Python* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Parameters for computing initial centroids for the K-Means algorithm of the batch mode. More...
Public Member Functions | |
| def | __init__ |
| def | check |
Public Member Functions inherited from interface1_Parameter | |
| def | __init__ |
| def | check |
Public Member Functions inherited from Parameter | |
| def | __init__ |
| def | check |
Static Public Attributes | |
| nTrials = ... | |
Static Public Attributes inherited from interface1_Parameter | |
| nClusters = ... | |
| nRowsTotal = ... | |
| offset = ... | |
| seed = ... | |
| L = nClusters*oversamplingFactorpointsaresampledinaround. | |
| nRounds = ... | |
| engine = ... | |
| def __init__ | ( | self, | |
| args | |||
| ) |
Constructs parameters of the algorithm that computes initial centroids for the K-Means algorithm by copying another parameters object
| other | Parameters of the K-Means algorithm |
| def check | ( | self | ) |
check(Parameter self) -> Status
|
static |
Kmeans++ only. The number of trials to generate all clusters but the first initial cluster.
For more complete information about compiler optimizations, see our Optimization Notice.