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Commits on Apr 15, 2017

• adding tex version of finalized thesis

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  JamesEarle

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Commits on May 4, 2016

• final version, ready for presentation

  JamesEarle

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Commits on May 3, 2016

• finalized draft of thesis defense, sent to ross. Need to add more notes and timing

  JamesEarle

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Commits on May 2, 2016

• draft sent to ross

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• added aggregate tables and improved structure of experiments

  JamesEarle

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• more graphs, all langs in one table but results will be dispersed and then fitness in one final table comparatively

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Commits on May 1, 2016

• added exp1 images to powerpoint, as well as formatting beginnings for the references slide.

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Commits on Apr 30, 2016

• intro, GP and ensemble learning with outlier graphs

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• init powerpoint for defense

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Commits on Apr 28, 2016

• thesis final draft

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Commits on Apr 11, 2016

• adjusted indexing for time lagged variables

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Commits on Apr 6, 2016

• exp2 graphs and summary statistics. Already on ShareLaTeX

  JamesEarle

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Commits on Mar 24, 2016

• with IFLT pngs added, folder structure updated

  JamesEarle

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• MovingSum compared to MovingAverage. TODO get python sheets automation to receive testing range as parameter

  JamesEarle

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• directory cleanup

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• extra inputs for varying training-testing data sizes

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• more experiment data, 'fixed' avg

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• Skew and SkewPipeline additions

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Commits on Mar 22, 2016

• saving experiment data separately. polished the automation of spreadsheets

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• sheets automation now calculates ensemble std fitness for average and median approaches

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• automated ensemble data formatting in spreadsheets with sheets.py using openpyxl

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Commits on Mar 21, 2016

• Python automation of stats sheets in progress. Input data column setup, need to work on spacing for ensemble

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• added low and open functions

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Commits on Mar 18, 2016

• sample file for producing sheets using openpyxl, read from docs-img/ output files and setup data.

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• added FinancialDataReader class, to keep main class DRY.

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• removed output array in Pipeline parent class. Reads performed from values instead

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• runs without min and max, with volume traded. get Python + Excel working.

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Commits on Mar 16, 2016

• added VolumeTradedPipeline. Testing, because weird results from Max and Min pipelines

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• added DJIA indexes, deleted some out files

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Commits on Mar 8, 2016

• minor updates

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Commits on Mar 3, 2016

• index changes for deleted inds in ensemble.py, also count of individuals

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• updated ensemble.py with more data. Normality testing will begin soon

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Commits on Mar 2, 2016

• modified some .png and spreadsheets for outlier images

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Commits on Mar 1, 2016

• Keep that code DRY. Methods, not repetitive loops!

  JamesEarle

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• Improved Python stats calculations. Outlier detection using 2-sigma rule

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