h2oai / h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
http://h2o.ai
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Unable to list models in Flow #9143

Open exalate-issue-sync[bot] opened 1 year ago

exalate-issue-sync[bot] commented 1 year ago

Run a GBM binomial classification:

{code} bank = h2o.importFile(path = "https://s3.amazonaws.com/h2o-public-test-data/smalldata/demos/bank-additional-full.csv") bank["y"] <- h2o.ifelse(bank["y"] == "yes", "1", "0") predictors = 1:20 target="y" gbm <- h2o.gbm(y = target, x = predictors, training_frame = bank, model_id = "gbm.hex", nfolds= 5, seed = 1234, ntrees = 1000) {code}

Go to Flow and list all models while the model is being built.

Attached a screenshot with a failure

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-6487 Assignee: New H2O Bugs Reporter: Michal Kurka State: Open Fix Version: N/A Attachments: Available (Count: 1) Development PRs: N/A

Attachments From Jira

Attachment Name: Screen Shot 2019-05-09 at 1.55.26 PM.png Attached By: Michal Kurka File Link:https://h2o-3-jira-github-migration.s3.amazonaws.com/PUBDEV-6487/Screen Shot 2019-05-09 at 1.55.26 PM.png