January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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Wrapping up by executing the main() method
Let's wrap up the overall discussion by watching the performance of our model. The following code is an overall glimpse:
package Yelp.Classifierimport Yelp.Preprocessor.CSVImageMetadataReader._import Yelp.Preprocessor.featureAndDataAlignerimport Yelp.Preprocessor.imageFeatureExtractor._import Yelp.Evaluator.ResultFileGenerator._import Yelp.Preprocessor.makeND4jDataSets._import Yelp.Evaluator.ModelEvaluation._import Yelp.Trainer.CNNEpochs._import Yelp.Trainer.NeuralNetwork._object YelpImageClassifier { def main(args: Array[String]): Unit = { // image processing on training data val labelMap = readBusinessLabels("data/labels/train.csv") val businessMap = readBusinessToImageLabels("data/labels/train_photo_to_biz_ids.csv") ...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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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.