mlr3 and mlr3summary

`mlr3summary` is a complement to `mlr3`, providing specialized model summarization functionality that extends the core machine learning capabilities of `mlr3`.

mlr3
62
Established
mlr3summary
43
Emerging
Maintenance 17/25
Adoption 10/25
Maturity 16/25
Community 19/25
Maintenance 10/25
Adoption 4/25
Maturity 16/25
Community 13/25
Stars: 1,060
Forks: 96
Downloads:
Commits (30d): 9
Language: R
License: LGPL-3.0
Stars: 8
Forks: 2
Downloads:
Commits (30d): 0
Language: R
License: LGPL-3.0
No Package No Dependents
No Package No Dependents

About mlr3

mlr-org/mlr3

mlr3: Machine Learning in R - next generation

This tool helps data scientists and analysts in R build and evaluate machine learning models for classification, regression, and survival analysis. You provide your dataset, and it helps you train models and understand how well they perform. This is for R users who need to conduct rigorous machine learning experiments.

data-science predictive-modeling statistical-analysis machine-learning-workflow model-evaluation

About mlr3summary

mlr-org/mlr3summary

Model summaries for mlr3

This tool helps data scientists and machine learning practitioners quickly understand the performance and characteristics of their predictive models. You provide a trained machine learning model and its evaluation results, and it outputs a concise, informative summary including performance metrics, complexity, and feature importance. It's designed for anyone who needs to interpret and communicate their model's behavior.

predictive-modeling model-interpretation machine-learning-evaluation data-science model-reporting

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