public class GapStatisticModel extends Model implements Job.Progress
Model.ModelCategory
Modifier and Type | Field and Description |
---|---|
static DocGen.FieldDoc[] |
DOC_FIELDS |
_dataKey, _domains, _modelClassDist, _names, _priorClassDist, training_duration_in_ms, training_start_time
Constructor and Description |
---|
GapStatisticModel(Key selfKey,
Key dataKey,
Frame fr,
int ks,
double[] wks,
double[] log_wks,
double[] sk,
int k_max,
int b_max,
int k,
int b) |
Modifier and Type | Method and Description |
---|---|
void |
delete() |
double[] |
gaps() |
void |
generateHTML(java.lang.String title,
java.lang.StringBuilder sb) |
float |
progress() |
protected float[] |
score0(double[] data,
float[] preds)
Subclasses implement the scoring logic.
|
double[] |
sk() |
java.lang.String |
toString() |
double[] |
wkbs() |
double[] |
wks() |
adapt, calcError, classNames, cm, delete_impl, errStr, get_params, getDomainMapping, getDomainMapping, getModelCategory, getUniqueId, isClassifier, job, missingColumnsType, mse, nclasses, nfeatures, responseName, score, score, score, score, score, score, score0, setModelClassDistribution, start_training, start_training, stop_training, testJavaScoring, toJava, toJava, toJavaDefaultMaxIters, toJavaInit, toJavaInit, toJavaPredictBody, toJavaSuper, varimp
delete_and_lock, delete, delete, delete, is_unlocked, is_wlocked, read_lock, read_lock, unlock_all, unlock, update, write_lock
clone, frozenType, init, newInstance, read, toDocField, write, writeJSON, writeJSONFields
public static DocGen.FieldDoc[] DOC_FIELDS
public double[] wks()
public double[] wkbs()
public double[] sk()
public double[] gaps()
public float progress()
progress
in interface Job.Progress
protected float[] score0(double[] data, float[] preds)
Model
public java.lang.String toString()
toString
in class java.lang.Object
public void generateHTML(java.lang.String title, java.lang.StringBuilder sb)