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#!bin/sh | |
echo "options(renv.consent=TRUE)" >> .Rprofile | |
# Install R dependencies | |
sudo R -e "install.packages('remotes', repos = c(CRAN = 'https://cloud.r-project.org'))" \ | |
&& R -e "remotes::install_github('rstudio/renv')" \ | |
&& R -e "renv::restore(confirm = FALSE)" | |
# Render reports |
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library(shiny) | |
library(dplyr) | |
library(ggplot2) | |
library(R6) | |
library(redux) | |
ui <- fluidPage(titlePanel("Plot Caching Test"), | |
sidebarLayout(sidebarPanel( | |
selectInput("number", choices = seq(80000, 100000, by = 10000), |
We can make this file beautiful and searchable if this error is corrected: It looks like row 3 should actually have 20 columns, instead of 18. in line 2.
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,mean_fit_time,std_fit_time,mean_score_time,std_score_time,param_n_estimators,param_min_samples_split,param_min_samples_leaf,param_max_features,param_max_depth,param_bootstrap,params,split0_test_score,split1_test_score,split2_test_score,split3_test_score,split4_test_score,mean_test_score,std_test_score,rank_test_score | |
1,448.5101426124573,5.3167800779414565,5.312238168716431,0.3358513032639484,40,10,1,auto,110,False,"{'n_estimators': 40, 'min_samples_split': 10, 'min_samples_leaf': 1, 'max_features': 'auto', 'max_depth': 110, 'bootstrap': False}",0.7692151468714805,0.7740230946882217,0.7709119147992013,0.7739123998445625,0.7742867193719798,0.7724684199627252,0.002040865591995547,1 | |
15,397.7642039299011,3.1463341004142626,6.432087182998657,0.11780531491343235,53,5,1,sqrt,100,True,"{'n_estimators': 53, 'min_samples_split': 5, 'min_samples_leaf': 1, 'max_features': 'sqrt', 'max_depth': 100, 'bootstrap': True}",0.759928364381589,0.7603140877598152,0.7519229346941795,0.758479672840991,0.758308492714447,0.75779146821 |
We can make this file beautiful and searchable if this error is corrected: It looks like row 3 should actually have 20 columns, instead of 18. in line 2.
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,mean_fit_time,std_fit_time,mean_score_time,std_score_time,param_n_estimators,param_min_samples_split,param_min_samples_leaf,param_max_features,param_max_depth,param_bootstrap,params,split0_test_score,split1_test_score,split2_test_score,split3_test_score,split4_test_score,mean_test_score,std_test_score,rank_test_score | |
0,879.4318630218506,6.616491437189391,17.00982060432434,0.9989063711188361,132,2,2,auto,100,False,"{'n_estimators': 132, 'min_samples_split': 2, 'min_samples_leaf': 2, 'max_features': 'auto', 'max_depth': 100, 'bootstrap': False}",0.6791905913631077,0.6757136258660508,0.666722135936691,0.6767084250846579,0.6769361796671048,0.6750547288702187,0.004318869299143393,15 | |
1,448.5101426124573,5.3167800779414565,5.312238168716431,0.3358513032639484,40,10,1,auto,110,False,"{'n_estimators': 40, 'min_samples_split': 10, 'min_samples_leaf': 1, 'max_features': 'auto', 'max_depth': 110, 'bootstrap': False}",0.7692151468714805,0.7740230946882217,0.7709119147992013,0.7739123998445625,0.7742867193719798,0.7724684 |