remove x-axis in bar graph, edited comments, added some packages

Author: ercbk

README.Rmd

@@ -90,6 +90,7 @@ durations <- raschka + kj +
                       subtitle = "minutes") &
       theme(text = element_text(family = "Roboto"),
             axis.ticks = element_blank(),
+            axis.text.x = element_blank(),
             panel.background = element_rect(fill = "ivory",
                                             colour = "ivory"),
             plot.background = element_rect(fill = "ivory"),
@@ -101,7 +102,6 @@ durations <- raschka + kj +
 durations
 
 
-
 ```
 
 

README_files/figure-gfm/unnamed-chunk-1-1.png

@@ -7,7 +7,6 @@
 
 # Notes
 # 1.  *** Make sure the target column is last in dataframe ***
-# 2. Starts the MLflow server in the background with a OS command and kills the server process at the end of the script
 
 
 # Sections
@@ -25,7 +24,7 @@
 # Set-up
 ################################
 
-
+# text me if an error occurs
 options(error = function() { 
    library(RPushbullet)
    pbPost("note", "Error", geterrmessage())

duration-experiment/kuhn-johnson/nested-cv-tune-kj.R

@@ -3,10 +3,11 @@
 
 pacman::p_load(tibble, dplyr, tidyr, gt)
 
-runs_raw <- readr::read_rds("R/Projects/nested-cross-validation-comparison/data/duration-runs.rds") %>%
+runs_raw <- readr::read_rds("data/duration-runs.rds") %>%
       mutate(implementation = stringr::str_to_title(implementation))
 
 
+# hardcoded
 # packages used for the model functions ordered by implementation in the runs_raw file
 elast_net <- c("sklearn", "sklearn", "parsnip-glmnet", "mlr-glmnet", "parsnip-glmnet", "h2o", "parsnip-glmnet", "parsnip-glmnet", "parsnip-glmnet")
 rand_forest <- c("sklearn", "sklearn", "ranger", "mlr-ranger", "parsnip-ranger", "h2o", "sklearn", "parsnip-ranger", "ranger")

duration-experiment/package-sources-gt-tbl.R

@@ -29,6 +29,7 @@
 #####################################################
 
 
+# texts me when there's an error
 options(error = function() { 
       library(RPushbullet)
       pbPost("note", "Error", geterrmessage())

duration-experiment/raschka/nested-cv-mlr3-raschka.R

@@ -5,7 +5,7 @@
 # python
 
 
-# Notes
+#  Notes
 # 1. *** make sure target variable is the last variable in the data.frame ***
 # 2. Hyperparameter values were generated from the R package dials and saved to pickle format through reticulate
 # 3. Data was simulated by R package mlbench and saved in pickle format through reticulate
@@ -30,6 +30,7 @@
 
 
 
+
 ###################################
 # Set-up
 ###################################

duration-experiment/raschka/nested-cv-py-raschka.py

@@ -77,6 +77,13 @@
       "Repository": "CRAN",
       "Hash": "1fdc9b3adfe2e2f8f77c22a59cf322ec"
     },
+    "ModelMetrics": {
+      "Package": "ModelMetrics",
+      "Version": "1.2.2.1",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Hash": "f0d8132eac48aeead07b3a7d5056d059"
+    },
     "R6": {
       "Package": "R6",
       "Version": "2.4.1",
@@ -210,6 +217,13 @@
       "Repository": "CRAN",
       "Hash": "f3c7c37950ae9a772b3676e4c172f978"
     },
+    "caret": {
+      "Package": "caret",
+      "Version": "6.0-85",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Hash": "43c568c0cbbc66f2c1fe93f054b70a71"
+    },
     "checkmate": {
       "Package": "checkmate",
       "Version": "2.0.0",
@@ -789,6 +803,13 @@
       "Repository": "CRAN",
       "Hash": "4ef9f64ceb0aee549eeb1de7e843f04b"
     },
+    "mlr3misc": {
+      "Package": "mlr3misc",
+      "Version": "0.1.8",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Hash": "697dbe66a60fd599cee7f56d349dfd19"
+    },
     "munsell": {
       "Package": "munsell",
       "Version": "0.5.0",
@@ -852,6 +873,13 @@
       "Repository": "CRAN",
       "Hash": "b37932b67288bc62bb81686b2f337a7d"
     },
+    "paradox": {
+      "Package": "paradox",
+      "Version": "0.1.0",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Hash": "4c72f7c6af1c4b9975f414011a680b7e"
+    },
     "parsnip": {
       "Package": "parsnip",
       "Version": "0.0.5",