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Questions tagged [h2o.ai]

52 questions
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1 answer

H2O local server has died unexpectedly

I am having a problem reproducing the AutoML tutorial in H2O documentation. After initatiing my h2o local server (h2o.init()) I get the following output, which sounds correct: Checking whether there is an H2O instance running at…
Lucas Bali
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1 answer

Feature Standardize in AutoML H2O

I'm wondering how to standardize features when using h2o's AutoML with deep learning and GLM algorithms. Seems it is supported to deep learning and GLM models…
Matthew Son
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R H2o Deep learning CURL error: Timeout was reached

I am running a H2o deep learning model in R (binary classification) using the following grid search code hyper_params <- list( activation = c("Rectifier", "Maxout", "Tanh", "RectifierWithDropout", "MaxoutWithDropout", "TanhWithDropout"), …
Achu A L
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H2O single node Vs cluster

I have recently started learning about H2O AutoML. I am wondering which one of the following options works better. Single node with 6GB of memory or a cluster of three nodes with 2GB memory each. java -Xmx6g -jar h2o.jar -name MyCluster java -Xmx2g…
python dev
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R: how to get the same (high-quality) results from ranger using aligned setting for h2o(.ai) randomForest

tl;df What setting in either R::ranger or h2o.ai::randomForest can account for the very different performances on the exact same data? Background: I'm trying to classify using a somewhat strongly imbalanced dataset, and the measure-of-goodness…
EngrStudent
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H2o AutoML in R: XGBoost is not available; skipping it

I'm trying to run H2o's automl and I want to see the results of XGboost in automl. When I'm trying to run this code: aml1 <- h2o.automl(y = y, x = x, training_frame = train, keep_cross_validation_models = F, seed = 123) I'm getting this…
sm925
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How to disable GPUs in H2O AutoML

When I run an experiment with H2O AutoML, I got the error: "terminate called after throwing an instance of 'thrust::system::system_error' what(): parallel_for failed: invalid resource handle". This error message comes from XGBoost and it is because…
johncasey
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Transformation of data during cross validation

I am using a H20GeneralizedLinearEstimator in h2o.ai. I am planning to use the cross validation built-in option to get cross validated performances. Before fitting the model, I perform some transformations (scaling and translating mainly) that…
Simone Meloni
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1 answer

set reference/base level for categorical variable in H2O model

I am experiencing what appears to be strange behavior while trying to set base/reference levels for a categorical variable in a simple glm model using H2O. To illustrate, I have added a few additional lines to the documentation example for the…
darkness
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Is there a way to specify the folds (using my data) with H2O AutoML?

I'm trying to specify the folds for cross-validation in H20. I want to select the subset from the data to be a specific fold. For example, fold number 1 corresponds to my subject 1 data. The fold number 2 to my subject 2 and so on. Is there a way to…
schavez
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Why is DRF (Distributed Random Forest) slower than XGBoost in h2o automl

I am using H2O Auto ML and while comparing the time for XGBoost and D-RandomForest, DRF is taking a lot more time than XGBoost! Code for DRF: x = hf.columns y = target_metric x.remove(y) aml = H2OAutoML(max_models=1, seed=1,…
Priyadutt Bhatt
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h2o, how to get internal trees when binomial_double_trees is True in python

I'm using the h2o package in Python. When binomial_double_trees == True, I want to know information about internal all trees for a class. This is my parameter: h2o_rfe = H2ORandomForestEstimator(ntrees=3, max_depth=12, min_rows=10,…
김영현
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Is there a way to create a factor table for spline terms using GAMs in Python's h2o

I have fit a GAM model in h2o with several gam variables (P-splines) using the h2o.estimators.gam package. I'd like to get a table with the factor loading for every level of each gam variable. For example, one of my variables is age, and I need a…
Carver Coleman
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Import POJO model with Sparkling Water (Scala)

I am trying to import a POJO model into Sparkling Water. I am currently importing the model by compiling it using: javac -cp /opt/bitnami/commons/pojo.jar -J-Xmx2g -J-XX:MaxPermSize=256m…
Joaquín Romero Moreno
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H2O driverless AI deployment with Snowflake clarification?

I see Snowflake has a partner connect through which I could activate the H2O Driverless AI and access Snowflake from there. I also see that H2O Driverless AI can be independently deployed on any cloud cluster, by we managing our own cluster…
Roshan Fernando
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