CRAN 5.2.5 (no h2o dep)

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: lares
 Type: Package
 Title: Analytics & Machine Learning Sidekick
-Version: 5.2.5.9005
+Version: 5.2.5
 Authors@R: c(
     person("Bernardo", "Lares", , "laresbernardo@gmail.com", c("aut", "cre")))
 Maintainer: Bernardo Lares <laresbernardo@gmail.com>
@@ -14,7 +14,6 @@ Depends:
 Imports:
     dplyr,
     ggplot2,
-    h2o,
     httr,
     jsonlite,
     lubridate,
@@ -33,13 +32,14 @@ Suggests:
     DALEX,
     googleAuthR,
     googlesheets4,
+    h2o,
     knitr,
     quantmod,
     rmarkdown
 URL: https://github.com/laresbernardo/lares, https://laresbernardo.github.io/lares/
 BugReports: https://github.com/laresbernardo/lares/issues
-VignetteBuilder: knitr
 RoxygenNote: 7.2.3
 License: AGPL-3
 Encoding: UTF-8
 LazyData: true
+Config/testthat/edition: 3

NAMESPACE

@@ -409,26 +409,6 @@ importFrom(graphics,plot)
 importFrom(graphics,points)
 importFrom(graphics,rasterImage)
 importFrom(graphics,rect)
-importFrom(h2o,as.h2o)
-importFrom(h2o,h2o.accuracy)
-importFrom(h2o,h2o.automl)
-importFrom(h2o,h2o.download_mojo)
-importFrom(h2o,h2o.download_pojo)
-importFrom(h2o,h2o.getModel)
-importFrom(h2o,h2o.getVersion)
-importFrom(h2o,h2o.glm)
-importFrom(h2o,h2o.import_mojo)
-importFrom(h2o,h2o.init)
-importFrom(h2o,h2o.loadModel)
-importFrom(h2o,h2o.no_progress)
-importFrom(h2o,h2o.performance)
-importFrom(h2o,h2o.predict)
-importFrom(h2o,h2o.predict_json)
-importFrom(h2o,h2o.removeAll)
-importFrom(h2o,h2o.saveModel)
-importFrom(h2o,h2o.show_progress)
-importFrom(h2o,h2o.varimp)
-importFrom(h2o,predict_contributions.H2OModel)
 importFrom(httr,GET)
 importFrom(httr,POST)
 importFrom(httr,add_headers)

R/lares.R

@@ -31,10 +31,10 @@
 #' update_geom_defaults xlab xlim ylab ylim
 #' @importFrom graphics box hist plot points rasterImage rect grid legend mtext
 #' @importFrom grDevices graphics.off dev.off png dev.size
-#' @importFrom h2o as.h2o h2o.automl h2o.accuracy h2o.getModel h2o.performance h2o.init
-#' h2o.removeAll h2o.download_mojo h2o.download_pojo h2o.loadModel h2o.no_progress h2o.predict
-#' h2o.predict_json h2o.saveModel h2o.varimp h2o.getVersion h2o.glm
-#' predict_contributions.H2OModel h2o.import_mojo h2o.no_progress h2o.show_progress
+# @importFrom h2o as.h2o h2o.automl h2o.accuracy h2o.getModel h2o.performance h2o.init
+# h2o.removeAll h2o.download_mojo h2o.download_pojo h2o.loadModel h2o.no_progress h2o.predict
+# h2o.predict_json h2o.saveModel h2o.varimp h2o.getVersion h2o.glm
+# predict_contributions.H2OModel h2o.import_mojo h2o.no_progress h2o.show_progress
 #' @importFrom httr GET POST oauth_endpoint oauth_app oauth1.0_token authenticate
 #' stop_for_status upload_file add_headers content http_error set_config config
 #' @importFrom jsonlite fromJSON toJSON flatten
@@ -105,6 +105,13 @@ recommended <- list(
     "sheets_auth", "read_sheet", "gs4_create", "range_write",
     "gs4_auth_configure", "gs4_auth", "sheet_append"
   ),
+  h2o = c(
+    "as.h2o", "h2o.automl", "h2o.accuracy", "h2o.getModel", "h2o.performance",
+    "h2o.init", "h2o.removeAll", "h2o.download_mojo", "h2o.download_pojo",
+    "h2o.loadModel", "h2o.no_progress", "h2o.predict", "h2o.predict_json",
+    "h2o.saveModel", "h2o.varimp", "h2o.getVersion", "h2o.glm",
+    "predict_contributions.H2OModel", "h2o.import_mojo", "h2o.no_progress",
+    "h2o.show_progress"),
   knitr = c("kable", "knit"),
   methods = "as",
   mice = c("mice", "complete"),

R/model_functions.R

@@ -141,6 +141,7 @@ h2o_automl <- function(df, y = "tag",
                        project = "AutoML Results",
                        verbosity = NULL,
                        ...) {
+  try_require("h2o")
   tic(id = "h2o_automl")
   on.exit(toc(id = "h2o_automl", msg = "Process duration:", quiet = quiet))