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autokeras
View on CRAN: Click
here
Download and install autokeras package within the R console
Install from CRAN:
install.packages("autokeras")
Install from Github:
library("remotes")
install_github("cran/autokeras")
Install by package version:
library("remotes")
install_version("autokeras", "1.0.12")
Attach the package and use:
library("autokeras")
Maintained by
Juan Cruz Rodriguez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-20
Latest Update: 2021-01-17
Description:
R Interface to 'AutoKeras' .
'AutoKeras' is an open source software library for Automated Machine
Learning (AutoML). The ultimate goal of AutoML is to provide easily
accessible deep learning tools to domain experts with limited data science
or machine learning background. 'AutoKeras' provides functions to
automatically search for architecture and hyperparameters of deep
learning models.
How to cite:
Juan Cruz Rodriguez (2020). autokeras: R Interface to 'AutoKeras'. R package version 1.0.12, https://cran.r-project.org/web/packages/autokeras. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.1 (2020-02-20 10:50)
Other packages that cited autokeras R package
View autokeras citation profile
Other R packages that autokeras depends,
imports, suggests or enhances
Complete documentation for autokeras
Functions, R codes and Examples using
the autokeras R package
Some associated functions: AutokerasModel-class . autokeras-package . evaluate . export_model . fit . install_autokeras . model_image_classifier . model_image_regressor . model_structured_data_classifier . model_structured_data_regressor . model_text_classifier . model_text_regressor . predict .
Some associated R codes: autokeras_model_class.R . evaluate.R . export_model.R . fit.R . install_autokeras.R . model_image_classifier.R . model_image_regressor.R . model_structured_data_classifier.R . model_structured_data_regressor.R . model_text_classifier.R . model_text_regressor.R . package.R . predict.R . Full autokeras package functions and examples
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