Closed lejarx closed 4 years ago
@lejarx You'll definitely need catboost installed before my package can be installed. There are a few different methods for installing it. If you go to the catboost documentation homepage you can find the various ways on there. https://catboost.ai/docs/concepts/r-installation.html I think you'll want to try out this page: https://catboost.ai/docs/installation/r-installation-binary-installation.html#r-installation-binary-installation
Also want to add, I just installed RemixAutoML on my computer. However, I already have catboost installed so that is likely the reason. The below worked for me in the past. If the most recent version isn't installing, try a previous release, which can be seen here: https://github.com/catboost/catboost/releases
Be sure to use the version you want versus what is listed below options(devtools.install.args = c("--no-multiarch", "--no-test-load")) install.packages("https://github.com/catboost/catboost/releases/download/v0.17.3/catboost-R-Windows-0.17.3.tgz", repos = NULL, type = "source", INSTALL_opts = c("--no-multiarch", "--no-test-load"))
Thanks @AdrianAntico ,
Installing the released version solves the issue
Below the solution I've used
install.packages('devtools')
devtools::install_url('https://github.com/catboost/catboost/releases/download/v0.23.2/catboost-R-Linux-0.23.2.tgz', INSTALL_opts = c("--no-multiarch"))
Installing package into ‘/datascience/R/x86_64-redhat-linux-gnu-library/3.6’
(as ‘lib’ is unspecified)
* installing *source* package ‘RemixAutoML’ ...
** using staged installation
** R
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
converting help for package ‘RemixAutoML’
finding HTML links ... done
AutoBanditNNet html
AutoBanditSarima html
AutoCARMA_QA html
AutoCatBoostCARMA html
AutoCatBoostChainLadder html
AutoCatBoostClassifier html
AutoCatBoostFreqSizeScoring html
AutoCatBoostHurdleModel html
AutoCatBoostMultiClass html
AutoCatBoostRegression html
AutoCatBoostScoring html
AutoCatBoostSizeFreqDist html
AutoDataDictionaries html
AutoDataPartition html
AutoFourierFeatures html
AutoH2OMLScoring html
AutoH2OModeler html
AutoH2OScoring html
AutoH2OTextPrepScoring html
AutoH2oDRFCARMA html
AutoH2oDRFClassifier html
AutoH2oDRFHurdleModel html
AutoH2oDRFMultiClass html
AutoH2oDRFRegression html
AutoH2oGBMCARMA html
AutoH2oGBMClassifier html
AutoH2oGBMFreqSizeScoring html
AutoH2oGBMHurdleModel html
AutoH2oGBMMultiClass html
AutoH2oGBMRegression html
AutoH2oGBMSizeFreqDist html
AutoH2oGLMCARMA html
AutoH2oGLMClassifier html
AutoH2oGLMMultiClass html
AutoH2oGLMRegression html
AutoH2oMLCARMA html
AutoH2oMLClassifier html
AutoH2oMLMultiClass html
AutoH2oMLRegression html
AutoHierarchicalFourier html
AutoHurdleScoring html
AutoKMeans html
AutoLagRollStats html
AutoLagRollStatsScoring html
AutoLimeAid html
AutoMarketBasketModel html
AutoNLS html
AutoRecomDataCreate html
AutoRecommender html
AutoRecommenderScoring html
AutoTBATS html
AutoTS html
AutoTransformationCreate html
AutoTransformationScore html
AutoWord2VecModeler html
AutoWordFreq html
AutoXGBoostCARMA html
AutoXGBoostClassifier html
AutoXGBoostHurdleModel html
AutoXGBoostMultiClass html
AutoXGBoostRegression html
AutoXGBoostScoring html
CARMA_Define_Args html
CARMA_Get_IndepentVariablesPass html
CarmaCatBoostKeepVarsGDL html
CarmaH2OKeepVarsGDL html
CarmaHoldoutMetrics html
CarmaXGBoostKeepVarsGDL html
CatBoostParameterGrids html
ChartTheme html
ClassificationMetrics html
ColumnSubsetDataTable html
ContinuousTimeDataGenerator html
CreateCalendarVariables html
CreateHolidayVariables html
CreateProjectFolders html
DT_BinaryConfusionMatrix html
DT_GDL_Feature_Engineering html
DataDisplayMeta html
DifferenceData html
DifferenceDataReverse html
DummifyDT html
EvalPlot html
FakeDataGenerator html
FinalBuildArfima html
FinalBuildArima html
FinalBuildETS html
FinalBuildNNET html
FinalBuildTBATS html
FinalBuildTSLM html
FullFactorialCatFeatures html
GenTSAnomVars html
GenerateParameterGrids html
H2oAutoencoder html
H2oIsolationForest html
IntermittentDemandScoringDataGenerator
html
LimeModel html
ModelDataPrep html
OptimizeArfima html
OptimizeArima html
OptimizeETS html
OptimizeNNET html
OptimizeTBATS html
OptimizeTSLM html
ParDepCalPlots html
ParallelAutoARIMA html
ParallelAutoArfima html
ParallelAutoETS html
ParallelAutoNNET html
ParallelAutoTBATS html
ParallelAutoTSLM html
Partial_DT_GDL_Feature_Engineering html
PathNormalizer html
PrintObjectsSize html
ProblematicFeatures html
QA_WALMARTDATAGENERATOR html
RL_Initialize html
RL_ML_Update html
RL_Performance html
RL_Update html
RPM_Binomial_Bandit html
RedYellowGreen html
Regular_Performance html
RemixAutoML-package html
RemixClassificationMetrics html
RemixTheme html
ResidualOutliers html
SQL_Server_DBConnection html
SimpleCap html
StackedTimeSeriesEnsembleForecast html
TimeSeriesDataPrepare html
TimeSeriesFill html
TimeSeriesMelt html
TimeSeriesPlotter html
WideTimeSeriesEnsembleForecast html
XGBoostParameterGrids html
multiplot html
percRank html
tempDatesFun html
threshOptim html
tokenizeH2O html
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (RemixAutoML)
@lejarx Thanks for following up!
@lejarx FYI - I ran into the same problem and they got it fixed, in case you want to install the original way that you tried.
Hi @AdrianAntico
I'm trying to install the latest version of RemixAutoML package but faced the following errors. I'm still on R3.6 if that helps. Does your package requires certain version of R?