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Spread Modeling - ML Approach #25

Merged
merged 37 commits into from
Feb 15, 2021
Merged

Spread Modeling - ML Approach #25

merged 37 commits into from
Feb 15, 2021

Commits on Nov 23, 2020

  1. Init spread modeling commit

    AaronDeb committed Nov 23, 2020
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Commits on Nov 25, 2020

  1. misc stash

    AaronDeb committed Nov 25, 2020
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Commits on Nov 30, 2020

  1. Added latest changes

    AaronDeb committed Nov 30, 2020
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Commits on Dec 1, 2020

  1. Fixed filter indexing issue

    AaronDeb committed Dec 1, 2020
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Commits on Dec 5, 2020

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  2. Added keras requirement

    AaronDeb committed Dec 5, 2020
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Commits on Dec 10, 2020

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Commits on Dec 15, 2020

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  3. Merge

    AaronDeb committed Dec 15, 2020
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  4. removed deprecated files

    AaronDeb committed Dec 15, 2020
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Commits on Dec 21, 2020

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  2. Fixed lint/coverage issues

    AaronDeb committed Dec 21, 2020
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  3. Reversed some changes

    AaronDeb committed Dec 21, 2020
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Commits on Dec 22, 2020

  1. Added option to dynamically set the Open/Close columns in the dataset…

    … for futures rolling class and also added the SpreadModelingHelper Class
    AaronDeb committed Dec 22, 2020
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Commits on Dec 29, 2020

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Commits on Jan 21, 2021

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Commits on Jan 22, 2021

  1. Small config file fix

    PanPip committed Jan 22, 2021
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Commits on Feb 10, 2021

  1. Added latest changes.

    AaronDeb committed Feb 10, 2021
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  3. pylint fix

    AaronDeb committed Feb 10, 2021
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  4. another minor pylint fix

    AaronDeb committed Feb 10, 2021
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Commits on Feb 11, 2021

  1. Docs fixes

    AaronDeb committed Feb 11, 2021
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Commits on Feb 12, 2021

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Commits on Feb 13, 2021

  1. fixes for PR comments

    AaronDeb committed Feb 13, 2021
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  2. pylint fixes

    AaronDeb committed Feb 13, 2021
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  3. Added changelog

    AaronDeb committed Feb 13, 2021
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Commits on Feb 15, 2021

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