@@ -1093,7 +1093,7 @@ def replacement_vt_train(self, x):
10931093 self .train_c (n , swig_ptr (x ))
10941094
10951095 replace_method (the_class , 'train' , replacement_vt_train )
1096- # apply is reserved in Pyton ...
1096+ # apply is reserved in Python ...
10971097 the_class .apply_py = apply_method
10981098 the_class .apply = apply_method
10991099 replace_method (the_class , 'reverse_transform' ,
@@ -1164,7 +1164,7 @@ def replacement_train_inplace(self, x):
11641164 The index must be trained before vectors can be added to it.
11651165
11661166 This call WILL change the values in the input array, because
1167- of two scaling proceduces being performed inplace.
1167+ of two scaling procedures being performed inplace.
11681168
11691169 Parameters
11701170 ----------
@@ -1262,7 +1262,7 @@ def handle_SearchParameters(the_class):
12621262 """ this wrapper is to enable initializations of the form
12631263 SearchParametersXX(a=3, b=SearchParamsYY)
12641264 This also requires the enclosing class to keep a reference on the
1265- sub-object, since the C++ code assumes the object ownwership is
1265+ sub-object, since the C++ code assumes the object ownership is
12661266 handled externally.
12671267 """
12681268 the_class .original_init = the_class .__init__
@@ -1314,7 +1314,7 @@ def replacement_insert(self, codes, inserted=None):
13141314 replace_method (the_class , 'insert' , replacement_insert )
13151315
13161316######################################################
1317- # Syntatic sugar for NeuralNet classes
1317+ # Syntactic sugar for NeuralNet classes
13181318######################################################
13191319
13201320
@@ -1405,7 +1405,7 @@ def from_array(self, array, bias=None):
14051405 the_class .from_torch = from_torch
14061406
14071407######################################################
1408- # Syntatic sugar for QINCo and QINCoStep
1408+ # Syntactic sugar for QINCo and QINCoStep
14091409######################################################
14101410
14111411
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