-
(splitting out a request from #386 )
LogisticRegression currently only supports binary classification (the multi_class argument is ignored). This feature request is to add multi-class support!
-
This is an example for glmnet but this should probably apply to all models/engines.
For glmnet, `multi_predict()` currently ignores `type = "raw"` when applied to a linear regression, but errors (i…
-
Sorry for the delay getting back to you. As a term paper, it's outstanding (as reflected in your grade). Thinking about this in terms of your thesis, I don't like the multinomial modeling approach you…
-
Hi,
I was just using the code to do a regularized multinomial logistic regression where each instance's label is a probability distribution over all labels and the design matrix X is sparse.
I found …
-
### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Gemini Generated Essays Analysis
:red_circle: **Aim** : The aim of this project is to analyze the essays generated by G…
-
### Description
Adding new regression procedures
### Purpose
_No response_
### Use-case
Useful in situations with small datasets, in which separation is likely to be a problem
### Is your featur…
-
Many data science tasks in require fitting a logistic regression on continuous data. Examples include business cycle prediction and many other economics tasks, power curves for wind turbines, and popu…
-
Hello there!
I hope all is well during these difficult times! I was playing with the great `quanteda` and discovered the nice `textmodel_svm` classification model. However, contrary to `textmodel_n…
-
Hi!
I want to change `multinomial cross entropy loss for affordance detection branch based on softmax` into `binary cross entropy loss based on sigmod`, how can I do?
I try to change `train.prot…
-
**Have you checked the [list of proposed rules](https://github.com/Benjamin-Lee/deep-rules/issues?q=is%3Aissue+is%3Aopen+label%3Arule) to see if the rule has already been proposed?**
- [x] Yes
…
rasbt updated
5 years ago