Comments (2)
I think we do here, no?
TabPFN/tabpfn/priors/flexible_categorical.py
Line 209 in 889fad7
The idea is to remove datasets which have different subsets of classes in the train and test split.
from tabpfn.
indeed, you are right, my bad!
from tabpfn.
Related Issues (20)
- Error in cross entropy loss calculation 160/train.py
- model does not support gradient calculation if no_grad = False? HOT 1
- What purpose does remove_models_from_memory serve? HOT 1
- ConnectionError: ('Connection aborted.', RemoteDisconnected('Remote end closed connection without response')) HOT 1
- PytorchStreamReader failed reading zip archive: failed finding central directory
- Trying to understand hyper-parameter curation
- Bag prior weights HOT 2
- How to get row/sample embeddings? HOT 1
- Potential issue in sampling choice variables HOT 1
- Meaning of mix_activations
- remove_outliers sets imbalanced categorical features to constants HOT 1
- training tabpfn HOT 1
- Best practices - your code HOT 1
- The variable "single_eval_position" has a chance of being zero. HOT 2
- Some doubts about TABPFN Training in Section E.3 of the paper HOT 3
- Innovating on the model HOT 1
- EnsembleTabPFN for bigger than 1000 rows dataset HOT 1
- UserWarning from torch.utils.checkpoint
- path_ = 'prior_tuning_result.pkl',Where did this document come from??
- Duplicated datasets in test
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 tabpfn.