January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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Step 4 - Exploratory analysis of the dataset
Now let's see some statistics about the number of training series (as described earlier, this is with 50% overlap between each series), number of test series, number of timesteps per series, and number of input parameters per timestep:
val trainingDataCount = trainData.length // No. of training series
val testDataCount = testData.length // No. of testing series
val nSteps = trainData(0).length // No. of timesteps per series
val nInput = trainData(0)(0).length // No. of input parameters per timestep println("Number of training series: "+ trainingDataCount) println("Number of test series: "+ testDataCount) println("Number of timestep per series: "+ nSteps) println("Number of input parameters per ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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