gmr
Gaussian Mixture Regression (by AlexanderFabisch)
lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning (by shankarpandala)
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| gmr | lazypredict | |
|---|---|---|
| 1 | 3 | |
| 156 | 2,682 | |
| - | - | |
| 2.1 | 0.0 | |
| 12 months ago | 3 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | 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.
gmr
Posts with mentions or reviews of gmr.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Conducting Regression on a Multimodal Distributed Dependent Variable
I have attempted Gaussian Mixtures and also tried this the following library which was promising (https://github.com/AlexanderFabisch/gmr). The challenge was interpreting results given the clusters.
lazypredict
Posts with mentions or reviews of lazypredict.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-27.
- [D] Looking for github package testing many decision tree models - it exists but I can't find it in my browser history
- Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
-
LazyText
LazyText is inspired b the idea of lazypredict, a library which helps build a lot of basic models without much code. LazyText is for text what lazypredict is for numeric data.
What are some alternatives?
When comparing gmr and lazypredict you can also consider the following projects:
MLBox - MLBox is a powerful Automated Machine Learning python library.
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Machine-Learning - Implementation of different ML Algorithms from scratch, written in Python 3.x
AlphaPy - Python AutoML for Trading Systems and Sports Betting
LightAutoML - LAMA - automatic model creation framework
Genome - Genome Network Ala Neural Network
lazytext - LazyText is inspired by the idea of lazypredict, a library which helps build lot of basic models without much code. LazyText is for text what lazypredict is for numeric data.