@@ -15,17 +15,24 @@ def get_overlap(arr1: List, arr2: List) -> (int, int, int, int, int):
1515 false_negative_overlap = np .sum (np .logical_and (arr1 == 0 , arr2 == 1 ))
1616 return total_overlap , true_positive_overlap , true_negative_overlap , false_positive_overlap , false_negative_overlap
1717
18+ # def graph_visualize(mat):
19+
1820if __name__ == "__main__" :
1921 # print(get_overlap([1,1,1,0,0], [1,0,1,1,0]))
2022 results = {"true_positive_overlap" : np .zeros ((5 , 5 )),
2123 "true_negative_overlap" : np .zeros ((5 , 5 )),
2224 "false_positive_overlap" : np .zeros ((5 , 5 )),
2325 "false_negative_overlap" : np .zeros ((5 , 5 ))}
2426
25- file_names = ["only_sentiment/only_sentiment_out.csv" ,
26- "only_sarcasm/only_sarcasm_out.csv" ,
27- "only_humour/only_humour_out.csv" ,
28- "only_hate_speech/only_hate_speech_out.csv" ]
27+ # file_names = ["only_sentiment/only_sentiment_out.csv",
28+ # "only_sarcasm/only_sarcasm_out.csv",
29+ # "only_humour/only_humour_out.csv",
30+ # "only_hate_speech/only_hate_speech_out.csv"]
31+
32+ file_names = ["/home/nishitasnani/shawn-na-repo/cnn-text-classification-pytorch/final_snapshot_sentiment_out.csv" ,
33+ "./sentiment_hate_speech_humour_sarcarm2/test_sentiment_hate_speech_humour_sarcarm2.csv" ,
34+ "/home/nishitasnani/shawn-na-repo/cnn-text-classification-pytorch/final_snapshot_2_sarc.csv" ,
35+ "/home/nishitasnani/shawn-na-repo/cnn-text-classification-pytorch/final_snapshot_sarc_humor.csv" ]
2936
3037 all_arrays = {}
3138 targets = None
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