seqmetric


Nameseqmetric JSON
Version 0.1.2 PyPI version JSON
download
home_pagehttps://github.com/ssbuild
Summaryseq is a seq eval package
upload_time2022-11-25 09:26:07
maintainer
docs_urlNone
authorssbuild
requires_python>=3, <4
licenseApache 2.0
keywords seqmetric seq metric seq ner metric metric ner
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            seq is a seq eval package

```py
# -*- coding: utf-8 -*-
import sys
import numpy as np
sys.path.append('..')
from seqmetric.scheme import IOBS,IOBES,IOB2
from seqmetric.metrics import classification_report,f1_score

#场景1
mode = 2
trues = [['O', 'O', 'B-MISC', 'I-MISC', 'B-MISC', 'O', 'O'], ['B-PER', 'I-PER', 'O']]
preds = [['O', 'O', 'B-MISC', 'I-MISC', 'B-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER', 'O']]

if mode == 0:
    scheme = IOBES
elif mode == 1:
    scheme = IOBS
else:
    scheme = IOB2
f1 = f1_score(trues, preds, average='weighted',scheme=scheme)
report = classification_report(trues, preds, scheme=scheme,digits=4)
print(f1)
print(report)

from seqmetric.metrics import pointer_report,report_metric,get_report_from_string,spo_report

# 场景2

label_list = ['0','1']

trues = [
         [(0 , 10,20 ),],
         [(0 , 10,20)],
         [],
         [(1,100,201)]
         ] # label_id ,start ,end

preds = [
         [(0 , 10,20 ),],
         [],
         [(1,100,200)],
         []
         ]

str_report = pointer_report(trues, preds, label_list)
print(str_report)



report = get_report_from_string(str_report)
print(report)



label_list = ['0','1']
trues = [
    [(0, 10,0,20,30),],
    [(1, 10, 0, 20, 30), ]
]

preds = [
    [(0, 10, 0, 20, 30), ],
    [
    ],
]

str_report = spo_report(trues,preds,label_list=label_list)
print(str_report)
```



            

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    "description": "seq is a seq eval package\n\n```py\n# -*- coding: utf-8 -*-\nimport sys\nimport numpy as np\nsys.path.append('..')\nfrom seqmetric.scheme import IOBS,IOBES,IOB2\nfrom seqmetric.metrics import classification_report,f1_score\n\n#\u573a\u666f1\nmode = 2\ntrues = [['O', 'O', 'B-MISC', 'I-MISC', 'B-MISC', 'O', 'O'], ['B-PER', 'I-PER', 'O']]\npreds = [['O', 'O', 'B-MISC', 'I-MISC', 'B-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER', 'O']]\n\nif mode == 0:\n    scheme = IOBES\nelif mode == 1:\n    scheme = IOBS\nelse:\n    scheme = IOB2\nf1 = f1_score(trues, preds, average='weighted',scheme=scheme)\nreport = classification_report(trues, preds, scheme=scheme,digits=4)\nprint(f1)\nprint(report)\n\nfrom seqmetric.metrics import pointer_report,report_metric,get_report_from_string,spo_report\n\n# \u573a\u666f2\n\nlabel_list = ['0','1']\n\ntrues = [\n         [(0 , 10,20 ),],\n         [(0 , 10,20)],\n         [],\n         [(1,100,201)]\n         ] # label_id ,start ,end\n\npreds = [\n         [(0 , 10,20 ),],\n         [],\n         [(1,100,200)],\n         []\n         ]\n\nstr_report = pointer_report(trues, preds, label_list)\nprint(str_report)\n\n\n\nreport = get_report_from_string(str_report)\nprint(report)\n\n\n\nlabel_list = ['0','1']\ntrues = [\n    [(0, 10,0,20,30),],\n    [(1, 10, 0, 20, 30), ]\n]\n\npreds = [\n    [(0, 10, 0, 20, 30), ],\n    [\n    ],\n]\n\nstr_report = spo_report(trues,preds,label_list=label_list)\nprint(str_report)\n```\n\n\n",
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