Questions tagged [h2o4gpu]

H2O4GPU is a collection of GPU solvers by H2Oai with APIs in Python and R. The Python API builds upon the easy-to-use scikit-learn API and its well-tested CPU-based algorithms. The R package is a wrapper around the H2O4GPU Python package, and the interface follows standard R conventions for modeling.

H2O4GPU is a collection of GPU solvers by H2Oai with APIs in Python and R. The Python API builds upon the easy-to-use scikit-learn API and its well-tested CPU-based algorithms. It can be used as a drop-in replacement for scikit-learn (i.e. import h2o4gpu as sklearn) with support for GPUs on selected (and ever-growing) algorithms. H2O4GPU inherits all the existing scikit-learn algorithms and falls back to CPU algorithms when the GPU algorithm does not support an important existing scikit-learn class option. The R package is a wrapper around the H2O4GPU Python package, and the interface follows standard R conventions for modeling.

https://github.com/h2oai/h2o4gpu

34 questions
0
votes
1 answer

How do I convert a h2o4gpu Kmeans object to sklearn Kmeans object?

I'm in a spot where I need to convert then save h2o4gpu Kmeans object to just a sklearn object. I thought maybe I could just do this? I was expecting I would be able to save sklearn_model and load it, but I get error: AttributeError: 'KMeans' object…
Taylor Hawkes
  • 641
  • 7
  • 10
0
votes
1 answer

how to use mysql JDBC in h2o docker compose or docker file

I have to import mysql table in h2o.I am able to do this in local h2o. I need to do this at docker container. How to use mysql JDBC(mysql connector jar) in docker compose or docker file? h2o has given only environment variables for driverlessAI.…
Sarvendra Singh
  • 109
  • 1
  • 1
  • 9
0
votes
1 answer

import data directly from Elasticsearch index to h2o

Is there anyway to import data directly from Elasticsearch index to h2o through any api. Thanks Sarvendra
Sarvendra Singh
  • 109
  • 1
  • 1
  • 9
0
votes
0 answers

Creating h2o cluster using docker image

We are trying to make a cluster of h20 using docker image what we are using is a ENTRYPOINT command with ip of host machine when we are trying to execute the image it give me the following error(Ip Address not found).Please suggest as we have a…
0
votes
1 answer

Error calling GET /3/Jobs h2o model training Error on large data

i am trying to build model on a large data(2 millions transaction data) and getting below error.Thee is no progress in model building in progress bar and after some time job stops with below error.We are running this in single node and h2o is not…
0
votes
1 answer

How can I use h2o4gpu on Google Colab?

I need to train a model (Random Forest) using scikit learn and I wanted to run it on Google Colab using the GPU option. I know I can't directly use sklearn for this purpose so I installed h2o4gpu on Google Colab as a drop-in replacement, setting…
Ale
  • 11
  • 1
0
votes
1 answer

How to calculate confidence interval in h2o4gpu XGBClassifier?

With GPU h2o, I get the following output from a prediction: model.predict(data) False I am looking for something similar to the CPU version where the output is: model.predict(data) predict False True False 0.316711 0.683289 I want to…
0
votes
1 answer

h2o4gpu does not run ensemble.RandomForestCLassifier on the GPU

I built a random forest classifier using the Sklearn Python API. After hearing about the h2o4gpu package for sklearn GPU acceleration I installed it and imported it. But the ensemble.RandomForestClassifier still seems to be running on the CPU. Am I…
kzernobog
  • 5
  • 4
0
votes
1 answer

Using H2O4GPU through H2O.ai v3 Web Ui

New to using H2O.ai so please bear with me... I'm running H2O.ai, working via the Web UI for simplicity sake and mostly experimenting with the AutoML features. My understanding is that H2O4GPU is a separate package. Is there any integration between…
nukalov
  • 1,309
  • 13
  • 18
0
votes
1 answer

H20 Autoencoder Anomaly only accepting numerical predictors

I am using h2o autoencoder anomaly for finding outlier data in my model but issue is autoencoder only accepts numerical predictors. My requirement is i have find outlier's based on CardNumber or merchant number. and Cardnumber is 12…
0
votes
0 answers

get_gpu_info_c() does not detect GPUs

I'm new to stackverflow, sorry about the mistakes I may commit. I was wondering if the h2o4gpu works with cuda 10.0 because I succesfully got it installed using conda but when I run 'get_gpu_info_c()' no GPUs are detected. Thanks!
PSK
  • 347
  • 2
  • 13
0
votes
1 answer

How do I use h2o4gpu in kaggle kernel?

I'm trying to setup h2o4gpu library to be used in Kaggle competition, but I haven't found any useful resource to install/setup the environment. How do I set it up step by step? I have tried using the R package installation guide from this source :…
Ralph Deint
  • 380
  • 1
  • 4
  • 15
0
votes
1 answer

Clustering text documents using h2o4gpu K-Means in Python

I'm interested in using h2o4gpu to cluster text documents. For reference, I've followed this tutorial, but have changed the code to reflect h2o4gpu. from sklearn.feature_extraction.text import TfidfVectorizer import h2o4gpu documents = ["Human…
Greg
  • 29
  • 2
  • 4
0
votes
2 answers

pip is successfully installing h2o4gpu, still getting 'ImportError: No module named h2o4gpu'

I am attempting to install the h2o4gpu Python module as per the instructions listed here: https://github.com/h2oai/h2o4gpu/issues/464 pip says that it successfully installed all packages, including h2o4gpu-0.1.0. However I then still get import…
KOB
  • 4,084
  • 9
  • 44
  • 88
0
votes
0 answers

How to free the space on GPU?

I am processing my model on a very large data set (of size about 1TB) by breaking it into chunks and then run a prediction on each chunks and then append the result in a file. After running on each chunk I have to free the memory of GPU so that the…