llm4regression
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update (by robertvacareanu)
ols_regression
OLS regression with possibility of controlling for fixed effects and robust standard errors (by calosor)
| llm4regression | ols_regression | |
|---|---|---|
| 3 | 1 | |
| 93 | 0 | |
| - | - | |
| 8.6 | 1.9 | |
| 29 days ago | about 1 year ago | |
| Python | Python | |
| - | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
llm4regression
Posts with mentions or reviews of llm4regression.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-13.
-
LLM Is a Capable Regressor When Given In-Context Examples
If you're interested in exploring other metrics, the output of the models and code examples for how to read them are available at: https://github.com/robertvacareanu/llm4regression/tree/main/...
For example:
ols_regression
Posts with mentions or reviews of ols_regression.
We have used some of these posts to build our list of alternatives
and similar projects.
-
OLS regression on Python with Fixed effects and robust std. errors
Here the link: https://github.com/calosor/ols_regression
What are some alternatives?
When comparing llm4regression and ols_regression you can also consider the following projects:
twostage_regress - 2SLS IV regression with Python
Bayesian-Marketing-Mix-Modeling - The project analyses the impact of different marketing tactics on the sales of items. The problem is a multivariate-modeling problem as there are 3 different tactics of marketing. Since, the impact of marketing medium cannot be negative we will be using Bayesian model for regression.