yashu-seth commented on this pull request.
> + for(size_t i = 0; i < N; i++)
+ probabilities(i) = prob(generator);
+
+ // fit results with probabilities and data
+ GammaDistribution gDist;
+ gDist.Train(rdata, probabilities);
+
+ // fit results with only data
+ GammaDistribution gDist2;
+ gDist2.Train(rdata);
+
+ BOOST_REQUIRE_CLOSE(gDist2.Alpha(0), gDist.Alpha(0), 10);
+ BOOST_REQUIRE_CLOSE(gDist2.Beta(0), gDist.Beta(0), 10);
+
+ BOOST_REQUIRE_CLOSE(alphaReal, gDist.Alpha(0), 10);
+ BOOST_REQUIRE_CLOSE(betaReal, gDist.Beta(0), 10);
@rcurtin I just checked closer tolerances are not working. A tolerance less
than 10 does not pass all the tests.
I forgot to add ```gDist.Alpha(1)``` and ```gDist.Beta(1)```. I will add the
checks.
--
You are receiving this because you commented.
Reply to this email directly or view it on GitHub:
https://github.com/mlpack/mlpack/pull/834
_______________________________________________
mlpack mailing list
[email protected]
http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
