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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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H2O OpenTSDB Connector #11717

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

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

At the moment time series prediction is done through uploading time series csv files through H2O Flow.

Our client suggested that if we have integrate a bridge between H2O Flow and OpenTSDB, it will be easy to ingest time series data from OpenTSDB into H2O ecosystem.

We suggest the following process flow:

  1. Get the metrics list from OpenTSDB HTTP interface...
  2. Select the metric and tag.. Issue a HTTP REST call to OpenTSDB
  3. Gather the JSON HTTP Response data set and Import into the H2O ecosystem by uploading this JSON data set

Please advise to the below. We have resources and willing to implement this functionality into H2O ecosystem.

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

Michal Malohlava commented: Hi, are you planning to make a PR with this functionality?

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

Buğra Çakır commented: Yes, we are going to show H2O.ai functionality to the customer.

hasithjp commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-4838 Assignee: New H2O Bugs Reporter: Buğra Çakır State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A