[mlpack-git] [mlpack/mlpack] Added the discretize function. Design changes as discussed. (#703)
Tham
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Fri Jun 24 09:22:56 EDT 2016
> + fraction: fraction of features to use to train each tree
> + n_tree: number of trees in forest to train
> + n_class: number of classes (clusters) for binary splits
> + min_count: minimum number of data points to allow split
> + min_child: minimum number of data points allowed at child nodes
> + max_depth: maximum depth of tree
> + split: options include 'gini', 'entropy' and 'twoing'
> + discretize: optional function mapping structured to class labels
> +
> + stride: stride at which to compute edges
> + sharpen: sharpening amount (can only decrease after training)
> + n_tree_eval: number of trees to evaluate per location
> + nms: if true apply non-maximum suppression to edges
> + */
> +
> + FeatureParameters params = FeatureParameters();
Thanks for the update :+1:
In c++, when you declare an object, it will call the default constructor, so you can just write(Maybe you already know this)
`FeatureParameters params;`
In theory, initialize the object by using constructor is better than using copy assignment, but compiler should be able to optimize it, so it is just a preference of taste now.
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