= Package NNbenchmark =
- Akshaj Verma, Salabila Mahdi, Patrice Kiener
- Christophe Dutang, John Nash 



NNbenchmark 3.2.0 - 2021-06-05 - Submitted to CRAN
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- 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
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- 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
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- 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
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- 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
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- timediff() updated time0 <<- NA
- NNSummary() and NNtrainPredict() cat(), print() modified

NNbenchmark 3.1.1 - 2020-08-26
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- DESCRIPTION: add Authors@R
- clearNN() and detachNN() further simplified

NNbenchmark 3.1.0 - 2020-08-24 - Submitted to CRAN
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- change version number and sent to CRAN

NNbenchmark 3.0.7 - 2020-08-24
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- 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
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- allow for nrep = 1
- added examples to NNtrainPredict
- changed echoreport to logical

NNbenchmark 3.0.4 - 2020-07-03
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- 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
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- 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
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- adjusted NNtrainPredict and NNsummary functions to new timing functions


NNbenchmark 3.0.1 - 2020-06-27
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- 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)
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- 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
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- ht() and ht9() fully rewritten. Accept now array and data.frame with matrices inside
- README.md added

NNbenchmark 2.3.5 - 2019-08-22
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- DESCRIPTION and a_intro.R: add the html links to GitHub and AkshajVerma.com

NNbenchmark 2.3.4 - 2019-08-21 - sent to CRAN
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- DESCRIPTION: Modify the title to match title case (recommended by CRAN)

NNbenchmark 2.3.3 - 2019-08-21
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- 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
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- prepareZZ: extend donttest to run examples in less than 5 seconds

NNbenchmark 2.3.1 - 2019-08-20
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- 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
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- NNdataSummary()

NNbenchmark 2.1.1 - 2019-08-13
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- clearNN() donotdetach now includes kableExtra, dplyr, stringr

NNbenchmark 2.1 - 2019-08-12
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- detachNN() (to move library(pkg) out of the loop in NNTemplate)

NNbenchmark 2.0.1 - 2019-08-04
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- 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
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- 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
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- New disk
- timer$stop(event, RMSE, MAE, stars, comment, printmsg) column 'stars' added to the table

NNbenchmark 1.8.6 - 2019-07-31
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- timer$stop(printmsg = TRUE) Use printmsg = FALSE to avoid printing

NNbenchmark 1.8.2 - 2019-07-30
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- 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
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- add2csv(): create a new entry in the documentation different than clearNN (minor bug)

NNbenchmark 1.8 - 2019-07-28
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- 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
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- DESCRIPTION Imports: pkgload
- clearNN() => uses pkgload::unload() to unload poperly S4 classes and dll

NNbenchmark 1.7.1 - 2019-07-25
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- clearNN() => "tools:rstudio" added to the default packages (NULL) not be detached

NNbenchmark 1.7 - 2019-07-23
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- add2csv()
- funRMSE(), funMAE()
- MAE (Mean absolute Error) added to timer_class and data.frame
- clearNN() => tryCatch(...) added

NNbenchmark 1.6 - 2019-07-21
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- clearNN()

NNbenchmark 1.5 - 2019-06-30
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- 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
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- Function plotNN(, TF) + lipoNN(, TF) replaces if (TRUE/FALSE) plot
- Examples prepareZZ() rewritten accordingly

NNbenchmark 1.4 - 2019-06-23
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- Function plotNN() + lipoNN()
- Examples prepareZZ() rewritten accordingly

NNbenchmark 1.3 - 2019-06-23
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- Function prepareZZ()
- timeR: add a column RMSE 

NNbenchmark 1.2 - 2019-06-22
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- Function prepareZ()
- DESCRIPTION Suggests: brnn, validann

NNbenchmark 1.1 - 2019-06-17
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- Functions and classes timeR

NNbenchmark 1.0 - 2019-06-13
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- Functions cc() and ht()
- Datasets are now uNNdatasets.rda and mNNdatasets.rda 'dataNNbenchmark'
- LazyData: true' in DESCRIPTION file


