February 2018
Intermediate to advanced
378 pages
10h 14m
English
Content preview from Machine Learning with Swift
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Word2Vec on iOS
The original implementation is written in C, so I added a simple Objective-C wrapper:
@interface W2VDistance : NSObject - (void)loadBinaryVectorFile:(NSURL * _Nonnull) fileURL error:(NSError *_Nullable* _Nullable) error; - (NSDictionary <NSString *, NSNumber *> * _Nullable)closestToWord:(NSString * _Nonnull) word numberOfClosest:(NSNumber * _Nullable) numberOfClosest; - (NSDictionary <NSString *, NSNumber *> * _Nullable)analogyToPhrase:(NSString * _Nonnull) phrase numberOfClosest:(NSNumber * _Nullable) numberOfClosest; @end private func getW2VAnalogy(sentence: String) -> String? { guard let words = word2VecProvider?.analogy(toPhrase: sentence, numberOfClosest: 1)?.keys else { return nil } return Array(words).last } private ...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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