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
2
votes
1 answer

"Failed to connect to localhost port 54321: Connection refused"

I can't get the h2o to work in my R. It shows the following error. Have no clue what it means. Previously it gave me an error because I didn't have Java 64 bit version. I downloaded the 64bit - restarted my pc - and started the process again and now…
Nitish Sherje
  • 31
  • 1
  • 4
2
votes
1 answer

Does h2o4gpu handle categorical features like sklearn or like h2o?

I understand that sklearn requires categorical features to be encoded to dummy variables or one-hot encoded when running the sklearn.ensemble.RandomForestRegressor method, and that XGBoost requires the same, but h2o permitted raw categorical…
S.Kumar
  • 23
  • 4
2
votes
1 answer

How can I read a csv file using panda dataframe from GPU?

I am reading a file using file=pd.read_csv('file_1.csv') which is taking a long time on CPU. Is there any method to read this using GPU.
1
vote
1 answer

h2o session initializing and closing immediately on h2o.init in Pycharm IDE

I have installed official h2o package in Pycharm IDE as below image and after installing when I am initializing h2o using h2o.init(), h2o session starting and closing immediately.Please suggest why it is closing immediately. import…
Sarvendra Singh
  • 109
  • 1
  • 1
  • 9
1
vote
1 answer

H2O: GLM MOJO models doesn't hold variable importance?

A question on h2o mojo models. Is my understanding correct that GLM MOJO models don't hold variable importance for the model? Or is there something that am missing? I get the below message on screenshot sometimes when I query varimp/varimp_plot from…
1
vote
1 answer

Csv file maximum size that can be imported in h2o

What is the external CSV file maximum size that can be imported in h2o Flow?is there any file size limit? Thanks Sarvendra
1
vote
0 answers

How to save / load a random forest model created via h2o4gpu library in R?

I am using the h2o4gpu package in R to create a random forest model. When the model is created I cannot for the life of me find a way to save it in order to load it in a future date. I have tried using the standard way of saving and loading objects…
1
vote
0 answers

H2OAutoEncoderEstimator Anomaly Prediction REST API

I am creating H2o Autoencoder Anomaly Detection model in h2o python.When calculating anomalies using (test_rec_error=model.anomaly(test.hex,per_feature=false) I am getting one reconstruction error for each record.But When I am trying to…
Sarvendra Singh
  • 109
  • 1
  • 1
  • 9
1
vote
0 answers

Import h2o4gpu in python fails due to "there is no module named h2o4gpu.utils.murmurhash3_32"

My working Environment OS platform, distribution and version: Window 10 Education 64 bit(10.0, Build 17134**: Installed from (source or binary): from source (pip install -i https://pypi.anaconda.org/gpuopenanalytics/simple h2o4gpu) Version:…
1
vote
1 answer

Classification Scores differ between H2O4GPU and Scikit-Learn

I've begun evaluating a random forest classifier using precision and recall. However, despite the train and test sets being identical for the CPU and GPU implementations of the classifier, I'm seeing differences in the returned evaluation scores. Is…
Greg
  • 29
  • 2
  • 4
1
vote
2 answers

Getting an error while converting Tibble to h2o hex file

I am running the h2o package in Rstudio, I am getting an error while converting Tibble into h2o. Below is my code #Augment Time Series Signature PO_Data_aug = PO_Data %>% tk_augment_timeseries_signature() PO_Data_aug # Split into training,…
Nitish Sherje
  • 31
  • 1
  • 4
1
vote
1 answer

How to run a prediction on GPU?

I am using h2o4gpu and the parameters which i have set are h2o4gpu.solvers.xgboost.RandomForestClassifier model. XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1, colsample_bytree=1.0, gamma=0, learning_rate=0.1,…
1
vote
1 answer

h2o4gpu on windows 7 platform for R

great to see the news about h2o4gpu in R world, but just wondering if there would be an option for folks using windows based environment. Appreciate if you could respond
0
votes
1 answer

H20 cluster - generate the values in a tabular format for pdp plots

I am using the h20 cluster to train the model using tuned random forest and plot pdp plots using the below code tx = tuned_rf.explain(test_data, top_n_features=5, include_explanations='pdp') This is returning pdp plots in graphical format the graph…
rqqa
  • 35
  • 6
0
votes
1 answer

Deep learning in H2O4GPU

Good day! I had initially built a deep learning estimator on the h2o library in R, and I was thinking of using the h2o4gpu library instead to build it in order to expedite the process. Does anyone know if there is an existing function in h2o4gpu…
Aengus
  • 13
  • 3
1
2 3