a SQL neural data set.
/// </summary>
/// <param name="sql">The SQL to execute.</param>
/// <param name="inputSize">The size of the input data being read.</param>
/// <param name="idealSize">The size of the ideal output data being read.</param>
/// <param name="connectString">The connection string.</param>
public SQLMLDataSet(String sql, int inputSize,
int idealSize, String connectString)
{
IDataSetCODEC codec = new SQLCODEC(sql, inputSize, idealSize, connectString);
var load = new MemoryDataLoader(codec) {Result = this};
load.External2Memory();
}
public SQLMLDataSet(string sql, int inputSize, int idealSize, string connectString)
{
MemoryDataLoader loader2;
if ((((uint) idealSize) + ((uint) inputSize)) >= 0)
{
IDataSetCODEC codec = new SQLCODEC(sql, inputSize, idealSize, connectString);
loader2 = new MemoryDataLoader(codec) {
Result = this
};
}
loader2.External2Memory();
}
public CSVMLDataSet(string filename, int inputSize, int idealSize, bool headers, CSVFormat format, bool expectSignificance)
{
this._xb41a802ca5fde63b = filename;
this._x7e648b416c264559 = inputSize;
if (-2 != 0)
{
this._x08b9e0820ab2b457 = idealSize;
}
this._x5786461d089b10a0 = format;
this._x94e6ca5ac178dbd0 = headers;
IDataSetCODEC codec = new CSVDataCODEC(filename, format, headers, inputSize, idealSize, expectSignificance);
MemoryDataLoader loader2 = new MemoryDataLoader(codec) {
Result = this
};
loader2.External2Memory();
}
/// <summary>
/// Construct this data set using a comma as a delimiter.
/// </summary>
/// <param name="filename">The CSV filename to read.</param>
/// <param name="inputSize">The number of columns that make up the input set.</param>
/// <param name="idealSize">The number of columns that make up the ideal set.</param>
/// <param name="headers">True if headers are present on the first line.</param>
/// <param name="format">The format to use.</param>
public CSVMLDataSet(String filename, int inputSize,
int idealSize, bool headers, CSVFormat format, bool expectSignificance)
{
_filename = filename;
_inputSize = inputSize;
_idealSize = idealSize;
_format = format;
_headers = headers;
IDataSetCODEC codec = new CSVDataCODEC(filename, format, headers, inputSize, idealSize, expectSignificance);
var load = new MemoryDataLoader(codec) {Result = this};
load.External2Memory();
}
/// <summary>
/// Load CSV to memory.
/// </summary>
/// <param name="filename">The CSV file to load.</param>
/// <param name="input">The input count.</param>
/// <param name="ideal">The ideal count.</param>
/// <param name="headers">True, if headers are present.</param>
/// <param name="format">The loaded dataset.</param>
/// <param name="expectSignificance">The loaded dataset.</param>
/// <returns></returns>
public static IMLDataSet LoadCSV2Memory(String filename, int input, int ideal, bool headers, CSVFormat format, bool expectSignificance)
{
IDataSetCODEC codec = new CSVDataCODEC(filename, format, headers, input, ideal, expectSignificance);
var load = new MemoryDataLoader(codec);
IMLDataSet dataset = load.External2Memory();
return dataset;
}
