spikeekips

#
# Reboot into recovery mode (cmd +r )  and in the terminal
#
nvram boot-args="serverperfmode=1 ncl=262144"
#reboot



#
# In regular mode

spikeekips

import org.apache.spark.ml.feature.{CountVectorizer, RegexTokenizer, StopWordsRemover}
import org.apache.spark.mllib.clustering.{LDA, OnlineLDAOptimizer}
import org.apache.spark.mllib.linalg.Vector

import sqlContext.implicits._

val numTopics: Int = 100
val maxIterations: Int = 100
val vocabSize: Int = 10000

spikeekips

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

spikeekips

--[[
Graphs disk usage data containing fields entield `DiskSize`, `DiskUsed`,
`DiskAvailable`, and `DiskPercentUsed`
Config:

- sec_per_row (uint, optional, default 60)
    Sets the size of each bucket (resolution in seconds) in the sliding window.

- rows (uint, optional, default 1440)
    Sets the size of the sliding window i.e., 1440 rows representing 60 seconds

spikeekips

require "cjson"
local dt = require "date_time"

--[[

From trink in IRC - thanks!

Example use:
[HttpListenInput]
address = "0.0.0.0:8325"