GBM plot failed to generate plots

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No description provided.

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Wendy commented: Attached please find Franklin’s code and dataset.

[^GBM - Plot Failure (e8a2f5d4-9dbb-4542-bf34-a9b973a919ab).ipynb]

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Wendy commented: After analyzing the problem, it seems to be that the Jupyter Notebook kernel is killed when the command GBM.plot() or the GBM.varimp_plot(5) is called, the kernal died.

Franklin has caught the following error off his machine:

GBM.plot()
OMP: Error #15: Initializing libiomp5.dylib, but found libomp.dylib already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runtime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see [http://www.intel.com/software/products/support/|https://slack-redir.net/link?url=http%3A%2F%2Fwww.intel.com%2Fsoftware%2Fproducts%2Fsupport%2F].
Abort trap: 6

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Wendy commented: I was able to run the jupyter notebook to completion.

!image-20190813-183557.png|width=553,height=942!

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Franklin Alvarenga commented: This is a temporary solution. I’ll keep investigating more on this issue.

import os
os.environ['KMP_DUPLICATE_LIB_OK']='True'

This is the link where you can find the solutions.

[https://github.com/dmlc/xgboost/issues/1715|https://github.com/dmlc/xgboost/issues/1715|smart-link]

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Franklin Alvarenga commented: I uninstalled and re-installed h2o and it fixed the problem. I followed the next steps, from the documentation:

Install all the dependencies first (this was done before, but just to make sure everything is as it should be):

{code}pip install requests
pip install tabulate
pip install "colorama>=0.3.8"
pip install future{code}

Then, uninstall the previous version of h2o in your machine,

{{pip uninstall h2o}}

and lastly, install the latest stable version,

{{pip install -f http://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o}}

Note: This was done to install version 3.26.0.2

[http://docs.h2o.ai/h2o/latest-stable/h2o-docs/downloading.html|http://docs.h2o.ai/h2o/latest-stable/h2o-docs/downloading.html]

[h2o-ops]

JIRA Issue Migration Info

Jira Issue: PUBDEV-6788
Assignee: Franklin Alvarenga
Reporter: N/A
State: Resolved
Fix Version: N/A
Attachments: Available (Count: 5)
Development PRs: N/A

Attachments From Jira

Attachment Name: GBM - Plot Failure.ipynb
Attached By: Wendy
File Link:https://h2o-3-jira-github-migration.s3.amazonaws.com/PUBDEV-6788/GBM - Plot Failure.ipynb

Attachment Name: GBM - Plot Failure.ipynb
Attached By: Wendy
File Link:https://h2o-3-jira-github-migration.s3.amazonaws.com/PUBDEV-6788/GBM - Plot Failure.ipynb

Attachment Name: GBM - Plot Failure (910ec462-e779-48de-8af7-22ed1c47da7c).ipynb
Attached By: Wendy
File Link:https://h2o-3-jira-github-migration.s3.amazonaws.com/PUBDEV-6788/GBM - Plot Failure (910ec462-e779-48de-8af7-22ed1c47da7c).ipynb

Attachment Name: GBM - Plot Failure (e8a2f5d4-9dbb-4542-bf34-a9b973a919ab).ipynb
Attached By: Wendy
File Link:https://h2o-3-jira-github-migration.s3.amazonaws.com/PUBDEV-6788/GBM - Plot Failure (e8a2f5d4-9dbb-4542-bf34-a9b973a919ab).ipynb

Attachment Name: image-20190813-183557.png
Attached By: Wendy
File Link:https://h2o-3-jira-github-migration.s3.amazonaws.com/PUBDEV-6788/image-20190813-183557.png