Comments (5)
lhthien09
commented on June 3, 2024
Hi, thank you for your reviews.
-
About unused arguments, since the label argument was recently added for each
make_...()function, I hope that, after installing the package again, the problem will be tackled. -
catboost, since this library has not been yet available in CRAN, so you can follow this issue: installing catboost, and this trick works for MacOS :) :
devtools::install_url('https://github.com/catboost/catboost/releases/download/v0.26.1/catboost-R-Darwin-0.26.1.tgz', INSTALL_opts = c("--no-multiarch", "--no-test-load"))
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jeam-github
commented on June 3, 2024
Thanks for the reply.
Where is this new version of "forester" - it does not seem to be on CRAN?
… On 1/12/2021, at 2:36 AM, lhthien09 ***@***.***> wrote:
Hi, thank you for your reviews.
About unused arguments, since the label argument is recently added for each make_...() function, I hope that, after installing the package again, the problem will be tackled.
catboost, since this library has not been yet available in CRAN, so you can follow this issue: installing catboost <#11>, and this trick works for MacOS :) :
devtools::install_url('https://github.com/catboost/catboost/releases/download/v0.26.1/catboost-R-Darwin-0.26.1.tgz', INSTALL_opts = c("--no-multiarch", "--no-test-load"))
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lhthien09
commented on June 3, 2024
Thanks for your interest.
{forester} is still in the development stage, after receiving feedbacks and implementing further functionalities, {forester} will be shortly introduced on CRAN.
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lhthien09
commented on June 3, 2024
Thanks for the reply. Where is this new version of "forester" - it does not seem to be on CRAN?
…
On 1/12/2021, at 2:36 AM, lhthien09 @.***> wrote: Hi, thank you for your reviews. About unused arguments, since the label argument is recently added for each make_...() function, I hope that, after installing the package again, the problem will be tackled. catboost, since this library has not been yet available in CRAN, so you can follow this issue: installing catboost <#11>, and this trick works for MacOS :) : devtools::install_url('https://github.com/catboost/catboost/releases/download/v0.26.1/catboost-R-Darwin-0.26.1.tgz', INSTALL_opts = c("--no-multiarch", "--no-test-load")) — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#31 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ARDOYM4DKYCV4HXZ2OXEJELUOTHMHANCNFSM5IFKSOCA. Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.
We updated package in Github, so after downloading and installing {forester} again, the package should work now.
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jeam-github
commented on June 3, 2024
There is still a problem for me. What am I doing wrong (see below)
Jim McIntosh
devtools::install_url('https://github.com/catboost/catboost/releases/download/v0.26.1/catboost-R-Darwin-0.26.1.tgz', INSTALL_opts = c("--no-multiarch", "--no-test-load"))
Downloading package from url: https://github.com/catboost/catboost/releases/download/v0.26.1/catboost-R-Darwin-0.26.1.tgz
✔ checking for file ‘/private/var/folders/l2/bhymb90x589g_1y3mvwnx4hr0000gn/T/RtmpUp8hm8/remotes22141688a781/catboost/DESCRIPTION’ (538ms)
─ building ‘catboost_0.26.1.tar.gz’
ding ‘catboost_0.26.1.tar.gz’
* installing *source* package ‘catboost’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** checking absolute paths in shared objects and dynamic libraries
* DONE (catboost)
library(forester)
data("titanic", package = 'DALEX')
best_model <- forester(data = titanic,
+ target = "survived",
+ type = "classification",
+ metric = "precision",
+ tune = FALSE)
…__________________________
FORESTER
Program coerces factors into numeric values:
MECHANISM: no -> 1 and yes -> 0.
Original shape of train data frame: 1764 rows, 9 columns
_____________
NA values
percentage of NAs in data_train: 0.642479213907785%
NA values has been filled.
__________________________
CREATING MODELS
--- Ranger model has been created ---
Parameter 'cat_features' is meaningless because column types are taken from data.frame.
Please, convert categorical columns to factors manually.
--- Catboost model has been created ---
--- Xgboost model has been created ---
--- LightGBM model has been created ---
__________________________
COMPARISON
Error in update_data(m, data_test[, -which(names(data_test) == target)], :
could not find function "update_data"
On 13/12/2021, at 10:03 AM, lhthien09 ***@***.***> wrote:
Closed #31 <#31>.
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You are receiving this because you authored the thread.
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Related Issues (20)
- Is report() ready for use? LaTex failed to compile HOT 3
- The tutorial is obsolete HOT 2
- draw_feature_importance plot for classification is not working HOT 1
- The tutorial it doesn't work HOT 1
- forester: predicting house prices use case HOT 7
- The save() function and the principle of least surprise. HOT 1
- [BUG] Data check halts due to unexpected input HOT 4
- [ISSUE] Forester cannot train if preprocessed data is unsplittable HOT 3
- the target value is ERROR HOT 2
- Cannot install the package correctly HOT 2
- The report() bugs HOT 1
- feature request: check data returns list with outliers
- Report features
- Add info to save() documentation how to load saved file HOT 2
- Detailed Tutorials HOT 8
- vctors package returning error: Can't subset columns past the end. HOT 2
- lightgbm params HOT 1
- label must be provided when data is a matrix - XGBoost HOT 2
- train.R function does not work with engine = "xgboost" HOT 1
- tibble causes all colums to drop during pre_rm_static_cols cal HOT 1
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