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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

cloudflow
michaelpnash
michaelpnash commented Apr 23, 2020

It is currently hard for users to track which versions of dependencies they are getting and which versions they should use when adding extra dependencies to their projects. This results in code like this in our own example projects:

libraryDependencies ++= Seq(
        "com.lightbend.akka"     %% "akka-stream-alpakka-file"  % "1.1.2",
        "com.typesafe.akka"      %% "akka-http-spray-js
ohara
konekoya
konekoya commented Jul 24, 2020
diff --git a/ohara-common/src/main/java/oharastream/ohara/common/setting/SettingDef.java b/ohara-common/src/main/java/oharastream/ohara/common/setting/SettingDef.java
index a99624353..9fb5e717d 100644
--- a/ohara-common/src/main/java/oharastream/ohara/common/setting/SettingDef.java
+++ b/ohara-common/src/main/java/oharastream/ohara/common/setting/SettingDef.java
@@ -681,7 +681,7 @@ pu

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