Windows Presentation Foundation (WPF) plug-in for Mozilla browsers.Yahoo Application State Plugin version 1.0.0.7.Adobe Shockwave for Director Netscape plug-in, version 11.5.RealNetworks(tm) RealDownloader HTML5VideoShim Plug-In.RealNetworks(tm) RealDownloader PepperFlashVideoShim Plug-In.RealNetworks(tm) RealDownloader Chrome Background Extension Plug-In.For more information, visit the QuickTime Web site. The QuickTime Plugin allows you to view a wide variety of multimedia content in Web pages.RealPlayer(tm) LiveConnect-Enabled Plug-In.Adobe PDF Plug-In For Firefox and Netscape 11.0.02.Next Generation Java Plug-in 10.21.2 for Mozilla browsers." > from nltk.More system details Additional System Details Installed Plug-ins " \"\"\"Krippendorff's interval distance metric \n ", "def interval_distance(label1,label2): \n ", " return (1 - (len_intersection / float(len_union))) * m \n ", " elif len_intersection = min(len_label1, len_label2): \n ", " if len_label1 = len_label2 and len_label1 = len_intersection: \n ", " len_union = len(label1.union(label2)) \n ", " len_intersection = len(label1.intersection(label2)) \n ", " Passonneau 2006, Measuring Agreement on Set-Valued Items (MASI) \n ", " > from trics import masi_distance \n ", " \"\"\"Distance metric that takes into account partial agreement when multiple \n ", "def masi_distance(label1, label2): \n ", " return (len(label1.union(label2)) - len(label1.intersection(label2)))/len(label1.union(label2)) \n ", " \"\"\"Distance metric comparing set-similarity. "def jaccard_distance(label1, label2): \n ", " substitution_cost=substitution_cost, transpositions=transpositions) \n ", " :param transpositions: Whether to allow transposition edits \n ", " :param s1, s2: The strings to be analysed \n ", " This also optionally allows transposition edits (e.g., \"ab \" -> \"ba \"), \n ", " because sometimes it makes sense to assign greater penalties to substitutions. " Allows specifying the cost of substitution edits (e.g., \"a \" -> \"b \"), \n ", " been done in other orders, but at least three steps are needed. " consisting of two substitutions and one insertion: \n ", " example, transforming \"rain \" to \"shine \" requires three steps, \n ", " substituted, inserted, or deleted, to transform s1 into s2. " The edit distance is the number of characters that need to be \n ", " Calculate the Levenshtein edit-distance between two strings. "def edit_distance(s1, s2, substitution_cost=1, transpositions=False): \n ", " if transpositions and i > 1 and j > 1: \n ", " d = c 1 # never picked by default \n ", " c = lev (substitution_cost if c1 != c2 else 0) \n ", "def _edit_dist_step(lev, i, j, s1, s2, substitution_cost=1, transpositions=False): \n ", " lev.append( * len2) # initialize 2D array to zero \n ", "words, sentences, sentences_index, sentences_index_dict = read_data(filename) \n ", " return words, sentences, sentences_index, sentences_index_dict \n ", " sentences_index.append((sentence_count, word_count)) \n ", " sentences_index_dict = len(words) - 1 \n ", " if word.isalpha() and not word.isupper(): \n ", " # index in words => (sentence_index_in_sentences, word_index_in_sentence) \n ", " # (sentence_index_in_sentences, word_index_in_sentence) => index in words \n ", " # all words in order of apparence (repeated) \n ", " sentences_index: list, each element how to find that word in sentences: (4,3) word 3 in sentence 4 \n ", " sentences: list of lists, each list a sentence \n ", " \"\"\"Extract all words all alpha and not uppercase \n ", "photoUrl": "///-cCJa7dTDcgQ/AAAAAAAAAAI/AAAAAAAACgw/r2EZ_8oYer4/s50-c-k-no/photo.jpg ", "Download the data from the source website if necessary. "from _future_ import print_function \n ", "# These are all the modules we'll be using later. "Unless you have NVidia, it's CPU because Tensorflow does not support OpenCL. "Accept list of lists of keyword and predict the similarity of keywords according to their companions.
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