fixed wrong dtypes with nonreindex valset

README.md

@@ -108,7 +108,7 @@ recommender.partial_fit(counts_df.loc[counts_df.UserId.isin(users_batch2)])
 recommender.partial_fit(counts_df.loc[counts_df.UserId.isin(users_batch3)])
 
 ## Making predictions
-recommender.topN(user=10, n=10, exclude_seen=True)
+# recommender.topN(user=10, n=10, exclude_seen=True) ## not available when using 'partial_fit'
 recommender.topN(user=10, n=10, exclude_seen=False, items_pool=np.array([1,2,3,4]))
 recommender.predict(user=10, item=11)
 recommender.predict(user=[10,10,10], item=[1,2,3])

hpfrec/__init__.py

@@ -525,9 +525,9 @@ def _process_valset(self, val_set, valset=True):
 									 "in common with the training set.")
 			else:
 				self.val_set.reset_index(drop=True, inplace=True)
-				self.val_set['Count'] = self.val_set.Count.astype('float32')
-				self.val_set['UserId'] = self.val_set.UserId.astype(ctypes.c_int)
-				self.val_set['ItemId'] = self.val_set.ItemId.astype(ctypes.c_int)
+		self.val_set['Count'] = self.val_set.Count.astype('float32')
+		self.val_set['UserId'] = self.val_set.UserId.astype(ctypes.c_int)
+		self.val_set['ItemId'] = self.val_set.ItemId.astype(ctypes.c_int)
 		return None
 
 	def _store_metadata(self, for_partial_fit=False):

setup.py

@@ -27,12 +27,12 @@
    'scipy',
    'cython'
 ],
-  version = '0.2.2.2',
+  version = '0.2.2.3',
   description = 'Hierarchical Poisson matrix factorization for recommender systems',
   author = 'David Cortes',
   author_email = 'david.cortes.rivera@gmail.com',
   url = 'https://github.com/david-cortes/hpfrec',
-  download_url = 'https://github.com/david-cortes/hpfrec/archive/0.2.2.2.tar.gz',
+  download_url = 'https://github.com/david-cortes/hpfrec/archive/0.2.2.3.tar.gz',
   keywords = ['poisson', 'probabilistic', 'non-negative', 'factorization', 'variational inference', 'collaborative filtering'],
   classifiers = [],