"Training failed" Error in Machine Learning Quick Start Project

Stephen_Hughes

I just installed Dataiku 13.3.3 (Free Edition) on a MacBook Pro (MacOS 15.3) using Chrome as a browser.

I am going through the Machine Learning Quick Start project following instructions in Dataiku Academy.

I am getting a "Training Failed" error when training the model with the error message below.

I suspect the issue has something to do with the use of Python 3.7 packages, which I understand has been deprecated.

Failed to train : <class 'xgboost.core.XGBoostError'> : XGBoost Library (libxgboost.dylib) could not be loaded. Likely causes: * OpenMP runtime is not installed - vcomp140.dll or libgomp-1.dll for Windows - libomp.dylib for Mac OSX - libgomp.so for Linux and other UNIX-like OSes Mac OSX users: Run `brew install libomp` to install OpenMP runtime. * You are running 32-bit Python on a 64-bit OS Error message(s): ["dlopen(/Users/Stephen/Library/DataScienceStudio/kits/dataiku-dss-13.3.3-osx/python37.packages/xgboost/lib/libxgboost.dylib, 0x0006): Library not loaded: /usr/local/opt/libomp/lib/libomp.dylib\n Referenced from: <4D0FF2E5-E6B5-33EC-95A4-F63DEE574377> /Users/Stephen/Library/DataScienceStudio/kits/dataiku-dss-13.3.3-osx/python37.packages/xgboost/lib/libxgboost.dylib\n Reason: tried: '/usr/local/opt/libomp/lib/libomp.dylib' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/usr/local/opt/libomp/lib/libomp.dylib' (no such file), '/usr/local/opt/libomp/lib/libomp.dylib' (no such file), '/usr/local/lib/libomp.dylib' (no such file), '/usr/lib/libomp.dylib' (no such file, not in dyld cache)"]

Operating system used: MacOS 15.3

Lautaro

Hi Stephen,

Could you try the following and let me know if this helps?

Steps in MAC Terminal:

1) Install Rosetta 2:

Install Apple Rosetta 2:

/usr/sbin/softwareupdate --install-rosetta

2) Install Homebrew for Universal apps:

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

3) Install Homebrew for Intel apps:

cd ~/Downloadsmkdir homebrewcurl -L https://github.com/Homebrew/brew/tarball/master | tar xz --strip 1 -C homebrew

4) Move the homebrew directory to /usr/local/homebrew

sudo mv homebrew /usr/local/homebrew

5) Add a path to the .zshrc file:

export PATH=$HOME/bin:/usr/local/bin:$PATH

6) Create alias

alias axbrew='arch -x86_64 /usr/local/homebrew/bin/brew'

7) Install libomp for intel processor:

axbrew install libomp

In DSS:

1) Create code env and add the xgboost package:

2) Set the code env in your model design:

3) Enable the xgboost and train the model:

Regards,