Your English writing platform
Discover LudwigSuggestions(5)
Exact(7)
A few machine learning packages implement semi-automated model hyper-parameter selection.
Some of them are implemented in various machine learning packages, but many are not.
Table 2 provides an overview of four of the more comprehensive machine learning packages that run on Hadoop.
AZOrange complements already available machine learning packages by interfacing and customizing several state-of-the-art machine learning algorithms.
Despite the diversity of available machine learning packages, there is no package fulfilling all of the requirements on an Open Source state-of-the-art QSAR modeling platform.
The R package caret provides a common interface to the most popular machine learning packages that exist in R, and, as such, camb invokes caret to set up cross-validation frameworks and train machine learning models.
Similar(53)
Calling the algorithms was done using the Scikit-learn machine learning package [79, 80].
This paper describes the implementation of the Open Source machine learning package AZOrange.
We use the MALLET machine learning package (McCallum [2002]) which provides an open source implementation of LDA.
We employed information gain attribute evaluator, relief attribute evaluator, and correlation-based feature selection (CFS) from Weka machine learning package [62] for the gene selection.
Classification was done using Support Vector Machine classifiers as implemented in the WEKA machine learning package [ 27].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com