[mlpack-git] [mlpack/mlpack] Issue261/lsh test (#605)

[Ryan Curtin]

>      }
> +    if ( !fail )
> +    {
> +      break; //if test passes one time, it is sufficient
> +    }
> +
> +  }
> +  BOOST_REQUIRE(fail == false);
> +   
> +  //Test: Run LSH with varying hash width, keeping all other parameters 
> +  //constant. Compute the recall, i.e. the number of reported neighbors that
> +  //are real neighbors of the query.
> +  //LSH's property is that (with high probability), increasing the hash width
> +  //will increase recall. Epsilon ensures that if noise lightly affects the 
> +  //projections, the test will not fail.

We should probably make this a separate `BOOST_AUTO_TEST_CASE()`, even though we'll have to load the data twice.

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