Progress for week 43 (2015)

From Robin

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(Tomas Renaa)
Line 44: Line 44:
* Azure ML vs SciKitLearn vs RapidMiner
* Azure ML vs SciKitLearn vs RapidMiner
=== Accounting ===
=== Accounting ===
 +
* Finised data validation
 +
* Made cool graphs!!!
 +
* Learned about bonesa
== Tomas Renaa ==
== Tomas Renaa ==

Revision as of 12:19, 27 October 2015

Contents

Student template (copy this for your entry)

Budget

  • Todo 1
  • Todo 2

Accounting

  • Done 1
  • Done 2

Eirik Sundet

Budget

  • Continue on the work started on last week:
    • 1: Implement update function for the Gaussian model
    • 2: Implement Mixture-of-Gaussian classifier
    • 3: Update implementation for video compatibility.
    • 4: Test parameters for processing speed and accuracy

Accounting

  • Done 1
  • 2 - In progress
  • Done 3
  • 4 - In progress

Per Wessel

Budget

  • Plan data gathering
  • Test preprocessing techniques rapidminer
  • Test statistical methods in rapidminer
  • Try to manual label data to test ANN/SVM

Accounting

  • Done 1
  • On going
  • On going
  • not done
  • I got some new data considering exposures i different environment like humidity and temperature, worked on finding correlations, and merging data.


Magnus Olden

Budget

  • Finish data validation
  • First learning algorithm
  • Try Bonesa
  • Azure ML vs SciKitLearn vs RapidMiner

Accounting

  • Finised data validation
  • Made cool graphs!!!
  • Learned about bonesa

Tomas Renaa

Budget

  • Look at different EA implementations packages
  • Read about QEA
  • Set up SDK etc on robot

Accounting

  • Done but not decided on implementations
  • Partial on SDK etc

Fredrik

= Budget

  • Further explore simulator and limit choices
  • Get hands on robot and explore capabilities to extend for sensors, and the capabilities of the servos

Accounting

Vegard

Budget

  • Integrate the HDL simulation with GA application, prepare for testing in November
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