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Alfred Landrum alfred-landrum

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alfred-landrum / README.md
Last active August 29, 2015 14:14 — forked from welch/README.md

Smooth

Exponential smoother/forecaster with de-seasonalization

Smooth models an unobserved level and trend component in a noisy signal, along with optional "seasonal" effects at the level of day-over-day variation. The result is a smoothed version of the signal which may be used to forecast future values or detect unexpected variation.

In this example, we apply our smoother to a sample 10-day timeseries published in Twitter's AnomalyDetection package. The series is 10 days of counts, with a regular daily pattern and occasional surprises (spikes and dips). The Juttle output focuses on the three days around Oct 1.

@alfred-landrum
alfred-landrum / main.juttle
Created December 5, 2014 00:16
bad juttle
hmm, this aint juttle.
@alfred-landrum
alfred-landrum / README.md
Created October 30, 2014 13:28
importing a module within gist

Importing a module within gist context

Uses the import keyword to reference a file that is contained within the loaded gist.

@alfred-landrum
alfred-landrum / README.md
Last active August 29, 2015 14:08
source from file within gist

Sourcing a file within gist context

Uses the source keyword to reference a file that is contained within the loaded gist.

This is gist 1.
info: Welcome to Nodejitsu alfred.sessionbox
info: jitsu v0.13.8, node v0.10.24
info: It worked if it ends with Nodejitsu ok
info: Executing command deploy
info: Analyzing application dependencies in ./apps/run-sbapp.js
info: Creating snapshot 0.0.1-1
info Uploading: [=============================] 100%
error: Error running command deploy
error: npm exited with code 34
error: npm installation failed, please double check your package.json dependencies