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This collection of examples will show you how you can use
tfestimators
to easily construct powerful models using TensorFlow.
# list all the .Rmd files we have files <- setdiff(list.files(pattern = "[.]Rmd$"), "index.Rmd") # extract DESCRIPTIONs from their front-matter descriptions <- sapply(files, function(file) { yaml <- rmarkdown::yaml_front_matter(file) yaml$description }) # construct markdown links examples <- sprintf( "[%s](%s)", tools::file_path_sans_ext(files), sprintf("%s.html", tools::file_path_sans_ext(files)) ) # construct dataset associating HTML link with description data <- data.frame( Example = examples, Description = descriptions, stringsAsFactors = FALSE, row.names = NULL ) # output as markdown table knitr::kable(data, format = "markdown", row.names = FALSE)
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