A set of results returned by Kinetica.aggregateKMeans. More...
Inheritance diagram for AggregateKMeansResponse:
Collaboration diagram for AggregateKMeansResponse:
Classes | |
| struct | Info |
| A set of string constants for the parameter info. More... | |
Properties | |
| IList< IList< double > > | means = new List<IList<double>>() [get, set] |
| The k-mean values found. More... | |
| IList< long > | counts = new List<long>() [get, set] |
| The number of elements in the cluster closest the corresponding k-means values. More... | |
| IList< double > | rms_dists = new List<double>() [get, set] |
| The root mean squared distance of the elements in the cluster for each of the k-means values. More... | |
| long | count [get, set] |
| The total count of all the clusters - will be the size of the input table. More... | |
| double | rms_dist [get, set] |
| The sum of all the rms_dists - the value the k-means algorithm is attempting to minimize. More... | |
| double | tolerance [get, set] |
| The distance between the last two iterations of the algorithm before it quit. More... | |
| int | num_iters [get, set] |
| The number of iterations the algorithm executed before it quit. More... | |
| IDictionary< string, string > | info = new Dictionary<string, string>() [get, set] |
| Additional information. More... | |
| Properties inherited from KineticaData | |
| Schema | Schema [get] |
| Avro Schema for this class More... | |
| Properties inherited from Avro.Specific.ISpecificRecord | |
| Schema | Schema [get] |
Additional Inherited Members | |
| Public Member Functions inherited from KineticaData | |
| KineticaData (KineticaType type) | |
| Constructor from Kinetica Type More... | |
| KineticaData (System.Type type=null) | |
| Default constructor, with optional System.Type More... | |
| object | Get (int fieldPos) |
| Retrieve a specific property from this object More... | |
| void | Put (int fieldPos, object fieldValue) |
| Write a specific property to this object More... | |
| Static Public Member Functions inherited from KineticaData | |
| static ? RecordSchema | SchemaFromType (System.Type t, KineticaType? ktype=null) |
| Create an Avro Schema from a System.Type and a KineticaType. More... | |
Detailed Description
A set of results returned by Kinetica.aggregateKMeans.
Definition at line 339 of file AggregateKMeans.cs.
Property Documentation
◆ count
|
getset |
The total count of all the clusters - will be the size of the input table.
Definition at line 364 of file AggregateKMeans.cs.
◆ counts
|
getset |
The number of elements in the cluster closest the corresponding k-means values.
Definition at line 356 of file AggregateKMeans.cs.
◆ info
|
getset |
Additional information.
- QUALIFIED_RESULT_TABLE_NAME: The fully qualified name of the result table (i.e. including the schema) used to store the results.
The default value is an empty Dictionary.
Definition at line 389 of file AggregateKMeans.cs.
◆ means
|
getset |
The k-mean values found.
Definition at line 352 of file AggregateKMeans.cs.
◆ num_iters
|
getset |
The number of iterations the algorithm executed before it quit.
Definition at line 376 of file AggregateKMeans.cs.
◆ rms_dist
|
getset |
The sum of all the rms_dists - the value the k-means algorithm is attempting to minimize.
Definition at line 368 of file AggregateKMeans.cs.
◆ rms_dists
|
getset |
The root mean squared distance of the elements in the cluster for each of the k-means values.
Definition at line 360 of file AggregateKMeans.cs.
◆ tolerance
|
getset |
The distance between the last two iterations of the algorithm before it quit.
Definition at line 372 of file AggregateKMeans.cs.
The documentation for this class was generated from the following file:
- Kinetica/Protocol/AggregateKMeans.cs
