I have bunch of models saved as .rds, after reading all models and I use the predict function in loop on test data, showing error on predict method, but using individual model is working. (model are built using mlr package)
I read all models from a folder and use lapply on the test data,
files = list.files(path = 'C:/rf_models', pattern = '\\.rds$', full.names = TRUE)
read_models <- do.call("rbind", lapply(files, readRDS))
print(lapply(read_models, function (x) predict(x, newdata = as.data.frame(test_data))))
its showing below Error and opening a Browse[1]> in console
Error in UseMethod("predict") :
no applicable method for 'predict' applied to an object of class "c('FilterWrapper', 'BaseWrapper', 'Learner')"
Called from: predict(x, newdata = as.data.frame(test_data))
Browse[1]>
Even if I use for loop
for (i in 1:80){
pred_models <- predict(read_models[[i]], newdata = as.data.frame(test_data))
}
also showing
Error in UseMethod("predict") :
no applicable method for 'predict' applied to an object of class "c('FilterWrapper', 'BaseWrapper', 'Learner')"
All done in same R script where mlr library I already loaded
if I read model individually, it is working
model <- readRDS("C:/rf_models/rf_models_31.rds")
prediction <- predict(model, newdata = as.data.frame(test_data))
prediction
Prediction: 1 observations
predict.type: prob
threshold: 0=0.50,1=0.50
time: 0.03
truth prob.0 prob.1 response
1 0 0.12 0.88 1
I expect the pred_models to have all the predictions stored.
do.call("rbind")
does good things here. Why don't you use a simple lapply here? – pat-s