[feature] verbose mode for similarity transformer

[AlJohri]

I added a verbose mode for the similarity transformer using tqdm. let me know if you want a PR for this. it looks like this when running benchmark.py

the benchmark script takes a rather long time on my computer so I wanted to figure out what was going on and save the model for reuse as well

diff --git a/paradox/benchmark.py b/paradox/benchmark.py
index b0beba2..5922ac7 100644
--- a/paradox/benchmark.py
+++ b/paradox/benchmark.py
@@ -1,3 +1,4 @@
+import logging
 from metrics import pearson, mse
 from pipeline import pipeline
 import k_neighbors_regressor
@@ -5,6 +6,7 @@ import numpy as np
 import similarity
 import parser
 
+logging.basicConfig(level=logging.INFO, format='%(asctime)s %(message)s')
 
 def report(correlations, errors, y_pred_fold):
     print("PC:\t\t\t%0.2f\t(+/- %0.2f)" % (np.mean(correlations),
@@ -28,11 +30,14 @@ def test(model=None, categories=[]):
 pairs = parser.parse(mode="train")
 X = [pair[0] for pair in pairs]
 y = [pair[1] for pair in pairs]
-transformer = similarity.build()
+transformer = similarity.build(verbose=True)
 estimator = k_neighbors_regressor.build(n_neighbors=4)
 p = pipeline(transformers=[transformer], estimator=estimator)
 p.fit(X, y)
 
+import pickle
+with open('model.pickle', 'wb') as f:
+    pickle.dump(p, f)
 
 test(p, categories=["answer-answer"])
 test(p, categories=["question-question"])
diff --git a/paradox/similarity.py b/paradox/similarity.py
index d5b20b5..6496787 100644
--- a/paradox/similarity.py
+++ b/paradox/similarity.py
@@ -41,8 +41,8 @@ def similarity(text1, text2, levels=['surface', 'context']):
     return sims
 
 
-def build(levels=['surface', 'context']):
-    pipeline = Pipeline([('transformer', Similarity(levels=levels))])
+def build(levels=['surface', 'context'], verbose=False):
+    pipeline = Pipeline([('transformer', Similarity(levels=levels, verbose=verbose))])
     return ('similarity', pipeline)
 
 
@@ -52,15 +52,24 @@ def param_grid():
 
 
 class Similarity(BaseEstimator):
-    def __init__(self, levels=['surface']):
+    def __init__(self, levels=['surface'], verbose=False):
         self.levels = levels
+        self.verbose = verbose
 
     def fit(self, X, y):
         return self
 
     def transform(self, X):
         a = []
-        for x in X:
+
+        tqdm = lambda x: x
+        if self.verbose:
+            try:
+                from tqdm import tqdm
+            except ImportError:
+                pass
+
+        for x in tqdm(X):
             a.append(self._transform(x))
         return a

[pasmod]

Thank you for your effort. A PR would be good!

[AlJohri]

@pasmod submitted #33 for verbose mode. may require merging #31 and #32 first. thanks!