eribeiro

##
## Python implementations of the search relevance evaluation metrics described at 
## https://opensourceconnections.com/blog/2020/02/28/choosing-your-search-relevance-metric/
## 
##

def precision(docs):
    return sum(docs) / len(docs) if docs else 0

def avg_precision(docs):

gadenbuie

# Animated dplyr joins with gganimate
# * Garrick Aden-Buie
# * garrickadenbuie.com
# * MIT License: https://opensource.org/licenses/MIT

# Note: I used Fira Sans and Fira Mono fonts.
#       Use search and replace to use a different font if Fira is not available.

library(tidyverse)
library(gganimate)

alferov

# Delete all containers
docker rm $(docker ps -aq)
# Delete all images
docker rmi $(docker images -q)
# Delete all untagged images
docker rmi $(docker images -q --filter "dangling=true")

References:

goldingn

# make a nice viridis GMRF tesselation for Richard
rm(list = ls())
set.seed(1)

library(INLA)
library(raster)
library(viridis)
library(fields)

# grid sizes for sampling the GRF and for the final image

Quiri

library(shiny)

shinyServer(function(input, output, session) {
	
	observe({
		if(input$tv == "All, but C") {
			updateCheckboxGroupInput(session, "check2", label = NULL, choices = NULL, 
				selected = c("A", "B", "D", "E"))
		}
		if(input$tv == "Only C or D") {