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Commits on Aug 29, 2019

• Rely on Framing step. Use ProgBar.

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• Make Framing intermediate step. Saves time by doing empath once. Learning is later step

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• ProgBar for clear updates on console

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• Empty folder for pickles

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Commits on Aug 19, 2019

• Basic text of sentencing, tagging, and scoring text

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• textblob needed for sentencing; pos tagging...

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• Split fileIO into filIO and Framing

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Commits on Aug 16, 2019

• Beginning SentTrainer.py

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• Moving to DocTrainer.py

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Commits on Aug 14, 2019

• kNeighbors; split into functions; True vs predict plot; target the concern labels

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• require scoring arg. More stable fitting. dropping duplicate estimators

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• ensure concerns are string types

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Commits on Aug 11, 2019

• Remove old column ordering and unused import

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• Better imports; use ModelChooser; GradientBoost; Beginning of classifiers; autoLabel function

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• Visualize with better methods

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• findOutliers and reduceWithPCA utility funcs

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• Only pause when figures are shown

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• No need for defaultLabels in config

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• Create ModelComparer.py

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• avoid blockInput. Move window

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Commits on Aug 9, 2019

• No need for SVC. print flushing

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• Clean; easier coloring; better plot code

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• better imports; running opts; more models

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Commits on Aug 7, 2019

• better dev startup with AHK

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• small rearrange

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Commits on Jul 27, 2019

• round at end of regression for evaluation

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• cleanup. moving

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• Grid search cross validation for best estimator parameters

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• simpler getting of empath cols for trainer

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• parameter choice grid for most estimators

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• move coloring code next to visualization

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• simpler autolabeling

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Commits on Jul 26, 2019

• symbolic link didn't work anyways

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Commits on Jul 24, 2019

• basic evaluation scoring, incorrects listing

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• coloring of massLabels

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