public class KMeansParametersV3 extends ClusteringModelParametersSchema
| Modifier and Type | Field and Description |
|---|---|
boolean |
ignore_const_cols
Ignore constant columns
|
java.lang.String[] |
ignored_columns
Ignored columns
|
Initialization |
init
Initialization mode
|
int |
k
Number of clusters
|
int |
max_iterations
Maximum training iterations
|
java.lang.String |
model_id
Destination id for this model; auto-generated if not specified
|
boolean |
score_each_iteration
Whether to score during each iteration of model training
|
long |
seed
RNG Seed
|
boolean |
standardize
Standardize columns
|
java.lang.String |
training_frame
Training frame
|
java.lang.String |
user_points
User-specified points
|
java.lang.String |
validation_frame
Validation frame
|
| Constructor and Description |
|---|
KMeansParametersV3() |
public java.lang.String user_points
public int max_iterations
public boolean standardize
public long seed
public Initialization init
public int k
public java.lang.String model_id
public java.lang.String training_frame
public java.lang.String validation_frame
public java.lang.String[] ignored_columns
public boolean ignore_const_cols
public boolean score_each_iteration