> In machine learning it's very common to trade off accuracy for speed. > Andrei
Er... do you _honestly_ think people will start writing machine learning programs in D, when we're even having trouble getting them to use D for more typical applications (because of bugs)? Also, I (obviously) used the word "accuracy" to mean "predictability", not "approximation". If you can't predict whether your program is multiplying the result by zero or by one (because of a lambda template bug in the compiler), that's quite different from having inaccurate floating-point implementations that change the number 1.000 to 0.998. People using D for machine learning might tolerate the latter, but I doubt they can tolerate the former...
