Comments (2)
hadjipantelis
commented on May 11, 2024
1
@OlehYashchuk: I think you have stumbled into a non-catboost issue. Using report <- train(x, as.factor(make.names(y)), method = 'rf') does produce NA values too, so clearly this is not catboost specific. I would recommend using the formula interface on first instance.
from catboost.
fearless-lark
commented on May 11, 2024
@hadjipantelis thank you for your attention.
Using of the formula interface really fixed the issue.
The following code works perfectly
library(caret)
library(titanic)
library(catboost)
set.seed(12345)
data <- as.data.frame(as.matrix(titanic_train), stringsAsFactors = TRUE)
drop_columns = c("PassengerId", "Survived", "Name", "Ticket", "Cabin", "Age")
x <- data[, !(names(data) %in% drop_columns)]
y <- data[, c("Survived")]
x.train <- cbind(as.factor(make.names(y)), x)
setnames(x.train, "as.factor(make.names(y))", "y")
report <- train(y~., data = x.train, method = catboost.caret)
from catboost.
Related Issues (20)
- Question for building ordered boosting tree
- Get difference tree result when converting cat_features to numerical values HOT 2
- Why does leaf value in plot tree is related to learning rate?
- How to recursive remove features by best loss ? HOT 2
- Issue with Categorical Feature Encoding in Binary Classification HOT 1
- Request to enable sample weights for Cox and AFT objectives HOT 1
- C++ standalone evaluator multiclass support HOT 1
- The results calculated according to the formula described in the doc are different from the results displayed by the model.
- Documentation: broken links HOT 1
- SetPredictionType(modelHandle, APT_CLASS) is broken HOT 1
- Where is the place for calculating the score function? HOT 2
- Build catboost python package with custom glibc HOT 3
- Custom RMSE loss in tutorial get difference tree structure with the original RMSE loss!!! HOT 3
- Tensor Search Helpers Should Be Unreachable HOT 8
- _catboost.CatBoostError: /src/catboost/catboost/libs/model/model.cpp:564: Too many features in model, ask catboost team for support HOT 3
- If multiple GPUs are present at server and devices parameter is set to specific GPU, catboost allocates GPU memory at other GPUs HOT 1
- Different results with Python and command line HOT 1
- PySpark ML CrossValidator cannot load serialized CrossValidator because it cannot find CatBoostRegressor class
- CatBoost for Apache Spark AUC eval metric not working as expected. HOT 3
- CatBoost throws an exception when dealing with a large dataset
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from catboost.