unable to create code env for forecast plugin
Answers
-
Sergey Dataiker, Dataiku DSS Core Designer, Dataiku DSS & SQL, Dataiku DSS Core Concepts, Registered Posts: 365 DataikerHi @atulchavan
This plugin requires R binary present on the DSS system. Have you run install-r-integration:
-
atulchavan Partner, Dataiku DSS Core Designer, Dataiku DSS ML Practitioner, Dataiku DSS Core Concepts, Registered Posts: 11 Partner
-
Sergey Dataiker, Dataiku DSS Core Designer, Dataiku DSS & SQL, Dataiku DSS Core Concepts, Registered Posts: 365 Dataiker
Thanks, please try to create the code environment for this plugin (reproduce the issue) and provide backend.log (Administration->Maintenance->Log files) for review.
-
atulchavan Partner, Dataiku DSS Core Designer, Dataiku DSS ML Practitioner, Dataiku DSS Core Concepts, Registered Posts: 11 Partner
this is resolved i am able to use forecast plugin..
it would be great if you help with flow , with example to use forecast plugin -
Ignacio_Toledo Dataiku DSS Core Designer, Dataiku DSS Core Concepts, Neuron 2020, Neuron, Registered, Dataiku Frontrunner Awards 2021 Finalist, Neuron 2021, Neuron 2022, Frontrunner 2022 Finalist, Frontrunner 2022 Winner, Dataiku Frontrunner Awards 2021 Participant, Frontrunner 2022 Participant, Neuron 2023 Posts: 419 NeuronHi @atulchavan
. There is good material and examples at:https://academy.dataiku.com/time-series-preparation-1
https://academy.dataiku.com/time-series-with-code-open
Cheers!
-
atulchavan Partner, Dataiku DSS Core Designer, Dataiku DSS ML Practitioner, Dataiku DSS Core Concepts, Registered Posts: 11 Partner
Thanks it is helpful..
however i wanted to forecast multiple time series which needs data to be partitioned and this function is not available for trail version -
Hi everyone,
I guess I have the same issues, when I'm trying to follow the "Hands-On Tutorial: Forecasting Time Series (Plugin)"
When I'm trying to run the recipe : Train and evaluate forecasting models, i've got the error :
Job failed: Error in Python process: At line 2: <class 'gluonts_forecasts.mxnet_utils.GPUError'>: Error when importing mxnet, please check that you have CUDA {CUDA_VERSION} installed. Detailed error: libquadmath.so.0: cannot open shared object file: No such file or directory
Do you have any idea about what to do ?
Thanks by advance
-
tgb417 Dataiku DSS Core Designer, Dataiku DSS & SQL, Dataiku DSS ML Practitioner, Dataiku DSS Core Concepts, Neuron 2020, Neuron, Registered, Dataiku Frontrunner Awards 2021 Finalist, Neuron 2021, Neuron 2022, Frontrunner 2022 Finalist, Frontrunner 2022 Winner, Dataiku Frontrunner Awards 2021 Participant, Frontrunner 2022 Participant, Neuron 2023 Posts: 1,650 NeuronLooks like you are having cuda install problems. From my point of view this can be challenging.
When installing Cuda you have to pick the appropriate version depending on if you have a Cuda supported GPU available in the computer running DSS or not. These are generally NVidea GPUs. If not you have to pick the slower CPU version of the code. As a test you might try a CPU code environment see if you can get things working. And then work on the harder to install GPU version of Cuda.
You might want to look at these instructions for some help. https://doc.dataiku.com/dss/latest/machine-learning/deep-learning/runtime-gpu.html
Let us know how you are getting along with your project.
-
Sergey Dataiker, Dataiku DSS Core Designer, Dataiku DSS & SQL, Dataiku DSS Core Concepts, Registered Posts: 365 Dataiker
Hi @Reynholds
Looks like you are missing libquadmath (gcc shared support library) OS package so you will need to install it.
