minor improvements and fixes in topicmod. examples

.gitignore

@@ -20,3 +20,4 @@ doc/source/data/corpus_norm.pickle
 .coverage
 examples/data/aclImdb_v1.tar.gz
 venv
+examples/data/topicmod_evaluate_*.png

examples/topicmod_ap_nips_eval.py

@@ -1,6 +1,15 @@
 """
 Topic model evaluation for AP and NIPS datasets (http://archive.ics.uci.edu/ml/datasets/Bag+of+Words).
 
+Run as:
+
+    python topicmod_ap_nips_eval.py <dataset> <num. workers> <eta> <alpha numerator>
+
+Where ``<dataset>`` is either ``data/ap.pickle`` or ``data/nips.pickle``, ``<num. workers>`` is the number of worker
+processes to be used (should be >= 1 and <= the number of CPU cores in your machine), eta is the LDA eta (a.k.a. "beta")
+parameter (should be in range (0, 1]) and ``<alpha numerator>`` is used for calculating the  LDA alpha parameter as
+``<alpha numerator> / K`` where K is the number of topics.
+
 This examples requires that you have installed tmtoolkit with the "lda" package.
 
     pip install -U "tmtoolkit[lda]"

examples/topicmod_lda.py

@@ -39,6 +39,7 @@
 
 if os.path.exists(corp_picklefile):
     docs = load_corpus_from_picklefile(corp_picklefile)
+    docs.max_workers = 1.0
 else:
     docs = Corpus.from_builtin_corpus('en-NewsArticles', max_workers=1.0)
     save_corpus_to_picklefile(docs, corp_picklefile)
@@ -89,6 +90,7 @@
 
 if os.path.exists(corp_preproc_picklefile):
     docs = load_corpus_from_picklefile(corp_preproc_picklefile)
+    docs.max_workers = 1.0
 else:
     remove_punctuation(docs)
     corpus_retokenize(docs)
@@ -119,7 +121,7 @@
 
 eval_res_picklefile = 'data/topicmod_lda_eval_res.pickle'
 
-if os.path.exists(dtm_picklefile):
+if os.path.exists(eval_res_picklefile):
     eval_results = unpickle_file(eval_res_picklefile)
 else:
     const_params = {

tmtoolkit/utils.py

@@ -765,9 +765,15 @@ def check_context_size(context_size: Union[int, Tuple[int, int], List[int]]) ->
 
 
 if find_spec('rpy2') is not None:
-    # silence R startup warnings
+    # silence R console writes (but store original functions for manual restoring as `rpy2_default_*`
     import rpy2.rinterface_lib.callbacks
+
+    rpy2_default_consolewrite_warnerror = rpy2.rinterface_lib.callbacks.consolewrite_warnerror
     rpy2.rinterface_lib.callbacks.consolewrite_warnerror = (lambda *args: None)
+    rpy2_default_consolewrite_print = rpy2.rinterface_lib.callbacks.consolewrite_print
+    rpy2.rinterface_lib.callbacks.consolewrite_print = (lambda *args: None)
+    rpy2_default_showmessage = rpy2.rinterface_lib.callbacks.showmessage
+    rpy2.rinterface_lib.callbacks.showmessage = (lambda *args: None)
 
     import rpy2.robjects as robjects
     from rpy2.robjects.packages import importr