void |
Booster.boost(DMatrix dtrain,
float[] grad,
float[] hess) |
update with give grad and hess
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static String[] |
XGBoost.crossValidation(DMatrix data,
Map<String,Object> params,
int round,
int nfold,
String[] metrics,
IObjective obj,
IEvaluation eval) |
Cross-validation with given parameters.
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float |
IEvaluation.eval(float[][] predicts,
DMatrix dmat) |
evaluate with predicts and data
|
String |
Booster.evalSet(DMatrix[] evalMatrixs,
String[] evalNames,
int iter) |
evaluate with given dmatrixs.
|
String |
Booster.evalSet(DMatrix[] evalMatrixs,
String[] evalNames,
int iter,
float[] metricsOut) |
evaluate with given dmatrixs.
|
String |
Booster.evalSet(DMatrix[] evalMatrixs,
String[] evalNames,
IEvaluation eval) |
evaluate with given customized Evaluation class
|
String |
Booster.evalSet(DMatrix[] evalMatrixs,
String[] evalNames,
IEvaluation eval,
float[] metricsOut) |
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List<float[]> |
IObjective.getGradient(float[][] predicts,
DMatrix dtrain) |
user define objective function, return gradient and second order gradient
|
float[][] |
Booster.predict(DMatrix data) |
Predict with data
|
float[][] |
Booster.predict(DMatrix data,
boolean outputMargin) |
Predict with data
|
float[][] |
Booster.predict(DMatrix data,
boolean outputMargin,
int treeLimit) |
Advanced predict function with all the options.
|
float[][] |
Booster.predictContrib(DMatrix data,
int treeLimit) |
Output feature contributions toward predictions of given data
|
float[][] |
Booster.predictLeaf(DMatrix data,
int treeLimit) |
Predict leaf indices given the data
|
static Booster |
XGBoost.train(DMatrix dtrain,
Map<String,Object> params,
int round,
Map<String,DMatrix> watches,
float[][] metrics,
IObjective obj,
IEvaluation eval,
int earlyStoppingRound) |
Train a booster given parameters.
|
static Booster |
XGBoost.train(DMatrix dtrain,
Map<String,Object> params,
int round,
Map<String,DMatrix> watches,
float[][] metrics,
IObjective obj,
IEvaluation eval,
int earlyStoppingRounds,
Booster booster) |
Train a booster given parameters.
|
static Booster |
XGBoost.train(DMatrix dtrain,
Map<String,Object> params,
int round,
Map<String,DMatrix> watches,
IObjective obj,
IEvaluation eval) |
Train a booster given parameters.
|
void |
Booster.update(DMatrix dtrain,
int iter) |
Update the booster for one iteration.
|
void |
Booster.update(DMatrix dtrain,
IObjective obj) |
Update with customize obj func
|