Weighting weights makes no sense after all. Also eigen has more unuse…

…d typedefs.

lm/interpolate/tune_main.cc

@@ -2,7 +2,10 @@
 #include "lm/interpolate/tune_instance.hh"
 #include "util/file.hh"
 
+#pragma GCC diagnostic push
+#pragma GCC diagnostic ignored "-Wunused-local-typedefs"
 #include <Eigen/Dense>
+#pragma GCC diagnostic pop
 #include <boost/program_options.hpp>
 
 #include <cmath>
@@ -20,7 +23,7 @@ void TuneWeights(int tune_file, const std::vector<StringPiece> &model_names, Vec
   for (std::size_t iteration = 0; iteration < 10 /*TODO fancy stopping criteria */; ++iteration) {
     std::cerr << "Iteration " << iteration << ": weights =";
     for (Vector::Index i = 0; i < weights.rows(); ++i) {
-      std::cerr << ' ' << (weights(i) * M_LN10);
+      std::cerr << ' ' << weights(i);
     }
     std::cerr << std::endl;
     std::cerr  << "Perplexity = " <<
@@ -29,8 +32,6 @@ void TuneWeights(int tune_file, const std::vector<StringPiece> &model_names, Vec
     // TODO: 1.0 step size was too big and it kept getting unstable.  More math.
     weights -= 0.7 * hessian.inverse() * gradient;
   }
-  // Internally converted to ln, which is equivalent to upweighting.
-  weights *= M_LN10;
 }
 }} // namespaces