Common Task Framework
About
A system to compare algorithms made by several users on a common set of datasets.
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Environment
2.1GHz 6-core CPU
24GB RAM
40GB Hard disk space available
R version 3.3.1 (2016-06-21)
Platform: x86_64-redhat-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)
9383 R packages installed
Internet access to CRAN, Bioconductor, GitHub only for installing additional packages.
Datasets
Data structure example:
data_df lon lat co2 -174.9372 -38.10415 395.0963 -179.0481 -22.81784 392.5952 172.3957 16.30791 395.6466 172.4112 16.29490 393.4368 172.3898 16.35039 393.9456 pred_df lon lat -94.65960 -8.412008 -13.03596 -39.143768 144.14600 -12.843467 59.03585 46.178749 128.56120 1.963521
Example function
Input:
spat_interp <- function(data_df,pred_df) { library(LatticeKrig) obj <- LatticeKrig(data_df[,1:2], data_df[,3],nlevel=3,NC=8) out.pred <- predict.LKrig(obj, xnew= pred_df[,1:2]) J <- LKrig.sim.conditional(obj, x.grid = as.matrix(pred_df[,1:2]),M=30) LTK_pred <- out.pred LTK_se <- sqrt(apply(J[[3]],1,sd)^2 + obj$sigma.MLE) list(mu=LTK_pred,se=LTK_se) }
Output:
results$mu [,1] [1,] 402.3051 [2,] 398.2299 [3,] 397.4613 [4,] 397.6921 [5,] 396.5963 results$se [1] 1.813732 2.261943 1.808671 1.812388 1.804914
Results summary:
results_summary user date method dataset comptime rmspe pe cov90 1 bob 2016-11-15 LTK oco2lite NA 0.07042912 -0.07042912 0.7178
Submit a Task
Upload a '.R' file containing a single function that accepts as input the two data frames data_df and pred_df, and returns a list of mu and se.