added classifier based in complexity metrics

classify_comp

+#!/usr/bin/python3
+#/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+# Authors:
+# Rocío López-Anguita (rlanguit@ujaen.es)
+# Arturo Montejo-Ráez (amontejo@ujaen.es)
+# Centro de Estudios Avanzados en TIC (CEATIC)
+# Universidad de Jaén
+# 2018
+
+import json
+import os
+from ComplexityLanguage import ComplexityLanguage
+from ComplexitySpanish import ComplexitySpanish
+from ComplexityEnglish import ComplexityEnglish
+from ComplexityFrench import ComplexityFrench
+from ComplexityPolish import ComplexityPolish
+from ComplexityItalian import ComplexityItalian
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+from mpl_toolkits.mplot3d import Axes3D
+from sklearn.decomposition import PCA
+from sklearn import preprocessing
+import argparse
+
+parser = argparse.ArgumentParser(description='PAN2018 author identificator based on text complexity metrics')
+parser.add_argument('-i', type=string, help='input directory')
+parser.add_argument('-o', type=string, help='output directory')
+args = parser.parse_args()
+print(args.i, args.o)
+exit()
+print('Loading complexity analyzers for different languages...\n', flush=True)
+mlComplexityText = {
+    'en': ComplexityEnglish(),
+    'sp': ComplexitySpanish(),
+    'fr': ComplexityFrench(),
+    'pl': ComplexityPolish(),
+    'it': ComplexityItalian()
+}
+
+INPUT_DIR = args.i
+OUTPUT_DIR = args.o
+with open(INPUT_DIR+'/collection-info.json', 'r') as f:      
+    collectionInfo = json.load(f)  
+    f.close()
+print(type(collectionInfo))
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