linear-tree VS eli5

Compare linear-tree vs eli5 and see what are their differences.

linear-tree

A python library to build Model Trees with Linear Models at the leaves. (by cerlymarco)

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions (by TeamHG-Memex)
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linear-tree eli5
3 1
323 2,730
- 0.8%
0.0 0.0
11 months ago about 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT 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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linear-tree

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

eli5

Posts with mentions or reviews of eli5. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-01.

What are some alternatives?

When comparing linear-tree and eli5 you can also consider the following projects:

imodels - Interpretable ML package ๐Ÿ” for concise, transparent, and accurate predictive modeling (sklearn-compatible).

lime - Lime: Explaining the predictions of any machine learning classifier

python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository

ML-Workspace - ๐Ÿ›  All-in-one web-based IDE specialized for machine learning and data science.

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

course-nlp - A Code-First Introduction to NLP course

dtreeviz - A python library for decision tree visualization and model interpretation.

graph_summarizer - summarize text using graphs and language vector models

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

BigFivePersonality - The current project provides a Machine Learning trained model that is able to classify the trait with maximum value of the Big Five Personality Test, given the answers of this one.

mlforecast - Scalable machine ๐Ÿค– learning for time series forecasting.