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predictivetext's Introduction

PredictiveText

What I learned:

  • Studied and implemented a basic predictive text algorithm that form the basis for machine learning and autocomplete functions in search and mobile phones
  • Studied and implemented interfaces to reduce common code, avoid duplicating code, and supply default functionality when possible
  • Studied and implemented abstract classes to allow for extensibility of future code, and that can capture common code that an interface cannot
  • Learned and implemented HashMaps to improve algorithm efficiency

Errors I came across:

  • Generating random text was different than from other examples. This was due to an implementation difference. For cases where n > 1 words were used to generate random text, I had generated each word up to n randomly, thereby creating starting keys that were not contained within the source text. Other implementations had sourced the starting key from a singular random selection of text containing n words.
  • One of my first implementations used mutable String[] arrays as keys to the HashMap. After switching the keys to immutable Strings, I had realized that the issue was with the mutability of the keys.

predictivetext's People

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