public class PCAParametersV3 extends ModelParametersSchema
| Modifier and Type | Field and Description |
|---|---|
boolean |
ignore_const_cols
Ignore constant columns
|
java.lang.String[] |
ignored_columns
Ignored columns
|
int |
k
Rank of matrix approximation
|
java.lang.String |
loading_name
Frame key to save resulting X
|
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 for initialization
|
java.lang.String |
training_frame
Training frame
|
TransformType |
transform
Transformation of training data
|
boolean |
use_all_factor_levels
Whether first factor level is included in each categorical expansion
|
java.lang.String |
validation_frame
Validation frame
|
| Constructor and Description |
|---|
PCAParametersV3() |
public TransformType transform
public int k
public int max_iterations
public long seed
public java.lang.String loading_name
public boolean use_all_factor_levels
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