public ColumnInfo(string input, string output, CategoricalTransform.OutputKind outputKind = Defaults.OutKind,
                   int maxNumTerms = TermEstimator.Defaults.MaxNumTerms, TermTransform.SortOrder sort = TermEstimator.Defaults.Sort,
                   string[] term   = null)
     : base(input, output, maxNumTerms, sort, term, true)
 {
     OutputKind = outputKind;
 }
示例#2
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 public ColumnInfo(string input, string output, OneHotEncodingTransformer.OutputKind outputKind = Defaults.OutKind,
                   int maxNumTerms = ValueToKeyMappingEstimator.Defaults.MaxNumTerms, TermTransform.SortOrder sort = ValueToKeyMappingEstimator.Defaults.Sort,
                   string[] term   = null)
     : base(input, output, maxNumTerms, sort, term, true)
 {
     OutputKind = outputKind;
 }
示例#3
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 /// <summary>
 /// Convenience constructor for public facing API.
 /// </summary>
 /// <param name="env">Host Environment.</param>
 /// <param name="inputColumn">Name of the column to be transformed.</param>
 /// <param name="outputColumn">Name of the output column. If this is null '<paramref name="inputColumn"/>' will be used.</param>
 /// <param name="maxNumTerms">Maximum number of terms to keep per column when auto-training.</param>
 /// <param name="sort">How items should be ordered when vectorized. By default, they will be in the order encountered.
 /// If by value items are sorted according to their default comparison, for example, text sorting will be case sensitive (for example, 'A' then 'Z' then 'a').</param>
 public TermEstimator(IHostEnvironment env, string inputColumn, string outputColumn = null, int maxNumTerms = Defaults.MaxNumTerms, TermTransform.SortOrder sort = Defaults.Sort) :
     this(env, new TermTransform.ColumnInfo(inputColumn, outputColumn ?? inputColumn, maxNumTerms, sort))
 {
 }
示例#4
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 public TermEstimator(IHostEnvironment env, string name, string source = null, int maxNumTerms = TermTransform.Defaults.MaxNumTerms, TermTransform.SortOrder sort = TermTransform.Defaults.Sort) :
     this(env, new TermTransform.ColumnInfo(name, source ?? name, maxNumTerms, sort))
 {
 }
 /// <summary>
 /// Initializes a new instance of <see cref="ValueToKeyMappingEstimator"/>.
 /// </summary>
 /// <param name="catalog">The categorical transform's catalog.</param>
 /// <param name="inputColumn">Name of the column to be transformed.</param>
 /// <param name="outputColumn">Name of the output column. If this is null '<paramref name="inputColumn"/>' will be used.</param>
 /// <param name="maxNumTerms">Maximum number of keys to keep per column when auto-training.</param>
 /// <param name="sort">How items should be ordered when vectorized. By default, they will be in the order encountered.
 /// If by value items are sorted according to their default comparison, for example, text sorting will be case sensitive (for example, 'A' then 'Z' then 'a').</param>
 public static ValueToKeyMappingEstimator MapValueToKey(this TransformsCatalog.CategoricalTransforms catalog,
                                                        string inputColumn,
                                                        string outputColumn          = null,
                                                        int maxNumTerms              = ValueToKeyMappingEstimator.Defaults.MaxNumTerms,
                                                        TermTransform.SortOrder sort = ValueToKeyMappingEstimator.Defaults.Sort)
 => new ValueToKeyMappingEstimator(CatalogUtils.GetEnvironment(catalog), inputColumn, outputColumn, maxNumTerms, sort);