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Support RDS format in R package #91

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khrisanfov opened this Issue Aug 20, 2017 · 2 comments

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@khrisanfov

khrisanfov commented Aug 20, 2017

catboost.fit <- train(....)
head(predict(catboost.fit, X_test)) # it works fine
saveRDS(catboost.fit, "catboost.fit.rds")
catboost.fit <- readRDS("catboost.fit.rds")
head(predict(catboost.fit, X_test)) # caught segfault
*** caught segfault ***
address 0x48, cause 'memory not mapped'

Traceback:
1: .Call("CatBoostGetModelParams_R", model$handle)
2: catboost.get_model_params(modelFit)
3: method$predict(modelFit = modelFit, newdata = newdata, submodels = param)
4: predictionFunction(method = object$modelInfo, modelFit = object$finalModel,     newdata = newdata, preProc = object$preProcess)
5: predict.train(catboost.fit, X_test)
6: predict(catboost.fit, X_test)
7: head(predict(catboost.fit, X_test))
@a4tunado

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a4tunado commented Aug 20, 2017

RDS format is not supported yet. Use catboost.save_model and catboost.load_model instead.

@annaveronika annaveronika changed the title from R: Segfault on predict after loading from RDS format to Support RDS format in R package Aug 21, 2017

@annaveronika

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annaveronika commented Sep 13, 2018

This is implemented in our release 0.10

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