SPOTMisc
1.19.40
- NEW:
- getModelConf: number of units modified: 0;5 (1;32)
1.19.38
1.19.36
- NEW:
- funKerasGeneric: embedding enhanced
1.19.32
- BUGFIX: “mace” -> “race” in Census Data
1.19.30
- BUGFIX: *funKerasGeneric: embedding corrected
1.19.28
- BUGFIX:
- xgboost added to suggests in DESCRIPTION
1.19.26
- NEWS:
- new function trans_odd_round()
- evalKerasMnist() checks size (simple check)
- new transformations for model “cnn” in getModelConf(): kernel uses
trans_odd_round()
1.19.24
1.19.22
- NEWS:
- getKerasConf() moved to getKerasConf.R
- getKerasConf(): new argument tfDevice = “/cpu:0”
- getMnistData(), evalKerasGeneric() and funKerasGeneric() require the
argument kerasConf (getKerasConf() is not used as the default)
- https addresses in documentations use
- funKerasModular.R renamed to funKerasGeneric.R
1.19.20
- NEWS:
- getModelConf() arguments modified. Function accepts a list, e.g.,
from getKerasConf()
1.19.18:
1.19.16:
- NEWS
- dataCensus: data frame
- getDataCensus() uses SPOTMisc data frame “dataCensus” if
getDataCensus() fails
1.19.14
1.19.12
1.19.10
1.19.8
- NEWS
- hyperparameter handling extended: mapX2Flags() uses new argument
“model”. Default: “dl”
1.19.6
- NEWS:
- limited number of training epochs in startMnistRun.R
1.19.4
- NEWS:
- MNIST updated
- kConf -> kerasConf
- startMnistRun()
1.19.2
- BUGFIX: tryCatch -> try in evalKerasGeneric()
1.19.0
- NEWS:
- evalParamCensus() accepts new parameter xbest. Default:
“xBestOcba”
1.18.14
- NEWS:
- cleanup. funKerasGeneric.R removed
1.18.12
- NEWS:
- getMlConfig() does not call getDataCensus(), but accepts data as an
argument.
- get_objf() renamed to getObjf()
1.18.10
1.18.8
- BUGFIX:
- predMlCensus transforms x values before calculation
- NEWS:
- getDataCensus: new argument “cache.only” with default value
“FALSE”
- documentation, cleanup
1.18.6
- BUGFIX: prop corrected in evalParamCensus()
1.18.4
- NEW: evalParamCensus() added back
1.18.2
1.18.0
1.17.14
1.17.12
- NEWS: handleNA -> handleNAs
1.17.10
- NEWS:
- kerasConf: naDummy removed, use spot::handleNAs instead
1.17.8
- NEWS: startCensusRun implemented as a script, not a function
1.17.6
- NEWS: kerasEvalPrediction() uses testScore instead of Metrics
1.17.4
- NEWS: predictDL rewritten
1.17.2
1.17.0
1.16.4
- NEW:
- with(tf$device(“/cpu:0”), {}) is not used anymore, instead the
follwoing mechanism is used: library(keras) use_session_with_seed(42,
disable_gpu = FALSE, disable_parallel_cpu = FALSE)
1.16.2
- NEWS:
- target set in getDataCensus
1.16.0
1.15.24
- BUGFIX:
- NEWS:
- spotStats
- keras functions use “with(tf$device(”/cpu:0”), {})” to force CPU
usage
1.15.22
- BUGFIX:
- OCBAbudget -> OCBABudget (typo)
1.15.20
1.15.18
1.15.16
1.15.14
- BUGFIX:
- getParamConf: missing task.type added
1.15.12
- NEWS:
- evalParamCensus() determines nFeatures
- cache.dir set to “oml.cache”
1.5.10
- BUGFIX: example evalParamCensus fixed
1.15.8
- BUGFIX: evalParamCensus(): x is converted to matrix
1.15.6
1.15.4
1.15.2
- NEWS:
- Improved experimental designs and evaluations for keras
1.15.0
- NEWS:
- prepare optimizer select. This is hyperparameter x11, which can
encoded as type=factor.
1.14.2
- BUGFIX:
- predDlCensus uses test data
1.14.0
- BUGFIX:
- getMlrResample() gets task information, i.e.:
getMlrResample(task,..)
1.13.6
- NEWS:
- further test (data census)
1.13.4
- NEWS:
- further test (data census)
1.13.2
1.13.0
- NEW: funKerasCensus.R: tests
1.12.6
- NEW: getModelConf() can handle dl, too funKerasCensus accepts target
argumet (default = NULL)
1.12.4
- NEW: trans_mult_2 function
1.12.2
- BUGFIX:
- corrected minbucket default value (1/3)
1.12.0
- NEWS:
- getModelConf() includes default values (defaults)
1.11.18
- NEWS: cleanup and documentation:
- test_ds_census is not used
1.11.16
- NEWS:
- deep learning on census data uses embedding layer
1.11.14
1.11.12
- BUGFIX: still incomplete fix
1.11.10
- BUGFIX: target specification
1.11.8
- BUGFIX: prop handling in getCensusTrainValTestData()
1.11.6
- NEW: default param (only begin)
1.11.4
1.11.2
- NEW:
- predMlCensus rewritten (old version: predMlCensusDeprecated)
1.11.0
1.10.4
1.10.2
- BUGFIX
- predMlCensus() uses testData for task definition
1.10.0
- NEWS:
- predMlCensus() rewritten
- new function: makeLearnerFromHyperparameters()
- plot_pareto removed
- package emoa not in DESCRIPTION
1.9.6
- BUGFIX in predMlCensus(): trueY col nums fixed
- getCensusTrainValTestData requires target argument
- target income_class replaced by age
1.9.4
- BUGFIX in predMlCensus(): duplicate task generation
1.9.2
- NEWS:
- predlMlCensus
- scorePredictions
1.9.0
- NEWS:
- mlr cleanup and restructure
1.8.12
- BUGFIX:
- Usage of “name” in plotSensitivity() fixed
1.8.10
- NEWS:
- New plot functions (based on ggplot2)
1.8.8
- NEWS: test funKeras: test for adam
1.8.6
- NEWS: getCensusTrainValTestData(): prop can be a 2-dim vector
1.8.4
- NEWS:
- accuracy uses as.integer(pred >0.5)
1.8.2
- NEWS:
- Extended paprameter conf fpr Census DNNs
1.8.0
1.7.6
- BUGFIX:
- funKerasCensus: several bug fixes
1.7.4
- NEWS:
- funKerasCensus()
- dataKeras.R with census data
1.7.2
- NEWS:
- More documentation
- get_task_census() is based on getMlrTask() and getDataCensus()
1.7.0
- NEWS
- hyperparameter tuning functions added
- get_task_census(): get OpenML KDD Census data set
- getExplan()
1.6.6
- NEWS:
- resKerasMnist07 data added
- resKerasMnist11 prepared (multi start spot)
1.6.4
- NEWS:
- resKerasMnist03 updated
- experiments 07-10 prepared
1.6.2
1.6.0
- BUGFIX:
- apply() in funKerasMnist uses “byrow=TRUE”
- NEWS:
- Extended logging facilities
1.5.20
- NEWS:
- vignette examples updated, resKerasMnist02 uses transformX
values
- resKerasMnist02 updated
- default resKerasMnist02 calculation uses transfromX
1.5.18
- NEWS: bachtsize parameter in funKerasMinst() is not mapped to
2^batchsize, because this is handled by SPOT via transferX()
1.5.14 and 16
1.5.12
1.5.10
- CHANGES:
- Updated results for kerasMnist02/03
1.5.8
1.5.6
- BUGFIX
- correct treatment of negative accuracy values
1.5.4
- BUGFIX
- dim of MOO retrun values fixed
1.5.2
- NEWS
- keras mock-up functions (resKerasDummy) for quick testing
1.5.0
- NEWS
- SIR modeling and Markov analyis removed
1.4.4
- BUGFIX
- SIR modelling: tests/examples skipped
1.4.2
- CHANGES:
- funKerasMnist and funKerasTransferLearning return y (instead of y
and a model list)
1.4.0
1.3.12
- NEW:
- Data sets resKerasTransferLearning* updated
- Data set resKerasTransferLearning06 prepared
1.3.10
1.3.8
1.3.6
- NEW:
- handle NaN and Inf: mapped to 1234567890
1.3.4
1.3.2
1.3.0
- NEW:
- Perform and document keras examples
- Basic vignette
- Additional keras data sets
1.2.30
1.2.28
- NEW:
- function funKerasTransferLearning
1.2.26
- BUGFIX:
- correct return value in funKerasMnist “res$y”
1.2.22
1.2.20
- NEW
- funKeras* functions extended
1.2.18
- BUGFIX:
- learning_rate replaces lr
- Roxygen 7.1.2
1.2.16
1.2.14
1.2.12
- BUGFIX:
- funKerasMnist returns the correct test loss
- funKerasMnist accepts further keras configuration parameters such as
verbose etc. as arguments: funKerasMnist <- function (x, kConf =
getKerasConf()).
1.2.10
- CHANGES:
- funKerasMnist returns a list. score can be accessed via $score
1.2.8
- NEW:
- funKerasMnist accepts additional parameters:
- verbose
- callbacks
- validation_split
- validation_data
- shuffle Logical
1.2.6
- NEW:
- funKerasMnist (requires a working python enviroment via
reticulate)
1.2.4
- BUGFIX:
- Namespaces in Imports field not imported from:‘MASS’ ‘RColorBrewer’
‘ggplot2’ All declared Imports should be used.