0ee11dac77
Following classes are added to support dataframe in java binding: - `Column` is an abstract type for a single column in tabular data. - `ColumnBatch` is an abstract type for dataframe. - `CuDFColumn` is an implementaiton of `Column` that consume cuDF column - `CudfColumnBatch` is an implementation of `ColumnBatch` that consumes cuDF dataframe. - `DeviceQuantileDMatrix` is the interface for quantized data. The Java implementation mimics the Python interface and uses `__cuda_array_interface__` protocol for memory indexing. One difference is on JVM package, the data batch is staged on the host as java iterators cannot be reset. Co-authored-by: jiamingy <jm.yuan@outlook.com>
26 lines
741 B
C++
26 lines
741 B
C++
//
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// Created by bobwang on 2021/9/8.
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//
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#ifndef XGBOOST_USE_CUDA
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#include <jni.h>
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#include "../../../../src/common/common.h"
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#include "../../../../src/c_api/c_api_error.h"
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namespace xgboost {
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namespace jni {
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XGB_DLL int XGDeviceQuantileDMatrixCreateFromCallbackImpl(JNIEnv *jenv, jclass jcls,
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jobject jiter,
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jfloat jmissing,
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jint jmax_bin, jint jnthread,
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jlongArray jout) {
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API_BEGIN();
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common::AssertGPUSupport();
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API_END();
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}
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} // namespace jni
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} // namespace xgboost
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#endif // XGBOOST_USE_CUDA
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