private static IEstimator <ITransformer> CreateInstance(MLContext context, string[] inColumns, string[] outColumns)
{
var cols = new InputOutputColumnPair[inColumns.Length];
for (var i = 0; i < cols.Length; i++)
{
cols[i] = new InputOutputColumnPair(outColumns[i], inColumns[i]);
}
return(context.Transforms.Categorical.OneHotHashEncoding(cols));
}
private static IEstimator <ITransformer> CreateInstance(MLContext context, string[] inColumns, string[] outColumns)
{
var cols = new InputOutputColumnPair[inColumns.Length];
for (var i = 0; i < cols.Length; i++)
{
cols[i] = new InputOutputColumnPair(outColumns[i], inColumns[i]);
}
return(context.Transforms.Conversion.ConvertType(cols));
}
private static IEstimator <ITransformer> CreateInstance(MLContext context, string[] inColumns, string[] outColumns)
{
var pairs = new InputOutputColumnPair[inColumns.Length];
for (var i = 0; i < inColumns.Length; i++)
{
var pair = new InputOutputColumnPair(outColumns[i], inColumns[i]);
pairs[i] = pair;
}
return(context.Transforms.IndicateMissingValues(pairs));
}
/// <summary> /// Returns the names of the input-output column pairs on which the transformation is applied. /// </summary> public static IReadOnlyList <InputOutputColumnPair> GetColumnPairs(this OneToOneTransformerBase transformer) => InputOutputColumnPair.ConvertFromValueTuples(transformer.ColumnPairs);
