Open vidarsumo opened 2 years ago
I'm trying to tune sample_size for Catboost but it gives an error:
library(modeltime) library(treesnip) #> Loading required package: parsnip library(tidyverse) library(tidymodels) #> Registered S3 method overwritten by 'tune': #> method from #> required_pkgs.model_spec parsnip library(timetk) library(catboost) m750_lag <- m750 %>% tk_augment_lags(value, .lags = 1:2) resamples_kfold <- vfold_cv(m750_lag, v = 3) recipe_spec <- recipe(value ~ ., data = m750_lag) %>% update_role(date, new_role = "indicator") model_spec_catboost <- boost_tree( mode = "regression", trees = tune(), min_n = tune(), tree_depth = tune(), learn_rate = tune(), sample_size = tune() ) %>% set_engine("catboost") wflw_catboost <- workflow() %>% add_model(model_spec_catboost) %>% add_recipe(recipe_spec) grid_latin_hypercube(wflw_catboost) #> # A tibble: 3 x 4 #> trees min_n tree_depth learn_rate #> <int> <int> <int> <dbl> #> 1 315 22 5 0.0188 #> 2 1245 4 13 0.00000000648 #> 3 1421 34 8 0.0000360 catboost_tuned <- tune_grid( object = wflw_catboost, resamples = resamples_kfold, param_info = parameters(wflw_catboost) %>% update(sample_size = sample_prop(range = c(0, 1))), grid = 3, control = control_grid(verbose = TRUE) ) #> Error: At least one parameter does not match any id's in the set: 'sample_size'
Created on 2021-09-11 by the reprex package (v2.0.1)
I came across this issue as well, I wonder if its related to #22 because it seems to affect lightgbm as well.
I'm trying to tune sample_size for Catboost but it gives an error:
Created on 2021-09-11 by the reprex package (v2.0.1)