= Package NNbenchmark = - Akshaj Verma, Salabila Mahdi, Patrice Kiener - Christophe Dutang, John Nash NNbenchmark 3.2.0 - 2021-06-05 - Submitted to CRAN ================================================== - NNpredict.R: - trainPredict_1mth1data(..., odir = "."). Before was "~/" which is incorrect - trainPredict_1data(..., odir = ".") (as path have no final slash in R) - trainPredict_1pkg(..., odir = ".") - trainPredict_1mth1data() file.path(odir, ...) replaces paste0(odir, ...) NNbenchmark 3.1.9 - 2021-03-09 - Submitted to CRAN ================================================== - All URLs tested with the new package urlchecker_1.0.0 published on 2021-03-04 - datasets.R: http replaced by https - datasets.R: NIST pages replaced by a redirection from InModelia's website - DESCRIPTION and a_intro.R: New links to theairbend3r, Github and InModelia - DESCRIPTION: Akshaj and Salsabila Orcid numbers NNbenchmark 3.1.6 - 2020-09-07 - Submitted to CRAN ================================================== - v_3.1.5 erased since mixed with 2019 code - v_3.1.6 copied from v_3.1.4 NNbenchmark 3.1.4 - 2020-08-30 ============================== - timediff() updated time0 <- NA ; time0 <<- time0 detected by CRAN - Authors@R modified: correct PK email - Author: orcid number for PK and CD NNbenchmark 3.1.3 - 2020-08-30 ============================== - timediff() updated time0 <<- NA - NNSummary() and NNtrainPredict() cat(), print() modified NNbenchmark 3.1.1 - 2020-08-26 ============================== - DESCRIPTION: add Authors@R - clearNN() and detachNN() further simplified NNbenchmark 3.1.0 - 2020-08-24 - Submitted to CRAN ================================================== - change version number and sent to CRAN NNbenchmark 3.0.7 - 2020-08-24 ============================== - simplify clearNN() - Christophe Dutang added as author - Email address: rpackages--@--inmodelia - false link replaced by the table header "Packages" in README.md - NNtrainPredict.R: odir <- tempdir() rather than getwd() NNbenchmark 3.0.5 - 2020-07-30 ============================== - allow for nrep = 1 - added examples to NNtrainPredict - changed echoreport to logical NNbenchmark 3.0.4 - 2020-07-03 ============================== - remove commented traces - add an argument to trainPredict_1mth1data() - add mWoodG1 rda file (Simon Wood's GAM test file for Gaussian family) NNbenchmark 3.0.3 - 2020-06-29 ============================== - NNtrainPredict now has the options for csv outputs, same as 2019 legacy code - round time objects in NNsummary NNbenchmark 3.0.2 - 2020-06-29 ============================== - adjusted NNtrainPredict and NNsummary functions to new timing functions NNbenchmark 3.0.1 - 2020-06-27 ============================== - DESCRIPTION: Roxygen: list(old_usage = TRUE) - timestart(), timediff() NNbenchmark 3.0.0 - 2020-06-21 (Bila + Patrice) =============================================== - NNTrain_Predict.R for NEW 2020 code do.call() implementation to train and predict NNs - Move NNbenchmark2020 to top directory. This is new NNbenchmark - Move NNbenchmark2019 to a new directory - Fix the date in DESCRIPTION NNbenchmark 2.3.7 - 2020-06-19 (Bila) ===================================== - Added MSE and WAE to funRMSE.R - Made a new R file: NNSummary.R for 2020 summary function NNbenchmark 2.3.6 - 2020-01-11 ============================== - ht() and ht9() fully rewritten. Accept now array and data.frame with matrices inside - README.md added NNbenchmark 2.3.5 - 2019-08-22 ============================== - DESCRIPTION and a_intro.R: add the html links to GitHub and AkshajVerma.com NNbenchmark 2.3.4 - 2019-08-21 - sent to CRAN ============================================= - DESCRIPTION: Modify the title to match title case (recommended by CRAN) NNbenchmark 2.3.3 - 2019-08-21 ============================== - DESCRIPTION: Modify the title - All files: Add value to Rd files (return in roxygen comments) for every functions NNbenchmark 2.3.2 - 2019-08-20 ============================== - prepareZZ: extend donttest to run examples in less than 5 seconds NNbenchmark 2.3.1 - 2019-08-20 ============================== - add2csv: examples rewritten with tempfile() - datalist rewritten with format (file_without_ext: obj1, ..., objn) - use for this purpose the hidden function tools:::list_data_in_pkg() NNbenchmark 2.3 - 2019-08-19 ============================ - NNdatasets: Change uNeuroOne from 3 to 2 neurons and 10 to 7 parameters - NNdatasets: mRef153: correct a typo in the number of neurons (from 4 to 3) - u+mNNdatasets: Update the documentation with the number of parameters for each dataset - prepareZZ: rearrange the examples with donttest to run less than 5 seconds - DESCRIPTION: Yifu Yan as author of the timeR function + class (timeR package) - Test CRAN check and prepare the upload to CRAN NNbenchmark 2.2 - 2019-08-13 ============================ - NNdataSummary() NNbenchmark 2.1.1 - 2019-08-13 ============================== - clearNN() donotdetach now includes kableExtra, dplyr, stringr NNbenchmark 2.1 - 2019-08-12 ============================ - detachNN() (to move library(pkg) out of the loop in NNTemplate) NNbenchmark 2.0.1 - 2019-08-04 ============================== - Date 2019-08-04 added at the first line of *.R files - Linked to GitHub. Package is rebuilt before commit (to force change in NAMESPACE) NNbenchmark 2.0 - 2019-08-04 ============================ - column 'params' added to the timer table. Columns in the data.frame are: - timer$stop(event, start, end, duration, RMSE, MAE, stars, params, comment) - Connect to GitHub NNbenchmark 1.9 - 2019-08-03 ============================ - New disk - timer$stop(event, RMSE, MAE, stars, comment, printmsg) column 'stars' added to the table NNbenchmark 1.8.6 - 2019-07-31 ============================== - timer$stop(printmsg = TRUE) Use printmsg = FALSE to avoid printing NNbenchmark 1.8.2 - 2019-07-30 ============================== - clearNN(): ZZ is (now) detached from the environments - clearNN(): donotdetach now indludes packages rmarkdown, knitr and captioner - timer$stop suppress the message on the time elapsed NNbenchmark 1.8.1 - 2019-07-29 ============================== - add2csv(): create a new entry in the documentation different than clearNN (minor bug) NNbenchmark 1.8 - 2019-07-28 ============================ - NNdatasets now includes for each dataset the corresponding fmlaNN and nparNN - prepareZZ(Zsm = ...) adds has a new item to the final list: - Zxy is a scaled or not scaled data.frame or matrix, depending the zmd and scale parameters NNbenchmark 1.7.2 - 2019-07-25 ============================== - DESCRIPTION Imports: pkgload - clearNN() => uses pkgload::unload() to unload poperly S4 classes and dll NNbenchmark 1.7.1 - 2019-07-25 ============================== - clearNN() => "tools:rstudio" added to the default packages (NULL) not be detached NNbenchmark 1.7 - 2019-07-23 ============================ - add2csv() - funRMSE(), funMAE() - MAE (Mean absolute Error) added to timer_class and data.frame - clearNN() => tryCatch(...) added NNbenchmark 1.6 - 2019-07-21 ============================ - clearNN() NNbenchmark 1.5 - 2019-06-30 ============================ - ht(..., l = 3) - ht9() - NNdatasets - prepareZZ(..., scale =) replaces prepareZZ(..., normalize) as 'scale' is the usual word - for (mean, standard deviation) adjustment in R. - prepareZZ() now returns the formula y ~ x or y ~ x1 + ... + xn for any number of columns NNbenchmark 1.4.1 - 2019-06-24 ============================== - Function plotNN(, TF) + lipoNN(, TF) replaces if (TRUE/FALSE) plot - Examples prepareZZ() rewritten accordingly NNbenchmark 1.4 - 2019-06-23 ============================ - Function plotNN() + lipoNN() - Examples prepareZZ() rewritten accordingly NNbenchmark 1.3 - 2019-06-23 ============================ - Function prepareZZ() - timeR: add a column RMSE NNbenchmark 1.2 - 2019-06-22 ============================ - Function prepareZ() - DESCRIPTION Suggests: brnn, validann NNbenchmark 1.1 - 2019-06-17 ============================ - Functions and classes timeR NNbenchmark 1.0 - 2019-06-13 ============================ - Functions cc() and ht() - Datasets are now uNNdatasets.rda and mNNdatasets.rda 'dataNNbenchmark' - LazyData: true' in DESCRIPTION file