AggregateKMeans.cs

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/*
 *  This file was autogenerated by the Kinetica schema processor.
 *
 *  DO NOT EDIT DIRECTLY.
 */

using System.Collections.Generic;



namespace kinetica
{

    public class AggregateKMeansRequest : KineticaData
    {

        public struct Options
        {

            public const string WHITEN = "whiten";

            public const string MAX_ITERS = "max_iters";

            public const string NUM_TRIES = "num_tries";
        } // end struct Options


        public string table_name { get; set; }

        public IList<string> column_names { get; set; } = new List<string>();

        public int k { get; set; }

        public double tolerance { get; set; }

        public IDictionary<string, string> options { get; set; } = new Dictionary<string, string>();


        public AggregateKMeansRequest() { }

        public AggregateKMeansRequest( string table_name,
                                       IList<string> column_names,
                                       int k,
                                       double tolerance,
                                       IDictionary<string, string> options = null)
        {
            this.table_name = table_name ?? "";
            this.column_names = column_names ?? new List<string>();
            this.k = k;
            this.tolerance = tolerance;
            this.options = options ?? new Dictionary<string, string>();
        } // end constructor

    } // end class AggregateKMeansRequest



    public class AggregateKMeansResponse : KineticaData
    {

        public IList<IList<double>> means { get; set; } = new List<IList<double>>();

        public IList<long> counts { get; set; } = new List<long>();

        public IList<double> rms_dists { get; set; } = new List<double>();

        public long count { get; set; }

        public double rms_dist { get; set; }

        public double tolerance { get; set; }

        public int num_iters { get; set; }

        public IDictionary<string, string> info { get; set; } = new Dictionary<string, string>();

    } // end class AggregateKMeansResponse




}  // end namespace kinetica