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pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

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for Nan or given missing value of 0.0f, how to correctly deal with it by xgboost of go version

github.com/dmitryikh/leaves v0.0.0-20230708180554-25d19a787328 predict 57.46251861844212 python xgboost=0.90 predict 10.252338 this predict is correct python xgboost=1.7.2 predict 57.462517 my xgb trained by xgboost=0.90 (leaves load xgboost will get error when version is...

panic: runtime error: makeslice: len out of range goroutine 1 [running]: github.com/dmitryikh/leaves/internal/xgbin.ReadString(0x140000940c0) go/pkg/mod/github.com/dmitryikh/[email protected]/internal/xgbin/xgbin_io.go:176 +0x68 github.com/dmitryikh/leaves/internal/xgbin.ReadModelHeader(0x140000940c0) go/pkg/mod/github.com/dmitryikh/[email protected]/internal/xgbin/xgbin_io.go:230 +0x6c github.com/dmitryikh/leaves.XGEnsembleFromReader(0x140000940c0, 0x1) go/pkg/mod/github.com/dmitryikh/[email protected]/xgensemble_io.go:140 +0x40 github.com/dmitryikh/leaves.XGEnsembleFromFile({0x1026945ce?, 0x102605838?}, 0x1) go/pkg/mod/github.com/dmitryikh/[email protected]/xgensemble_io.go:259 +0x138 main.main() Documents/code/GoAI/main.go:98 +0x40 exit...

Currently `only version=v3 is supported` v4 was released a while ago https://github.com/microsoft/LightGBM/releases/tag/v4.0.0 Latest version is v4.4 https://github.com/microsoft/LightGBM/releases/tag/v4.4.0