Package: aai 0.2.0

Ege Rubak

aai: Functions, apps, exercises and other R related stuff used in "AI - Aalborg Intelligence"

Functions, apps, exercises and other R related stuff used in "AI - Aalborg Intelligence" The project (2020 - 2026) is supported by the Novo Nordisk Foundation to develop teaching material to be used in the Danish highschools to strengthen the understanding of AI while explaining how basic maths is used in the some popular AI methods.

Authors:Ege Rubak, Torben Tvedebrink, Mikkel Meyer Andersen, Lisbeth Fajstrup

aai_0.2.0.tar.gz
aai_0.2.0.zip(r-4.7)aai_0.2.0.zip(r-4.6)aai_0.2.0.zip(r-4.5)
aai_0.2.0.tgz(r-4.6-any)aai_0.2.0.tgz(r-4.5-any)
aai_0.2.0.tar.gz(r-4.7-any)aai_0.2.0.tar.gz(r-4.6-any)
aai_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
aai/json (API)

# Install 'aai' in R:

install.packages('aai', repos = c('https://aalborg-intelligence.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/aalborg-intelligence/aai/issues

Datasets:

classification_test_data - Fictive data set used to demonstrate some concepts on classification
classification_train_data - Fictive data set used to demonstrate some concepts on classification
perceptron31 - Fictive data set used to demonstrate some concepts in perceptron document

On CRAN:

1.70 score 1 stars 1 scripts 14 exports 94 dependencies

Last updated from:6fcba07a15. Checks:7 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	ERROR	161
source / vignettes	OK	187
linux-release-x86_64	ERROR	156
macos-release-arm64	ERROR	111
macos-oldrel-arm64	ERROR	94
windows-devel	ERROR	126
windows-release	ERROR	95
windows-oldrel	ERROR	91
wasm-release	OK	128

Exports:dt_simple dt_table kable_kNN kNN_plot kNN.cv kNN.loo kNN1 pred_grid pred_plot_grid predict_grid Print seq_zero xy_plot

Dependencies:base64enc bit bit64 bslib cachem cellranger class cli clipr commonmark cpp11 crayon crosstalk curl data.table digest dplyr DT evaluate farver fastmap fontawesome forcats foreign fs generics ggplot2 glue gtable haven highr hms htmltools htmlwidgets httpuv isoband jquerylib jsonlite knitr labeling later lazyeval lifecycle magrittr MASS memoise mime otel patchwork pillar pkgconfig prettyunits progress promises proxy purrr R.methodsS3 R.oo R.utils R6 rappdirs RColorBrewer Rcpp readr readxl rematch rio rlang rmarkdown S7 sass scales shiny shinycssloaders shinyjs shinyWidgets sourcetools spaa stringi stringr tibble tidyr tidyselect tinytex tzdb utf8 vctrs viridisLite vroom withr writexl xfun xtable yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
aai: Functions, apps, exercises and other R related stuff used in "AI - Aalborg Intelligence"	aai
Fictive data set used to demonstrate some concepts on classification	classification_test_data
Fictive data set used to demonstrate some concepts on classification	classification_train_data
Simple function for DT output	dt_simple
Short function for DT output	dt_table
Simple function for kable output	kable_
Data for plotting a grid based the mean of the K nearest neighbors	kMD_plot
Wrapper around `class::knn`	kNN
Visualise a kNN trainer	kNN_plot
Actual cross-validation function for kNN.	kNN.cv
Wrapper around `class::knn.cv` which does Leave one Out (LoO)	kNN.loo
Wrapper around `class::knn1`	kNN1
Mean distance to k nearest	meandist_to_k_nearest
Mean distance to k nearest	meandist_to_k_nearest_
Fictive data set used to demonstrate some concepts in perceptron document	perceptron31
Helper function for making preditive grid	pred_grid
Method for predicting the majority vote or "?" if ties	pred_max
Helper function for making preditive grid	pred_plot_grid
Create grid for new data	predict_grid
Makes print return all rows in a tibble	Print
Create discretised version with some pretty labels	seq_cut
Create breaks for `seq_cut`	seq_zero
Plot of data for exercise by Jan B Sørensen on classification	xy_plot