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Description: don't use unpackaged jafama to compute exp, use Math instead
Author: Pierre Gruet <pgt@debian.org>
Forwarded: not-needed
Last-Update: 2022-03-27
--- a/xgboost-predictor/build.gradle
+++ b/xgboost-predictor/build.gradle
@@ -1,8 +1,6 @@
description = "Pure Java implementation of XGBoost predictor for online prediction tasks"
dependencies {
- compile group: 'net.jafama', name: 'jafama', version: '2.1.0'
-
testCompile project(':xgboost-predictor-test')
testCompile(group: 'junit', name: 'junit', version: '4.12') {
exclude group: 'org.hamcrest', module: 'hamcrest-core'
--- a/xgboost-predictor/src/main/java/biz/k11i/xgboost/learner/ObjFunction.java
+++ b/xgboost-predictor/src/main/java/biz/k11i/xgboost/learner/ObjFunction.java
@@ -1,7 +1,6 @@
package biz.k11i.xgboost.learner;
import biz.k11i.xgboost.config.PredictorConfiguration;
-import net.jafama.FastMath;
import java.io.Serializable;
import java.util.HashMap;
@@ -55,16 +54,9 @@
* or {@code false} if you don't want to use it but JDK's {@link Math#exp(double)}.
*/
public static void useFastMathExp(boolean useJafama) {
- if (useJafama) {
- register("binary:logistic", new RegLossObjLogistic_Jafama());
- register("reg:logistic", new RegLossObjLogistic_Jafama());
- register("multi:softprob", new SoftmaxMultiClassObjProb_Jafama());
-
- } else {
- register("binary:logistic", new RegLossObjLogistic());
- register("reg:logistic", new RegLossObjLogistic());
- register("multi:softprob", new SoftmaxMultiClassObjProb());
- }
+ register("binary:logistic", new RegLossObjLogistic());
+ register("reg:logistic", new RegLossObjLogistic());
+ register("multi:softprob", new SoftmaxMultiClassObjProb());
}
/**
@@ -112,18 +104,6 @@
}
/**
- * Logistic regression.
- * <p>
- * Jafama's {@link FastMath#exp(double)} version.
- * </p>
- */
- static class RegLossObjLogistic_Jafama extends RegLossObjLogistic {
- double sigmoid(double x) {
- return (1 / (1 + FastMath.exp(-x)));
- }
- }
-
- /**
* Multiclass classification.
*/
static class SoftmaxMultiClassObjClassify extends ObjFunction {
@@ -180,17 +160,4 @@
return Math.exp(x);
}
}
-
- /**
- * Multiclass classification (predicted probability).
- * <p>
- * Jafama's {@link FastMath#exp(double)} version.
- * </p>
- */
- static class SoftmaxMultiClassObjProb_Jafama extends SoftmaxMultiClassObjProb {
- @Override
- double exp(double x) {
- return FastMath.exp(x);
- }
- }
}
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