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streaming-data

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cybertyche
cybertyche commented Dec 13, 2018

Implement progressive versions of hopping and tumbling windows:

  • Both window macro methods should get added versions that take an additional parameter
  • The parameter should represent the time interval that should be used to produce intermediate results of aggregations
  • The parameter should be a clean divisor of the tumble size for tumbling windows and the hop size for hopping windows
wissousad
wissousad commented Aug 6, 2019

Hello, I have a CSV file that has 9 features and 9 expected targets, and I want to test 2 regression models on this data (that should be generated as a stream).

When I test the MultiTargetRegressionHoeffdingTree and RegressorChain on this data I get a bad R2-score, but when I tried normalizing my data with scikit-learn I get a pretty good R2-score. The problem is that I should not use sci

ohara
konekoya
konekoya commented Aug 5, 2020

With the new API https://styled-components.com/docs/api#transient-props, we can simplify the omitting (filtering) props that are only meant to be consumed by styled components not the underlying components to something:

diff --git a/ohara-manager/client/src/components/Workspace/Card/FileCard.js b/ohara-manager/client/src/components/Workspace/Card/FileCard.js
index c09f4d2c9..b6e2a1084

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