/// <summary>
/// Train a KMeans++ clustering algorithm.
/// </summary>
/// <param name="catalog">The clustering catalog trainer object.</param>
/// <param name="options">Algorithm advanced options.</param>
public static KMeansPlusPlusTrainer KMeans(this ClusteringCatalog.ClusteringTrainers catalog, KMeansPlusPlusTrainer.Options options)
{
Contracts.CheckValue(catalog, nameof(catalog));
Contracts.CheckValue(options, nameof(options));
var env = CatalogUtils.GetEnvironment(catalog);
return(new KMeansPlusPlusTrainer(env, options));
}
/// <summary>
/// Train a KMeans++ clustering algorithm.
/// </summary>
/// <param name="catalog">The clustering catalog trainer object.</param>
/// <param name="featureColumn">The features, or independent variables.</param>
/// <param name="weights">The optional example weights.</param>
/// <param name="clustersCount">The number of clusters to use for KMeans.</param>
/// <example>
/// <format type="text/markdown">
/// <]
/// ]]></format>
/// </example>
public static KMeansPlusPlusTrainer KMeans(this ClusteringCatalog.ClusteringTrainers catalog,
string featureColumn = DefaultColumnNames.Features,
string weights = null,
int clustersCount = KMeansPlusPlusTrainer.Defaults.ClustersCount)
{
Contracts.CheckValue(catalog, nameof(catalog));
var env = CatalogUtils.GetEnvironment(catalog);
var options = new KMeansPlusPlusTrainer.Options
{
FeatureColumn = featureColumn,
WeightColumn = weights != null ? Optional <string> .Explicit(weights) : Optional <string> .Implicit(DefaultColumnNames.Weight),
ClustersCount = clustersCount
};
return(new KMeansPlusPlusTrainer(env, options));
}
/// <summary>
/// Train a KMeans++ clustering algorithm.
/// </summary>
/// <param name="catalog">The clustering catalog trainer object.</param>
/// <param name="featureColumnName">The name of the feature column.</param>
/// <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
/// <param name="clustersCount">The number of clusters to use for KMeans.</param>
/// <example>
/// <format type="text/markdown">
/// <]
/// ]]></format>
/// </example>
public static KMeansPlusPlusTrainer KMeans(this ClusteringCatalog.ClusteringTrainers catalog,
string featureColumnName = DefaultColumnNames.Features,
string exampleWeightColumnName = null,
int clustersCount = KMeansPlusPlusTrainer.Defaults.ClustersCount)
{
Contracts.CheckValue(catalog, nameof(catalog));
var env = CatalogUtils.GetEnvironment(catalog);
var options = new KMeansPlusPlusTrainer.Options
{
FeatureColumnName = featureColumnName,
ExampleWeightColumnName = exampleWeightColumnName,
ClustersCount = clustersCount
};
return(new KMeansPlusPlusTrainer(env, options));
}
public static HierarchicalClusteringTrainer HierarchicalClustering(this ClusteringCatalog.ClusteringTrainers catalog, HierarchicalClustering.Options options)
{
return(new HierarchicalClusteringTrainer(options));
}