use floating point as default result type

JuliaStats · Sep 15, 2013 · 0b2da29 · 0b2da29
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commit 0b2da29
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diff --git a/README.md b/README.md
@@ -6,7 +6,7 @@ A Julia package for evaluating distances(metrics) between vectors.
 
 This package also provides carefully optimized functions to compute column-wise and pairwise distances, which is often faster than a straightforward loop implementation by one or two orders of magnitude. (See the benchmark section below for details).
 
-**Dependencies:** [Devectorize.jl](https://github.com/lindahua/Devectorize.jl)
+**Dependencies:** [NumericExtensions.jl](https://github.com/lindahua/NumericExtensions.jl)
 
 
 ## Supported distances

diff --git a/src/generic.jl b/src/generic.jl
@@ -24,7 +24,7 @@ abstract Metric <: SemiMetric
 
 # Generic functions
 
-result_type(::PreMetric, T1::Type, T2::Type) = promote_type(T1, T2)
+result_type(::PreMetric, T1::Type, T2::Type) = NumericExtensions.to_fptype(promote_type(T1, T2))
 
 
 # Generic column-wise evaluation