Comments (4)
Hi @JIE-YUAN ! Can you please share the motivation behind your request to support batch prediction? The existing API can be used in batch fashion pretty easily.
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Online batch prediction service
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@JIE-YUAN the question is rather why existing API doesn't work for you? Can you perhaps provide some examples how you use the library?
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Closing this due to lack of clear use case and problem description.
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Related Issues (20)
- The converted C model compiles very slow,how can i fix it?
- Unable to export LGBM model that uses `categorical_feature` HOT 2
- Convert ML model to c# HOT 2
- Issue with xgboost export in python: not same values splits HOT 1
- Getting predict_prob when convert m2cgen to different languages
- Feature Request: support for multioutput regression HOT 1
- Process ended with exit code -1073741571 (0xC00000FD) HOT 1
- Results dont match
- Add Fortran
- LightGBM models
- Unable to export code from XGBoost 1.7.5 models HOT 6
- How to use model for jpg photo?
- Issue while Exporting a LightGBM Model to C#
- XGBoost exported to C generates wrong indices for input array
- Logitraw objective function ignored for xgb.Booster
- Cannot export XGBClassifier model: TypeError: unsupported operand type(s) for /: 'float' and 'NoneType' HOT 4
- Memory overflow in program run after compilation of C code transformed by the xgboost model HOT 1
- Cannot export XGBClassifier model: TypeError: unsupported operand type(s) for *: 'int' and 'NoneType'
- XGBoost GCC Memory Allocation Error: cc1plus.exe: out of memory allocating 65536 bytes
- xgbmodel is larger than 500M, convert to c, always Segmentation fault
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