Also dont train on whitepapers

caliGraph.py

@@ -795,7 +795,7 @@ def waveFlow(G, node, n, dist, menge, firstEdge=False):
         if node in bestlist or node in keeplist:
             waveFlow(G, node, m, dist, menge, firstEdge=firstEdge)
 
-def evaluateFitness(books, debugPrint=False):
+def evaluateFitness(books, debugPrint=False, ignoreWhitepapers=True):
     global weights
     G = buildBookGraph(books)
     graphAddAuthors(G, books)
@@ -804,6 +804,9 @@ def evaluateFitness(books, debugPrint=False):
     graphAddSeries(G, books)
     graphAddTags(G, books)
 
+    if ignoreWhitepapers:
+        removeWhitepapers(G)
+
     ratedBooks = [n for n in list(G.nodes) if 'rating' in G.nodes[n] and G.nodes[n]['rating'] != None]
     boundsLoss = 0
     linSepLoss = []