muvr-mlp-example

podfile

source 'https://github.com/CocoaPods/Specs.git'
platform :ios, '8.4'
use_frameworks!

pod 'MLPNeuralNet', '~> 1.0.0'

predict.m

#import "MLPNeuralNet.h"

// ...

   
// Load sample from file (array of double values representing the feature values)
NSString* samplePath = [[NSBundle mainBundle] pathForResource:@"sample"
                                                 ofType:@"raw"];

NSData *sample = [NSData dataWithContentsOfFile:samplePath];

// Load weights from file. The file is a raw file containing an array of double values
NSString* path = [[NSBundle mainBundle] pathForResource:@"weights"
                                                 ofType:@"raw"];

NSData *weights = [NSData dataWithContentsOfFile:path];

// Check if number of weights is correct
// NSUInteger numberOfWeights = [rawData length] / sizeof(double);

// Setup network

NSArray *layers = [NSArray arrayWithObjects:@1200, @500, @250, @100, @29, nil];
MLPNeuralNet *model = [[MLPNeuralNet alloc] initWithLayerConfig:layers
                                                  weights:weights
                                               outputMode:MLPClassification];
model.activationFunction = MLPReLU;


// Predict output of the model for new sample
NSMutableData * prediction = [NSMutableData dataWithLength:sizeof(double)*29];
[model predictByFeatureVector:sample intoPredictionVector:prediction];

double * assessment = (double *)prediction.bytes;
for (int i = 0; i < 29; ++i) {
    NSLog(@"Assessment %d is %f", i, assessment[i]);
}