mlr3 Book
Marc Becker et al
The mlr3 (Lang et al. 2019) package and ecosystem provide a generic, object-oriented, and extensible framework for classification, regression, survival analysis, and other machine learning tasks
for the R language (R Core Team 2019). This unified interface provides functionality to
extend and combine existing learners, intelligently select and tune the most appropriate technique
for a task, and perform large-scale comparisons that enable meta-learning. Examples of this advanced functionality include hyperparameter tuning and feature selection. Parallelization of many
operations is natively supported.
for the R language (R Core Team 2019). This unified interface provides functionality to
extend and combine existing learners, intelligently select and tune the most appropriate technique
for a task, and perform large-scale comparisons that enable meta-learning. Examples of this advanced functionality include hyperparameter tuning and feature selection. Parallelization of many
operations is natively supported.
The book is not a hand's-on guide nor a practical machine learning book, is a manual containing all angles and aspects of the package in order to use it.
సంవత్సరం:
2021
భాష:
english
పేజీల సంఖ్య:
280
ISBN 10:
0387475095
ISBN 13:
9780387475097
ఫైల్:
PDF, 2.85 MB
IPFS:
,
english, 2021
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