vendor/tomotopy/src/Labeling/Phraser.hpp in tomoto-0.2.2 vs vendor/tomotopy/src/Labeling/Phraser.hpp in tomoto-0.2.3

@@ -314,11 +314,11 @@
 						vocabFreqs, vocabDf, validPairs, candMinCnt, candMinDf, maxNgrams
 					);
 				}
 			}
 
-			float totN = std::accumulate(vocabFreqs.begin(), vocabFreqs.end(), (size_t)0);
+			float totN = (float)std::accumulate(vocabFreqs.begin(), vocabFreqs.end(), (size_t)0);
 			const float logTotN = std::log(totN);
 
 			// calculating PMIs
 			std::vector<label::Candidate> candidates;
 			for (auto& p : bigramCnt)
@@ -487,11 +487,11 @@
 				npmi /= std::log(totN / p.second);
 				if (npmi < minNPMI) continue;
 
 				float rbe = branchingEntropy(trieNodes[0].getNext(bigram.first)->getNext(bigram.second), candMinCnt);
 				float lbe = branchingEntropy(trieNodesBw[0].getNext(bigram.second)->getNext(bigram.first), candMinCnt);
-				float nbe = std::sqrt(rbe * lbe) / std::log(p.second);
+				float nbe = std::sqrt(rbe * lbe) / (float)std::log(p.second);
 				if (nbe < minNBE) continue;
 				candidates.emplace_back(npmi * nbe, bigram.first, bigram.second);
 				candidates.back().cf = p.second;
 				candidates.back().df = bigramDf[bigram];
 			}
@@ -510,10 +510,10 @@
 					npmi /= (logTotN - std::log((float)node->val)) * (rkeys.size() - 1);
 					if (npmi < minNPMI) return;
 
 					float rbe = branchingEntropy(node, candMinCnt);
 					float lbe = branchingEntropy(trieNodesBw[0].findNode(rkeys.rbegin(), rkeys.rend()), candMinCnt);
-					float nbe = std::sqrt(rbe * lbe) / std::log(node->val);
+					float nbe = std::sqrt(rbe * lbe) / (float)std::log(node->val);
 					if (nbe < minNBE) return;
 					candidates.emplace_back(npmi * nbe, rkeys);
 					candidates.back().cf = node->val;
 				}, rkeys);
 			}