Comments (2)
ExpandingMan
commented on May 18, 2024
1
Sorry, I seem to have gotten myself confused somehow... I thought I had reproduced the problem and indeed the error above was real, but today I went to try to reproduce it to report back here and I can't. At this point I'm not sure if this is a mistake on my end, an intermittent (or hardware dependent) issue in libxgboost or a bug in the Julia wrapper. Now I am kicking myself for not saving exactly what I did to get the error above. I will try to think of some other way of reproducing the error and report back here if I can find it.
from xgboost.
trivialfis
commented on May 18, 2024
It should be the right way. I don't know why there's an error(assuming you have trained the model before serialization). Will look into it, is there an easy way that I can reproduce?
from xgboost.
Related Issues (20)
- `rank:pairwise` conflict with `ndcg_exp_gain` = `False` HOT 5
- An error occurred: jemalloc unsupported system page size HOT 2
- Make external CUDA stream wait.
- Docs on params and Python tutorial for regression HOT 1
- Docs for custom objectives could cover more details HOT 9
- Which one is `y_true` when I use a custom loss for regression mode. HOT 3
- Missing XGBoostRanker in xgboost4j-spark jvm package HOT 3
- multi label support in Scala xgboost. HOT 8
- SparkXGBClassifier does not validate params HOT 6
- feature_weights only compatible with CPU ? HOT 1
- Improve XGBoost quantile predictions HOT 3
- Latest version training crashes HOT 12
- Error when trying to build HOT 4
- Model provides different results for different Python versions HOT 2
- error in the docs for ranking HOT 1
- Defining a callback to write hessians of train observations to a csv file HOT 2
- Slow inference on sphoradic stremaing data HOT 2
- XGBoost GPU Warning When Working with BayesSearchCV (XGBoost is running on: cuda:0, while the input data is on: cpu.)
- help installing xgboost with gpu HOT 2
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 xgboost.