aps2020
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics (by majianthu)
dcor
Distance correlation and related E-statistics in Python (by vnmabus)
Our great sponsors
aps2020 | dcor | |
---|---|---|
2 | 1 | |
17 | 134 | |
- | - | |
0.0 | 7.7 | |
almost 2 years ago | 3 months ago | |
R | Python | |
GNU General Public License v3.0 only | MIT License |
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.
aps2020
Posts with mentions or reviews of aps2020.
We have used some of these posts to build our list of alternatives
and similar projects.
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[R] Feature selection algorithms for psychometric questions when the predicted variable is multi-dimensional?
try Copula Entropy for feature/variable selection. see my paper "Variable Selection with Copula Entropy". The code for the paper is at here, in which the R package 'copent' is used.
- [Q] Feature selection (>600 features)
dcor
Posts with mentions or reviews of dcor.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-07.
-
Highly used R packages with no Python equivalent
BreakoutDetection. I actually started doing something like this, and contributed a few things to the dcor library that could be used for the underlying e-statistics, but I never got around to implementing the whole thing.
What are some alternatives?
When comparing aps2020 and dcor you can also consider the following projects:
vip - Variable Importance Plots (VIPs)
python-binance - Binance Exchange API python implementation for automated trading
evalml - EvalML is an AutoML library written in python.
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
BreakoutDetection - Breakout Detection via Robust E-Statistics