Add dump_format=json option (#1726)
* Add format to the params accepted by DumpModel Currently, only the test format is supported when trying to dump a model. The plan is to add more such formats like JSON which are easy to read and/or parse by machines. And to make the interface for this even more generic to allow other formats to be added. Hence, we make some modifications to make these function generic and accept a new parameter "format" which signifies the format of the dump to be created. * Fix typos and errors in docs * plugin: Mention all the register macros available Document the register macros currently available to the plugin writers so they know what exactly can be extended using hooks. * sparce_page_source: Use same arg name in .h and .cc * gbm: Add JSON dump The dump_format argument can be used to specify what type of dump file should be created. Add functionality to dump gblinear and gbtree into a JSON file. The JSON file has an array, each item is a JSON object for the tree. For gblinear: - The item is the bias and weights vectors For gbtree: - The item is the root node. The root node has a attribute "children" which holds the children nodes. This happens recursively. * core.py: Add arg dump_format for get_dump()
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@@ -662,13 +662,14 @@ inline void XGBoostDumpModelImpl(
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BoosterHandle handle,
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const FeatureMap& fmap,
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int with_stats,
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const char *format,
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xgboost::bst_ulong* len,
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const char*** out_models) {
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std::vector<std::string>& str_vecs = XGBAPIThreadLocalStore::Get()->ret_vec_str;
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std::vector<const char*>& charp_vecs = XGBAPIThreadLocalStore::Get()->ret_vec_charp;
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Booster *bst = static_cast<Booster*>(handle);
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bst->LazyInit();
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str_vecs = bst->learner()->Dump2Text(fmap, with_stats != 0);
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str_vecs = bst->learner()->DumpModel(fmap, with_stats != 0, format);
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charp_vecs.resize(str_vecs.size());
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for (size_t i = 0; i < str_vecs.size(); ++i) {
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charp_vecs[i] = str_vecs[i].c_str();
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@@ -681,6 +682,14 @@ XGB_DLL int XGBoosterDumpModel(BoosterHandle handle,
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int with_stats,
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xgboost::bst_ulong* len,
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const char*** out_models) {
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XGBoosterDumpModelEx(handle, fmap, with_stats, "text", len, out_models);
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}
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XGB_DLL int XGBoosterDumpModelEx(BoosterHandle handle,
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const char* fmap,
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int with_stats,
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const char *format,
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xgboost::bst_ulong* len,
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const char*** out_models) {
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API_BEGIN();
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FeatureMap featmap;
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if (strlen(fmap) != 0) {
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@@ -689,7 +698,7 @@ XGB_DLL int XGBoosterDumpModel(BoosterHandle handle,
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dmlc::istream is(fs.get());
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featmap.LoadText(is);
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}
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XGBoostDumpModelImpl(handle, featmap, with_stats, len, out_models);
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XGBoostDumpModelImpl(handle, featmap, with_stats, format, len, out_models);
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API_END();
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}
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@@ -700,12 +709,23 @@ XGB_DLL int XGBoosterDumpModelWithFeatures(BoosterHandle handle,
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int with_stats,
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xgboost::bst_ulong* len,
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const char*** out_models) {
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XGBoosterDumpModelExWithFeatures(handle, fnum, fname, ftype, with_stats,
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"text", len, out_models);
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}
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XGB_DLL int XGBoosterDumpModelExWithFeatures(BoosterHandle handle,
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int fnum,
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const char** fname,
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const char** ftype,
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int with_stats,
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const char *format,
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xgboost::bst_ulong* len,
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const char*** out_models) {
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API_BEGIN();
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FeatureMap featmap;
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for (int i = 0; i < fnum; ++i) {
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featmap.PushBack(i, fname[i], ftype[i]);
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}
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XGBoostDumpModelImpl(handle, featmap, with_stats, len, out_models);
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XGBoostDumpModelImpl(handle, featmap, with_stats, format, len, out_models);
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API_END();
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}
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