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rename xgboosterror

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This commit is contained in:
yanqingmen
2015-07-06 17:55:13 -07:00
parent f73bcd427d
commit 4d382a8cc1
15 changed files with 111 additions and 111 deletions
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4
java/xgboost4j-demo/src/main/java/org/dmlc/xgboost4j/demo/BasicWalkThrough.java
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@@ -31,7 +31,7 @@ import org.dmlc.xgboost4j.DMatrix;
import org.dmlc.xgboost4j.demo.util.DataLoader;
import org.dmlc.xgboost4j.demo.util.Params;
import org.dmlc.xgboost4j.util.Trainer;
import org.dmlc.xgboost4j.util.XgboostError;
import org.dmlc.xgboost4j.util.XGBoostError;
/**
* a simple example of java wrapper for xgboost
@@ -53,7 +53,7 @@ public class BasicWalkThrough {
}
public static void main(String[] args) throws UnsupportedEncodingException, IOException, XgboostError {
public static void main(String[] args) throws UnsupportedEncodingException, IOException, XGBoostError {
// load file from text file, also binary buffer generated by xgboost4j
DMatrix trainMat = new DMatrix("../../demo/data/agaricus.txt.train");
DMatrix testMat = new DMatrix("../../demo/data/agaricus.txt.test");

4
java/xgboost4j-demo/src/main/java/org/dmlc/xgboost4j/demo/BoostFromPrediction.java
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@@ -23,14 +23,14 @@ import org.dmlc.xgboost4j.Booster;
import org.dmlc.xgboost4j.DMatrix;
import org.dmlc.xgboost4j.demo.util.Params;
import org.dmlc.xgboost4j.util.Trainer;
import org.dmlc.xgboost4j.util.XgboostError;
import org.dmlc.xgboost4j.util.XGBoostError;
/**
* example for start from a initial base prediction
* @author hzx
*/
public class BoostFromPrediction {
public static void main(String[] args) throws XgboostError {
public static void main(String[] args) throws XGBoostError {
System.out.println("start running example to start from a initial prediction");
// load file from text file, also binary buffer generated by xgboost4j

4
java/xgboost4j-demo/src/main/java/org/dmlc/xgboost4j/demo/CrossValidation.java
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@@ -19,14 +19,14 @@ import java.io.IOException;
import org.dmlc.xgboost4j.DMatrix;
import org.dmlc.xgboost4j.util.Trainer;
import org.dmlc.xgboost4j.demo.util.Params;
import org.dmlc.xgboost4j.util.XgboostError;
import org.dmlc.xgboost4j.util.XGBoostError;
/**
* an example of cross validation
* @author hzx
*/
public class CrossValidation {
public static void main(String[] args) throws IOException, XgboostError {
public static void main(String[] args) throws IOException, XGBoostError {
//load train mat
DMatrix trainMat = new DMatrix("../../demo/data/agaricus.txt.train");

8
java/xgboost4j-demo/src/main/java/org/dmlc/xgboost4j/demo/CustomObjective.java
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@@ -27,7 +27,7 @@ import org.dmlc.xgboost4j.DMatrix;
import org.dmlc.xgboost4j.IObjective;
import org.dmlc.xgboost4j.demo.util.Params;
import org.dmlc.xgboost4j.util.Trainer;
import org.dmlc.xgboost4j.util.XgboostError;
import org.dmlc.xgboost4j.util.XGBoostError;
/**
* an example user define objective and eval
@@ -74,7 +74,7 @@ public class CustomObjective {
float[] labels;
try {
labels = dtrain.getLabel();
} catch (XgboostError ex) {
} catch (XGBoostError ex) {
logger.error(ex);
return null;
}
@@ -122,7 +122,7 @@ public class CustomObjective {
float[] labels;
try {
labels = dmat.getLabel();
} catch (XgboostError ex) {
} catch (XGBoostError ex) {
logger.error(ex);
return -1f;
}
@@ -140,7 +140,7 @@ public class CustomObjective {
}
}
public static void main(String[] args) throws XgboostError {
public static void main(String[] args) throws XGBoostError {
//load train mat (svmlight format)
DMatrix trainMat = new DMatrix("../../demo/data/agaricus.txt.train");
//load valid mat (svmlight format)

4
java/xgboost4j-demo/src/main/java/org/dmlc/xgboost4j/demo/ExternalMemory.java
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@@ -23,14 +23,14 @@ import org.dmlc.xgboost4j.Booster;
import org.dmlc.xgboost4j.DMatrix;
import org.dmlc.xgboost4j.demo.util.Params;
import org.dmlc.xgboost4j.util.Trainer;
import org.dmlc.xgboost4j.util.XgboostError;
import org.dmlc.xgboost4j.util.XGBoostError;
/**
* simple example for using external memory version
* @author hzx
*/
public class ExternalMemory {
public static void main(String[] args) throws XgboostError {
public static void main(String[] args) throws XGBoostError {
//this is the only difference, add a # followed by a cache prefix name
//several cache file with the prefix will be generated
//currently only support convert from libsvm file

4
java/xgboost4j-demo/src/main/java/org/dmlc/xgboost4j/demo/GeneralizedLinearModel.java
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@@ -24,7 +24,7 @@ import org.dmlc.xgboost4j.DMatrix;
import org.dmlc.xgboost4j.demo.util.CustomEval;
import org.dmlc.xgboost4j.demo.util.Params;
import org.dmlc.xgboost4j.util.Trainer;
import org.dmlc.xgboost4j.util.XgboostError;
import org.dmlc.xgboost4j.util.XGBoostError;
/**
* this is an example of fit generalized linear model in xgboost
@@ -32,7 +32,7 @@ import org.dmlc.xgboost4j.util.XgboostError;
* @author hzx
*/
public class GeneralizedLinearModel {
public static void main(String[] args) throws XgboostError {
public static void main(String[] args) throws XGBoostError {
// load file from text file, also binary buffer generated by xgboost4j
DMatrix trainMat = new DMatrix("../../demo/data/agaricus.txt.train");
DMatrix testMat = new DMatrix("../../demo/data/agaricus.txt.test");

4
java/xgboost4j-demo/src/main/java/org/dmlc/xgboost4j/demo/PredictFirstNtree.java
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@@ -25,14 +25,14 @@ import org.dmlc.xgboost4j.util.Trainer;
import org.dmlc.xgboost4j.demo.util.CustomEval;
import org.dmlc.xgboost4j.demo.util.Params;
import org.dmlc.xgboost4j.util.XgboostError;
import org.dmlc.xgboost4j.util.XGBoostError;
/**
* predict first ntree
* @author hzx
*/
public class PredictFirstNtree {
public static void main(String[] args) throws XgboostError {
public static void main(String[] args) throws XGBoostError {
// load file from text file, also binary buffer generated by xgboost4j
DMatrix trainMat = new DMatrix("../../demo/data/agaricus.txt.train");
DMatrix testMat = new DMatrix("../../demo/data/agaricus.txt.test");

4
java/xgboost4j-demo/src/main/java/org/dmlc/xgboost4j/demo/PredictLeafIndices.java
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@@ -24,14 +24,14 @@ import org.dmlc.xgboost4j.Booster;
import org.dmlc.xgboost4j.DMatrix;
import org.dmlc.xgboost4j.util.Trainer;
import org.dmlc.xgboost4j.demo.util.Params;
import org.dmlc.xgboost4j.util.XgboostError;
import org.dmlc.xgboost4j.util.XGBoostError;
/**
* predict leaf indices
* @author hzx
*/
public class PredictLeafIndices {
public static void main(String[] args) throws XgboostError {
public static void main(String[] args) throws XGBoostError {
// load file from text file, also binary buffer generated by xgboost4j
DMatrix trainMat = new DMatrix("../../demo/data/agaricus.txt.train");
DMatrix testMat = new DMatrix("../../demo/data/agaricus.txt.test");

4
java/xgboost4j-demo/src/main/java/org/dmlc/xgboost4j/demo/util/CustomEval.java
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@@ -19,7 +19,7 @@ import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.dmlc.xgboost4j.DMatrix;
import org.dmlc.xgboost4j.IEvaluation;
import org.dmlc.xgboost4j.util.XgboostError;
import org.dmlc.xgboost4j.util.XGBoostError;
/**
* a util evaluation class for examples
@@ -41,7 +41,7 @@ public class CustomEval implements IEvaluation {
float[] labels;
try {
labels = dmat.getLabel();
} catch (XgboostError ex) {
} catch (XGBoostError ex) {
logger.error(ex);
return -1f;
}