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Type: Story
Resolution: Done
Priority: Normal
Fix Version/s: None
Affects Version/s: None
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Sprint:
GLGVO Backlog, GLGVO - 2017 December, GLGVO - 2018 January Sprint, GLGVO - 2018 February
Epic Link:
Phase V - Task E - Develop a computational model page to execute Prof. McIssac's models and test the models with new state data

Based on the meeting we had with Dr. McIssac

Notes: https://opensource.ncsa.illinois.edu/confluence/display/GLGVO/2017-12-04+-+Nutrient+Modeling

We will be addressing the initial Action Items for integrating a model into GLTG

Action Items:

- Michelle will be the point person for learning models from NCSA side

- Michelle will coordinate with Dr. McIssac to acquire data and any analysis (excel model, R code, input data, and any necessary instructions, etc.)

- Michelle will set up and run the model as a stand alone here to replicate results

- Michelle will coordinate with Dr. McIssac to confirm outputs are correct and we are implementing the model correctly

At that point we will be able to determine how best to integrate it into GLTG

is related to

GLGVO-397 Learning Models - Step 1

Done

GLGVO-398 Run Model Locally - Step 2

Done

GLGVO-399 Port the Model to Python Code - Step 3

Done

GLGVO-415 Utilize Data Wolf for Model Implementation - Step 4

Done

GLGVO-427 Update Python Model Code to Use Clowder Data

Done

GLGVO-457 Full State Statistics

Done

GLGVO-403 Implement the Model in Our Platform - Step 5

Done

GLGVO-433 Get or Locate Clowder Data for the Model - Step 6

Done

mentioned in: Page Loading...; Page Loading...; Page Loading...

(3 is related to, 3 mentioned in)

Assignee:: Unassigned

Reporter:: Shannon Bradley

Votes:: 0 Vote for this issue

Watchers:: 1 Start watching this issue

Created:: 06/Dec/17 4:37 PM

Updated:: 09/Dec/19 10:24 AM

Resolved:: 09/Dec/19 10:24 AM

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