| No. | Item | Description | Link | Open |
|---|
| 1 | Improved error message for Elastic Net predict() | When we pass the selected coefficients to elastic net's "predict()" function, it throws as ugly error message which is not indicative of the real error. | https://issues.apache.org/jira/browse/| Jira |
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| server | ASF JIRA |
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| columns | key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution |
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| serverId | 5aa69414-a9e9-3523-82ec-879b028fb15b |
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| key |
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|
| Open |
| 2 | Confusing Error Messages while running elastic net prediction function | Fix confusing error message | https://issues.apache.org/jira/browse/| Jira |
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| server | ASF JIRA |
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| columns | key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution |
|---|
| serverId | 5aa69414-a9e9-3523-82ec-879b028fb15b |
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| key |
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|
| Open |
| 3 | LDA (parsed) model table and output table disagree | Investigate and determine if this is an issue. If it is, repair it. | https://issues.apache.org/jira/browse/| Jira |
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| server | ASF JIRA |
|---|
| columns | key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution |
|---|
| serverId | 5aa69414-a9e9-3523-82ec-879b028fb15b |
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| key |
|---|
|
| Open |
| 4 | PivotalR test failures indicate potential bugs in MADlib GLM | These problems may be just numerical issues with too large the condition numbers or too small of a training set. To be investigated. | https://issues.apache.org/jira/browse/| Jira |
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| server | ASF JIRA |
|---|
| columns | key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution |
|---|
| serverId | 5aa69414-a9e9-3523-82ec-879b028fb15b |
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| key |
|---|
|
| Open |
| 5 | Implement skipping of arrays-with-NULL for elastic net predict | Better NULL handling for elastic net predict. | https://issues.apache.org/jira/browse/| Jira |
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| server | ASF JIRA |
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| serverId | 5aa69414-a9e9-3523-82ec-879b028fb15b |
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| key |
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|
| Open |
| 6 | Improve RF output format for variable importance | Easier way of accessing the variable importance output from random forest so that I can understand which are the most important variables. | https://issues.apache.org/jira/browse/| Jira |
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| server | ASF JIRA |
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| columns | key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution |
|---|
| serverId | 5aa69414-a9e9-3523-82ec-879b028fb15b |
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| key |
|---|
|
| Open |
| 7 | Covariance matrix | Add parameter to output covariance matrix to Pierson's correlation function. | https://issues.apache.org/jira/browse/| Jira |
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| server | ASF JIRA |
|---|
| columns | key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution |
|---|
| serverId | 5aa69414-a9e9-3523-82ec-879b028fb15b |
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| key |
|---|
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| Open |
| 8 | | | | |