aps2020 VS evalml

Compare aps2020 vs evalml and see what are their differences.

aps2020

Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics (by majianthu)
variable-selection feature-selection variable-importance feature-engineering copula-entropy mutual-information distance-correlation hsic
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evalml

EvalML is an AutoML library written in python. (by alteryx)
Automl Machine Learning Data Science model-selection hyperparameter-tuning Optimization feature-engineering feature-selection
Source Code
evalml.alteryx.com
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aps2020 evalml
2 2
17 712
- 2.9%
0.0 8.7
almost 2 years ago 4 days ago
R Python
GNU General Public License v3.0 only BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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aps2020

Posts with mentions or reviews of aps2020. We have used some of these posts to build our list of alternatives and similar projects.

evalml

Posts with mentions or reviews of evalml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-19.

What are some alternatives?

When comparing aps2020 and evalml you can also consider the following projects:

vip - Variable Importance Plots (VIPs)

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.

dcor - Distance correlation and related E-statistics in Python

easyopt - zero-code hyperparameters optimization framework

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

SAP-HANA-AutoML - Python Automated Machine Learning library for tabular data.

Auto_ViML - Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

powershap - A power-full Shapley feature selection method.

llm_optimize - LLM Optimize is a proof-of-concept library for doing LLM (large language model) guided blackbox optimization.

FeatureHub - The most comprehensive library of AI/ML features across multiple domains. Our goal is to create a dataset that serves as a valuable resource for researchers and data scientists worldwide

aps2020 vs vip evalml vs Sklearn-genetic-opt aps2020 vs dcor evalml vs easyopt evalml vs Ray evalml vs mljar-supervised evalml vs SAP-HANA-AutoML evalml vs Auto_ViML evalml vs powershap evalml vs llm_optimize evalml vs FeatureHub