[JVM] Add Iterator loading API
This commit is contained in:
parent
770b3451ca
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86871d4be9
@ -1 +1 @@
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Subproject commit 71360023dba458bdc9f1bc6f4309c1a107cb83a0
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Subproject commit 3f6ff43d3976d5b6d5001608b0e3e526ecde098f
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@ -12,6 +12,9 @@
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#endif
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// XGBoost C API will include APIs in Rabit C API
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XGB_EXTERN_C {
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#include <stdio.h>
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}
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#include <rabit/c_api.h>
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#if defined(_MSC_VER) || defined(_WIN32)
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@ -26,6 +29,51 @@ typedef unsigned long bst_ulong; // NOLINT(*)
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typedef void *DMatrixHandle;
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/*! \brief handle to Booster */
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typedef void *BoosterHandle;
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/*! \brief handle to a data iterator */
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typedef void *DataIterHandle;
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/*! \brief handle to a internal data holder. */
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typedef void *DataHolderHandle;
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/*! \brief Mini batch used in XGBoost Data Iteration */
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typedef struct {
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/*! \brief number of rows in the minibatch */
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size_t size;
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/*! \brief row pointer to the rows in the data */
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long* offset; // NOLINT(*)
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/*! \brief labels of each instance */
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float* label;
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/*! \brief weight of each instance, can be NULL */
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float* weight;
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/*! \brief feature index */
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int* index;
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/*! \brief feature values */
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float* value;
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} XGBoostBatchCSR;
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/*!
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* \brief Callback to set the data to handle,
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* \param handle The handle to the callback.
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* \param batch The data content to be setted.
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*/
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XGB_EXTERN_C typedef int XGBCallbackSetData(
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DataHolderHandle handle, XGBoostBatchCSR batch);
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/*!
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* \brief The data reading callback function.
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* The iterator will be able to give subset of batch in the data.
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*
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* If there is data, the function will call set_function to set the data.
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*
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* \param data_handle The handle to the callback.
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* \param set_function The batch returned by the iterator
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* \param set_function_handle The handle to be passed to set function.
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* \return 0 if we are reaching the end and batch is not returned.
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*/
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XGB_EXTERN_C typedef int XGBCallbackDataIterNext(
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DataIterHandle data_handle,
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XGBCallbackSetData* set_function,
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DataHolderHandle set_function_handle);
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/*!
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* \brief get string message of the last error
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@ -50,6 +98,20 @@ XGB_DLL int XGDMatrixCreateFromFile(const char *fname,
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int silent,
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DMatrixHandle *out);
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/*!
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* \brief Create a DMatrix from a data iterator.
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* \param data_handle The handle to the data.
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* \param callback The callback to get the data.
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* \param cache_info Additional information about cache file, can be null.
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* \param out The created DMatrix
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* \return 0 when success, -1 when failure happens.
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*/
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XGB_DLL int XGDMatrixCreateFromDataIter(
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DataIterHandle data_handle,
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XGBCallbackDataIterNext* callback,
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const char* cache_info,
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DMatrixHandle *out);
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/*!
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* \brief create a matrix content from csr format
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* \param indptr pointer to row headers
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@ -16,6 +16,7 @@
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package ml.dmlc.xgboost4j;
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import java.io.IOException;
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import java.util.Iterator;
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import org.apache.commons.logging.Log;
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import org.apache.commons.logging.LogFactory;
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@ -47,6 +48,33 @@ public class DMatrix {
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CSC;
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}
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/**
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* Create DMatrix from iterator.
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*
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* @param iter The data iterator of mini batch to provide the data.
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* @param cache_info Cache path information, used for external memory setting, can be null.
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* @throws XGBoostError
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*/
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public DMatrix(Iterator<DataBatch> iter, String cache_info) throws XGBoostError {
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if (iter == null) {
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throw new NullPointerException("iter: null");
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}
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try {
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logger.info(iter.getClass().getMethod("next").toString());
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} catch(NoSuchMethodException e) {
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logger.info(e.toString());
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}
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long[] out = new long[1];
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JNIErrorHandle.checkCall(XgboostJNI.XGDMatrixCreateFromDataIter(iter, cache_info, out));
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handle = out[0];
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}
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/**
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* Create DMatrix by loading libsvm file from dataPath
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*
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* @param dataPath The path to the data.
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* @throws XGBoostError
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*/
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public DMatrix(String dataPath) throws XGBoostError {
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if (dataPath == null) {
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throw new NullPointerException("dataPath: null");
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@ -56,6 +84,14 @@ public class DMatrix {
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handle = out[0];
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}
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/**
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* Create DMatrix from Sparse matrix in CSR/CSC format.
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* @param headers The row index of the matrix.
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* @param indices The indices of presenting entries.
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* @param data The data content.
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* @param st Type of sparsity.
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* @throws XGBoostError
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*/
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public DMatrix(long[] headers, int[] indices, float[] data, SparseType st) throws XGBoostError {
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long[] out = new long[1];
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if (st == SparseType.CSR) {
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@ -0,0 +1,43 @@
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package ml.dmlc.xgboost4j;
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/**
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* A mini-batch of data that can be converted to DMatrix.
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* The data is in sparse matrix CSR format.
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*
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* Usually this object is not needed.
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*
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* This class is used to support advanced creation of DMatrix from Iterator of DataBatch,
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*/
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public class DataBatch {
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/** The offset of each rows in the sparse matrix */
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long[] rowOffset = null;
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/** weight of each data point, can be null */
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float[] weight = null;
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/** label of each data point, can be null */
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float[] label = null;
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/** index of each feature(column) in the sparse matrix */
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int[] featureIndex = null;
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/** value of each non-missing entry in the sparse matrix */
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float[] featureValue = null;
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/**
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* Get number of rows in the data batch.
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* @return Number of rows in the data batch.
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*/
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public int numRows() {
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return rowOffset.length - 1;
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}
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/**
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* Shallow copy a DataBatch
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* @return a copy of the batch
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*/
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public DataBatch shallowCopy() {
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DataBatch b = new DataBatch();
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b.rowOffset = this.rowOffset;
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b.weight = this.weight;
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b.label = this.label;
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b.featureIndex = this.featureIndex;
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b.featureValue = this.featureValue;
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return b;
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}
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}
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@ -15,6 +15,7 @@
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*/
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package ml.dmlc.xgboost4j;
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/**
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* xgboost JNI functions
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* change 2015-7-6: *use a long[] (length=1) as container of handle to get the output DMatrix or Booster
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@ -26,6 +27,8 @@ class XgboostJNI {
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public final static native int XGDMatrixCreateFromFile(String fname, int silent, long[] out);
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public final static native int XGDMatrixCreateFromDataIter(java.util.Iterator<DataBatch> iter, String cache_info, long[] out);
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public final static native int XGDMatrixCreateFromCSR(long[] indptr, int[] indices, float[] data,
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long[] out);
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@ -27,6 +27,117 @@ void setHandle(JNIEnv *jenv, jlongArray jhandle, void* handle) {
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jenv->SetLongArrayRegion(jhandle, 0, 1, &out);
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}
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// global JVM
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static JavaVM* global_jvm = nullptr;
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// overrides JNI on load
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jint JNI_OnLoad(JavaVM *vm, void *reserved) {
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global_jvm = vm;
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return JNI_VERSION_1_6;
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}
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XGB_EXTERN_C int XGBoost4jCallbackDataIterNext(
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DataIterHandle data_handle,
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XGBCallbackSetData* set_function,
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DataHolderHandle set_function_handle) {
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jobject jiter = static_cast<jobject>(data_handle);
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JNIEnv* jenv;
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int jni_status = global_jvm->GetEnv((void **)&jenv, JNI_VERSION_1_6);
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if (jni_status == JNI_EDETACHED) {
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global_jvm->AttachCurrentThread(reinterpret_cast<void **>(&jenv), nullptr);
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} else {
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CHECK(jni_status == JNI_OK);
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}
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try {
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jclass iterClass = jenv->FindClass("java/util/Iterator");
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jmethodID hasNext = jenv->GetMethodID(iterClass,
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"hasNext", "()Z");
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jmethodID next = jenv->GetMethodID(iterClass,
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"next", "()Ljava/lang/Object;");
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int ret_value;
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if (jenv->CallBooleanMethod(jiter, hasNext)) {
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ret_value = 1;
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jobject batch = jenv->CallObjectMethod(jiter, next);
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jclass batchClass = jenv->GetObjectClass(batch);
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jlongArray joffset = (jlongArray)jenv->GetObjectField(
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batch, jenv->GetFieldID(batchClass, "rowOffset", "[J"));
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jfloatArray jlabel = (jfloatArray)jenv->GetObjectField(
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batch, jenv->GetFieldID(batchClass, "label", "[F"));
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jfloatArray jweight = (jfloatArray)jenv->GetObjectField(
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batch, jenv->GetFieldID(batchClass, "weight", "[F"));
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jintArray jindex = (jintArray)jenv->GetObjectField(
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batch, jenv->GetFieldID(batchClass, "featureIndex", "[I"));
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jfloatArray jvalue = (jfloatArray)jenv->GetObjectField(
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batch, jenv->GetFieldID(batchClass, "featureValue", "[F"));
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XGBoostBatchCSR cbatch;
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cbatch.size = jenv->GetArrayLength(joffset) - 1;
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cbatch.offset = jenv->GetLongArrayElements(joffset, 0);
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if (jlabel != nullptr) {
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cbatch.label = jenv->GetFloatArrayElements(jlabel, 0);
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CHECK_EQ(jenv->GetArrayLength(jlabel), static_cast<long>(cbatch.size))
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<< "batch.label.length must equal batch.numRows()";
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} else {
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cbatch.label = nullptr;
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}
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if (jweight != nullptr) {
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cbatch.weight = jenv->GetFloatArrayElements(jweight, 0);
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CHECK_EQ(jenv->GetArrayLength(jweight), static_cast<long>(cbatch.size))
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<< "batch.weight.length must equal batch.numRows()";
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} else {
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cbatch.weight = nullptr;
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}
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long max_elem = cbatch.offset[cbatch.size];
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cbatch.index = jenv->GetIntArrayElements(jindex, 0);
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cbatch.value = jenv->GetFloatArrayElements(jvalue, 0);
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CHECK_EQ(jenv->GetArrayLength(jindex), max_elem)
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<< "batch.index.length must equal batch.offset.back()";
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CHECK_EQ(jenv->GetArrayLength(jvalue), max_elem)
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<< "batch.index.length must equal batch.offset.back()";
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// cbatch is ready
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CHECK_EQ((*set_function)(set_function_handle, cbatch), 0)
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<< XGBGetLastError();
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// release the elements.
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jenv->ReleaseLongArrayElements(joffset, cbatch.offset, 0);
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jenv->DeleteLocalRef(joffset);
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if (jlabel != nullptr) {
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jenv->ReleaseFloatArrayElements(jlabel, cbatch.label, 0);
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jenv->DeleteLocalRef(jlabel);
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}
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if (jweight != nullptr) {
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jenv->ReleaseFloatArrayElements(jweight, cbatch.weight, 0);
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jenv->DeleteLocalRef(jweight);
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}
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jenv->ReleaseIntArrayElements(jindex, cbatch.index, 0);
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jenv->DeleteLocalRef(jindex);
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jenv->ReleaseFloatArrayElements(jvalue, cbatch.value, 0);
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jenv->DeleteLocalRef(jvalue);
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jenv->DeleteLocalRef(batch);
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jenv->DeleteLocalRef(batchClass);
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ret_value = 1;
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} else {
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ret_value = 0;
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}
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jenv->DeleteLocalRef(iterClass);
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// only detach if it is a async call.
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if (jni_status == JNI_EDETACHED) {
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global_jvm->DetachCurrentThread();
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}
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return ret_value;
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} catch(dmlc::Error e) {
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// only detach if it is a async call.
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if (jni_status == JNI_EDETACHED) {
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global_jvm->DetachCurrentThread();
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}
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LOG(FATAL) << e.what();
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return -1;
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}
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}
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/*
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* Class: ml_dmlc_xgboost4j_XgboostJNI
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* Method: XGBGetLastError
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* Signature: ()Ljava/lang/String;
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*/
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JNIEXPORT jstring JNICALL Java_ml_dmlc_xgboost4j_XgboostJNI_XGBGetLastError
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(JNIEnv *jenv, jclass jcls) {
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jstring jresult = 0;
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@ -37,6 +148,32 @@ JNIEXPORT jstring JNICALL Java_ml_dmlc_xgboost4j_XgboostJNI_XGBGetLastError
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return jresult;
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}
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/*
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* Class: ml_dmlc_xgboost4j_XgboostJNI
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* Method: XGDMatrixCreateFromDataIter
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* Signature: (Ljava/util/Iterator;Ljava/lang/String;[J)I
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*/
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JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_XgboostJNI_XGDMatrixCreateFromDataIter
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(JNIEnv *jenv, jclass jcls, jobject jiter, jstring jcache_info, jlongArray jout) {
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DMatrixHandle result;
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const char* cache_info = nullptr;
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if (jcache_info != nullptr) {
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cache_info = jenv->GetStringUTFChars(jcache_info, 0);
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}
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int ret = XGDMatrixCreateFromDataIter(
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jiter, XGBoost4jCallbackDataIterNext, cache_info, &result);
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if (cache_info) {
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jenv->ReleaseStringUTFChars(jcache_info, cache_info);
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}
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setHandle(jenv, jout, result);
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return ret;
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}
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/*
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* Class: ml_dmlc_xgboost4j_XgboostJNI
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* Method: XGDMatrixCreateFromFile
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* Signature: (Ljava/lang/String;I[J)I
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*/
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JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_XgboostJNI_XGDMatrixCreateFromFile
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(JNIEnv *jenv, jclass jcls, jstring jfname, jint jsilent, jlongArray jout) {
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DMatrixHandle result;
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@ -23,6 +23,14 @@ JNIEXPORT jstring JNICALL Java_ml_dmlc_xgboost4j_XgboostJNI_XGBGetLastError
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JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_XgboostJNI_XGDMatrixCreateFromFile
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(JNIEnv *, jclass, jstring, jint, jlongArray);
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/*
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* Class: ml_dmlc_xgboost4j_XgboostJNI
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* Method: XGDMatrixCreateFromDataIter
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* Signature: (Ljava/util/Iterator;Ljava/lang/String;[J)I
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*/
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JNIEXPORT jint JNICALL Java_ml_dmlc_xgboost4j_XgboostJNI_XGDMatrixCreateFromDataIter
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(JNIEnv *, jclass, jobject, jstring, jlongArray);
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/*
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* Class: ml_dmlc_xgboost4j_XgboostJNI
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* Method: XGDMatrixCreateFromCSR
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@ -28,6 +28,41 @@ import org.junit.Test;
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*/
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public class DMatrixTest {
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@Test
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public void testCreateFromDataIterator() throws XGBoostError {
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//create DMatrix from DataIterator
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/**
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* sparse matrix
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* 1 0 2 3 0
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* 4 0 2 3 5
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* 3 1 2 5 0
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*/
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DataBatch batch = new DataBatch();
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batch.featureIndex = new int[]{0, 2, 3, 0, 2, 3, 4, 0, 1, 2, 3};
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batch.featureValue = new float[]{1, 2, 3, 4, 2, 3, 5, 3, 1, 2, 5};
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batch.rowOffset = new long[]{0, 3, 7, 11};
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batch.label = new float[] {0.1f, 0.2f, 0.3f};
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java.util.ArrayList<Float> labelall = new java.util.ArrayList<Float>();
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int nrep = 3;
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java.util.List<DataBatch> blist = new java.util.LinkedList<DataBatch>();
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for (int i = 0; i < nrep; ++i) {
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batch.label = new float[] {0.1f+i, 0.2f+i, 0.3f+i};
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blist.add(batch.shallowCopy());
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for (float f : batch.label) {
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labelall.add(f);
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}
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}
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DMatrix dmat = new DMatrix(blist.iterator(), null);
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// get label
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float[] labels = dmat.getLabel();
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// get label
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TestCase.assertTrue(batch.label.length * nrep == labels.length);
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for (int i = 0; i < labels.length; ++i) {
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TestCase.assertTrue(labelall.get(i) == labels[i]);
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}
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}
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@Test
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public void testCreateFromFile() throws XGBoostError {
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//create DMatrix from file
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2
rabit
2
rabit
@ -1 +1 @@
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Subproject commit 1392e9f3da59bd5602ddebee944dd8fb5c6507b0
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Subproject commit be50e7b63224b9fb7ff94ce34df9f8752ef83043
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@ -19,7 +19,6 @@
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#include "../common/group_data.h"
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namespace xgboost {
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// booster wrapper for backward compatible reason.
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class Booster {
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public:
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@ -61,6 +60,113 @@ class Booster {
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std::unique_ptr<Learner> learner_;
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std::vector<std::pair<std::string, std::string> > cfg_;
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};
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// declare the data callback.
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XGB_EXTERN_C int XGBoostNativeDataIterSetData(
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void *handle, XGBoostBatchCSR batch);
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/*! \brief Native data iterator that takes callback to return data */
|
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class NativeDataIter : public dmlc::Parser<uint32_t> {
|
||||
public:
|
||||
NativeDataIter(DataIterHandle data_handle,
|
||||
XGBCallbackDataIterNext* next_callback)
|
||||
: at_first_(true), bytes_read_(0),
|
||||
data_handle_(data_handle), next_callback_(next_callback) {
|
||||
}
|
||||
|
||||
// override functions
|
||||
void BeforeFirst() override {
|
||||
CHECK(at_first_) << "cannot reset NativeDataIter";
|
||||
}
|
||||
|
||||
bool Next() override {
|
||||
if ((*next_callback_)(
|
||||
data_handle_,
|
||||
XGBoostNativeDataIterSetData,
|
||||
this) != 0) {
|
||||
at_first_ = false;
|
||||
return true;
|
||||
} else {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
const dmlc::RowBlock<uint32_t>& Value() const override {
|
||||
return block_;
|
||||
}
|
||||
|
||||
size_t BytesRead() const override {
|
||||
return bytes_read_;
|
||||
}
|
||||
|
||||
// callback to set the data
|
||||
void SetData(const XGBoostBatchCSR& batch) {
|
||||
offset_.clear();
|
||||
label_.clear();
|
||||
weight_.clear();
|
||||
index_.clear();
|
||||
value_.clear();
|
||||
offset_.insert(offset_.end(), batch.offset, batch.offset + batch.size + 1);
|
||||
if (batch.label != nullptr) {
|
||||
label_.insert(label_.end(), batch.label, batch.label + batch.size);
|
||||
}
|
||||
if (batch.weight != nullptr) {
|
||||
weight_.insert(weight_.end(), batch.weight, batch.weight + batch.size);
|
||||
}
|
||||
if (batch.index != nullptr) {
|
||||
index_.insert(index_.end(), batch.index + offset_[0], batch.index + offset_.back());
|
||||
}
|
||||
if (batch.value != nullptr) {
|
||||
value_.insert(value_.end(), batch.value + offset_[0], batch.value + offset_.back());
|
||||
}
|
||||
if (offset_[0] != 0) {
|
||||
size_t base = offset_[0];
|
||||
for (size_t& item : offset_) {
|
||||
item -= base;
|
||||
}
|
||||
}
|
||||
block_.size = batch.size;
|
||||
block_.offset = dmlc::BeginPtr(offset_);
|
||||
block_.label = dmlc::BeginPtr(label_);
|
||||
block_.weight = dmlc::BeginPtr(weight_);
|
||||
block_.index = dmlc::BeginPtr(index_);
|
||||
block_.value = dmlc::BeginPtr(value_);
|
||||
bytes_read_ += offset_.size() * sizeof(size_t) +
|
||||
label_.size() * sizeof(dmlc::real_t) +
|
||||
weight_.size() * sizeof(dmlc::real_t) +
|
||||
index_.size() * sizeof(uint32_t) +
|
||||
value_.size() * sizeof(dmlc::real_t);
|
||||
}
|
||||
|
||||
private:
|
||||
// at the beinning.
|
||||
bool at_first_;
|
||||
// bytes that is read.
|
||||
size_t bytes_read_;
|
||||
// handle to the iterator,
|
||||
DataIterHandle data_handle_;
|
||||
// call back to get the data.
|
||||
XGBCallbackDataIterNext* next_callback_;
|
||||
// internal offset
|
||||
std::vector<size_t> offset_;
|
||||
// internal label data
|
||||
std::vector<dmlc::real_t> label_;
|
||||
// internal weight data
|
||||
std::vector<dmlc::real_t> weight_;
|
||||
// internal index.
|
||||
std::vector<uint32_t> index_;
|
||||
// internal value.
|
||||
std::vector<dmlc::real_t> value_;
|
||||
// internal Rowblock
|
||||
dmlc::RowBlock<uint32_t> block_;
|
||||
};
|
||||
|
||||
int XGBoostNativeDataIterSetData(
|
||||
void *handle, XGBoostBatchCSR batch) {
|
||||
API_BEGIN();
|
||||
static_cast<xgboost::NativeDataIter*>(handle)->SetData(batch);
|
||||
API_END();
|
||||
}
|
||||
} // namespace xgboost
|
||||
|
||||
using namespace xgboost; // NOLINT(*);
|
||||
@ -95,6 +201,22 @@ int XGDMatrixCreateFromFile(const char *fname,
|
||||
API_END();
|
||||
}
|
||||
|
||||
int XGDMatrixCreateFromDataIter(
|
||||
void* data_handle,
|
||||
XGBCallbackDataIterNext* callback,
|
||||
const char *cache_info,
|
||||
DMatrixHandle *out) {
|
||||
API_BEGIN();
|
||||
|
||||
std::string scache;
|
||||
if (cache_info != nullptr) {
|
||||
scache = cache_info;
|
||||
}
|
||||
NativeDataIter parser(data_handle, callback);
|
||||
*out = DMatrix::Create(&parser, scache);
|
||||
API_END();
|
||||
}
|
||||
|
||||
int XGDMatrixCreateFromCSR(const bst_ulong* indptr,
|
||||
const unsigned *indices,
|
||||
const float* data,
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user