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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.
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Flow shows error when model metrics are fetched #14541

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

exalate-issue-sync[bot] commented 1 year ago
  1. Open flow
  2. Run embedded DeepLearning example flow
  3. type 'getPredictions'
  4. click on any model metrics
  5. enjoy error message (see screenshot):

Error processing GET /3/ModelMetrics/models/deeplearning-d88b98bb-b569-43dd-a6bb-fefa354ae467/frames/test.hex.deeplearning-d88b98bb-b569-43dd-a6bb-fefa354ae467.temporary.valid.chunks32

Cannot read property 'name' of null

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

Raymond Peck commented: Looks like it might not handle the case where the frame has been removed. This can happen when the metrics are computed on an ephemeral frame during model building.

DinukaH2O commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-1570 Assignee: Prithvi Prabhu Reporter: Michal Malohlava State: Open Fix Version: N/A Attachments: Available (Count: 1) Development PRs: N/A

Attachments From Jira

Attachment Name: Screen Shot 2015-06-29 at 2.51.19 PM.png Attached By: Michal Malohlava File Link:https://h2o-3-jira-github-migration.s3.amazonaws.com/PUBDEV-1570/Screen Shot 2015-06-29 at 2.51.19 PM.png