[mlpack-git] [mlpack] KathirvalavakumarSubavathi initialization test (#414)

[Marcus Edel]

1. It should be the same dataset. And yes you have to split the last dimension from the training. 
2. Take a look at the constructor of the FNN class:

```
FFN(LayerType &&network,
  OutputType &&outputLayer,
  InitializationRuleType initializeRule = InitializationRuleType(),
  PerformanceFunction performanceFunction = PerformanceFunction());
```
The third parameter it the object used to initialize the weights. So in your test you should use that parameter, something like this should work:
```
KathirvalavakumarSubavathiInitialization initRule(data, 0.3);
FFN<decltype(modules),
    decltype(classOutputLayer),
    KathirvalavakumarSubavathiInitialization,
    PerformanceFunctionType> net(modules, classOutputLayer, initRule);
```

---
Reply to this email directly or view it on GitHub:
https://github.com/mlpack/mlpack/issues/414#issuecomment-195957988
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