fix urls

R/data.R

@@ -2,21 +2,21 @@
 #'
 #' A list of the names of available datasets
 #'
-#' @source \url{https://github.com/EpistasisLab/penn-ml-benchmarks}
+#' @source \url{https://github.com/EpistasisLab/pmlb}
 "dataset_names"
 
 #' Names of available classification datasets
 #'
 #' A list of the names of available classification datasets
 #'
-#' @source \url{https://github.com/EpistasisLab/penn-ml-benchmarks}
+#' @source \url{https://github.com/EpistasisLab/pmlb}
 "classification_dataset_names"
 
 #' Names of available regression datasets
 #'
 #' A list of the names of available regression datasets
 #'
-#' @source \url{https://github.com/EpistasisLab/penn-ml-benchmarks}
+#' @source \url{https://github.com/EpistasisLab/pmlb}
 "regression_dataset_names"
 
 #' Summary statistics for the all datasets
@@ -35,5 +35,5 @@
 #'   \item{task:}{Type of problem/task. Can be classification or regression.}
 #' }
 #'
-#' @source \url{https://github.com/EpistasisLab/penn-ml-benchmarks}
+#' @source \url{https://github.com/EpistasisLab/pmlb}
 "summary_stats"

R/nearest.R

@@ -10,7 +10,7 @@
 #' @param n_neighbors Integer. The number of dataset names to return as neighbors.
 #' @param dimensions Character vector specifying dataset characteristics to include in similarity calculation.
 #' Dimensions must correspond to numeric columns of
-#' [all_summary_stats.tsv](https://github.com/EpistasisLab/penn-ml-benchmarks/blob/master/pmlb/all_summary_stats.tsv).
+#' [all_summary_stats.tsv](https://github.com/EpistasisLab/pmlb/blob/master/pmlb/all_summary_stats.tsv).
 #' If 'all' (default), uses all numeric columns.
 #' @param task Character string specifying classification or regression for summary stat generation.
 #' @param target_name Character string specifying column of target/dependent variable.

R/pmlb.R

@@ -93,7 +93,7 @@ fetch_data <- function(dataset_name, return_X_y = FALSE, local_cache_dir = NA, d
 
 #' pmlb: R interface to the Penn Machine Learning Benchmarks data repository
 #'
-#' The \href{https://github.com/EpistasisLab/penn-ml-benchmarks}{PMLB} repository contains a curated collection of data sets for evaluating and
+#' The \href{https://github.com/EpistasisLab/pmlb}{PMLB} repository contains a curated collection of data sets for evaluating and
 #' comparing machine learning algorithms.
 #' These data sets cover a range of applications, and include binary/multi-class classification problems and regression problems,
 #' as well as combinations of categorical, ordinal, and continuous features.  There are approximately 290 data sets included in the PMLB repository

data-raw/get-summary.R

@@ -1,4 +1,4 @@
-links_to_stats <- 'https://github.com/EpistasisLab/penn-ml-benchmarks/raw/master/pmlb/all_summary_stats.tsv'
+links_to_stats <- 'https://github.com/EpistasisLab/pmlb/raw/master/pmlb/all_summary_stats.tsv'
 summary_stats <- read.csv(links_to_stats, sep = '\t')
 colnames(summary_stats) <- tolower(gsub('X.', 'n_', colnames(summary_stats)))
 dataset_names <- summary_stats$dataset