[jvm-packages] Implement new save_raw in jvm-packages. (#7570)
* New `toByteArray` that accepts a parameter for format.
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@ -683,5 +683,3 @@ private object Watches {
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new Watches(Array(trainMatrix, testMatrix), Array("train", "test"), cacheDirName)
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}
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}
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@ -1,5 +1,5 @@
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/*
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Copyright (c) 2014,2021 by Contributors
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Copyright (c) 2014-2022 by Contributors
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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@ -636,13 +636,27 @@ public class Booster implements Serializable, KryoSerializable {
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}
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/**
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* Save model into raw byte array. Currently it's using the deprecated format as
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* default, which will be changed into `ubj` in future releases.
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*
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* @return the saved byte array.
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* @return the saved byte array
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* @throws XGBoostError native error
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*/
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public byte[] toByteArray() throws XGBoostError {
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return this.toByteArray("deprecated");
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}
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/**
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* Save model into raw byte array.
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*
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* @param format The output format. Available options are "json", "ubj" and "deprecated".
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*
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* @return the saved byte array
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* @throws XGBoostError native error
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*/
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public byte[] toByteArray(String format) throws XGBoostError {
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byte[][] bytes = new byte[1][];
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XGBoostJNI.checkCall(XGBoostJNI.XGBoosterGetModelRaw(this.handle, bytes));
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XGBoostJNI.checkCall(XGBoostJNI.XGBoosterSaveModelToBuffer(this.handle, format, bytes));
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return bytes[0];
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}
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@ -1,5 +1,5 @@
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/*
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Copyright (c) 2014 by Contributors
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Copyright (c) 2014-2022 by Contributors
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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@ -107,7 +107,7 @@ class XGBoostJNI {
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public final static native int XGBoosterLoadModelFromBuffer(long handle, byte[] bytes);
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public final static native int XGBoosterGetModelRaw(long handle, byte[][] out_bytes);
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public final static native int XGBoosterSaveModelToBuffer(long handle, String format, byte[][] out_bytes);
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public final static native int XGBoosterDumpModelEx(long handle, String fmap, int with_stats,
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String format, String[][] out_strings);
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@ -1,5 +1,5 @@
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/*
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Copyright (c) 2014 by Contributors
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Copyright (c) 2014-2022 by Contributors
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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@ -301,6 +301,19 @@ class Booster private[xgboost4j](private[xgboost4j] var booster: JBooster)
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def getVersion: Int = booster.getVersion
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/**
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* Save model into a raw byte array. Available options are "json", "ubj" and "deprecated".
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*/
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@throws(classOf[XGBoostError])
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def toByteArray(format: String): Array[Byte] = {
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booster.toByteArray(format)
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}
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/**
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* Save model into a raw byte array. Currently it's using the deprecated format as
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* default, which will be changed into `ubj` in future releases.
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*/
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@throws(classOf[XGBoostError])
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def toByteArray: Array[Byte] = {
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booster.toByteArray
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}
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@ -662,20 +662,25 @@ JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_java_XGBoostJNI_XGBoosterLoadModel
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/*
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* Class: ml_dmlc_xgboost4j_java_XGBoostJNI
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* Method: XGBoosterGetModelRaw
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* Signature: (J[[B)I
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* Method: XGBoosterSaveModelToBuffer
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* Signature: (JLjava/lang/String;[[B)I
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*/
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JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_java_XGBoostJNI_XGBoosterGetModelRaw
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(JNIEnv * jenv, jclass jcls, jlong jhandle, jobjectArray jout) {
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JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_java_XGBoostJNI_XGBoosterSaveModelToBuffer
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(JNIEnv * jenv, jclass jcls, jlong jhandle, jstring jformat, jobjectArray jout) {
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BoosterHandle handle = (BoosterHandle) jhandle;
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const char *format = jenv->GetStringUTFChars(jformat, 0);
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bst_ulong len = 0;
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const char* result;
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int ret = XGBoosterGetModelRaw(handle, &len, &result);
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JVM_CHECK_CALL(ret);
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const char *result{nullptr};
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xgboost::Json config {xgboost::Object{}};
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config["format"] = std::string{format};
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std::string config_str;
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xgboost::Json::Dump(config, &config_str);
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int ret = XGBoosterSaveModelToBuffer(handle, config_str.c_str(), &len, &result);
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JVM_CHECK_CALL(ret);
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if (result) {
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jbyteArray jarray = jenv->NewByteArray(len);
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jenv->SetByteArrayRegion(jarray, 0, len, (jbyte*)result);
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jenv->SetByteArrayRegion(jarray, 0, len, (jbyte *)result);
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jenv->SetObjectArrayElement(jout, 0, jarray);
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}
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return ret;
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@ -209,11 +209,11 @@ JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_java_XGBoostJNI_XGBoosterLoadModel
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/*
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* Class: ml_dmlc_xgboost4j_java_XGBoostJNI
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* Method: XGBoosterGetModelRaw
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* Signature: (J[[B)I
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* Method: XGBoosterSaveModelToBuffer
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* Signature: (JLjava/lang/String;[[B)I
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*/
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JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_java_XGBoostJNI_XGBoosterGetModelRaw
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(JNIEnv *, jclass, jlong, jobjectArray);
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JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_java_XGBoostJNI_XGBoosterSaveModelToBuffer
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(JNIEnv *, jclass, jlong, jstring, jobjectArray);
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/*
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* Class: ml_dmlc_xgboost4j_java_XGBoostJNI
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@ -1,5 +1,5 @@
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/*
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Copyright (c) 2014-2021 by Contributors
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Copyright (c) 2014-2022 by Contributors
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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@ -115,7 +115,9 @@ public class BoosterImplTest {
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booster.saveModel(temp.getAbsolutePath());
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Booster bst2 = XGBoost.loadModel(temp.getAbsolutePath());
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assert (Arrays.equals(bst2.toByteArray(), booster.toByteArray()));
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assert (Arrays.equals(bst2.toByteArray("ubj"), booster.toByteArray("ubj")));
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assert (Arrays.equals(bst2.toByteArray("json"), booster.toByteArray("json")));
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assert (Arrays.equals(bst2.toByteArray("deprecated"), booster.toByteArray("deprecated")));
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float[][] predicts2 = bst2.predict(testMat, true, 0);
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TestCase.assertTrue(eval.eval(predicts2, testMat) < 0.1f);
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}
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@ -1,5 +1,5 @@
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/*
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Copyright (c) 2014 by Contributors
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Copyright (c) 2014-2022 by Contributors
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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@ -117,6 +117,7 @@ class ScalaBoosterImplSuite extends FunSuite {
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val bst2: Booster = XGBoost.loadModel(temp.getAbsolutePath)
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assert(java.util.Arrays.equals(bst2.toByteArray, booster.toByteArray))
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assert(java.util.Arrays.equals(bst2.toByteArray("ubj"), booster.toByteArray("ubj")))
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val predicts2: Array[Array[Float]] = bst2.predict(testMat, true, 0)
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TestCase.assertTrue(eval.eval(predicts2, testMat) < 0.1f)
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}
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