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https://issues.apache.org/jira/browse/CLIMATE-903?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15938863#comment-15938863
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ASF GitHub Bot commented on CLIMATE-903:
----------------------------------------
GitHub user huikyole opened a pull request:
https://github.com/apache/climate/pull/433
CLIMATE-903 - Adding a module to calculate the least square trend and
standard error
- debugging in dataset_processor
- A new module (utils.calculate_temporal_trends) to calculate the least
square trend and standard error in the input time series.
- A new module (plotter.fill_US_states_with_color) to visualize US NCA
regions
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/huikyole/climate CLIMATE-903
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/climate/pull/433.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #433
----
commit 77674bde27814c63a2d8da32019c92d928be1e12
Author: huikyole <huiky...@argo.jpl.nasa.gov>
Date: 2017-03-23T17:18:27Z
CLIMATE-903 - Adding a module to calculate the least square trend and
standard error
- debugging in dataset_processor
- A new module (utils.calculate_temporal_trends) to calculate the least
square trend and standard error in the input time series.
- A new module (plotter.fill_US_states_with_color) to visualize US NCA
regions
----
> Adding a module to calculate the least square trend and standard error
> ----------------------------------------------------------------------
>
> Key: CLIMATE-903
> URL: https://issues.apache.org/jira/browse/CLIMATE-903
> Project: Apache Open Climate Workbench
> Issue Type: New Feature
> Reporter: Huikyo Lee
> Assignee: Huikyo Lee
>
> A new module to calculate the least square trend and standard error in the
> input time series.
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