arminius2

/** Cosine similarity **/
private func cosineSim(A: [Double], B: [Double]) -> Double {
    return dot(A: A, B: B) / (magnitude(A: A) * magnitude(A: B))
}

/** Dot Product **/
private func dot(A: [Double], B: [Double]) -> Double {
    var x: Double = 0
    for i in 0...A.count-1 {
        x += A[i] * B[i]

arminius2

import os
import pickle
import warnings

import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from tensorflow.keras.callbacks import EarlyStopping
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Dropout

arminius2

-(float)compareString:(NSString *)originalString withString:(NSString *)comparisonString
{
	// Normalize strings
	[originalString stringByTrimmingCharactersInSet:[NSCharacterSet whitespaceAndNewlineCharacterSet]];
	[comparisonString stringByTrimmingCharactersInSet:[NSCharacterSet whitespaceAndNewlineCharacterSet]];

	originalString = [originalString lowercaseString];
	comparisonString = [comparisonString lowercaseString];

	// Step 1 (Steps follow description at http://www.merriampark.com/ld.htm)