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)
```



            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/ssbuild",
    "name": "seqmetric",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3, <4",
    "maintainer_email": "",
    "keywords": "seqmetric,seq metric,seq,ner metric,metric,ner",
    "author": "ssbuild",
    "author_email": "9727464@qq.com",
    "download_url": "",
    "platform": "win32_AMD64",
    "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",
    "bugtrack_url": null,
    "license": "Apache 2.0",
    "summary": "seq is a seq eval package",
    "version": "0.1.2",
    "split_keywords": [
        "seqmetric",
        "seq metric",
        "seq",
        "ner metric",
        "metric",
        "ner"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "763c97c58dda7dbd856550960ed74ed1",
                "sha256": "e09d32c237a48fd24e54e107fbf76ded7a45bc77a40a6cc8902052d26befbec4"
            },
            "downloads": -1,
            "filename": "seqmetric-0.1.2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "763c97c58dda7dbd856550960ed74ed1",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3, <4",
            "size": 17388,
            "upload_time": "2022-11-25T09:26:07",
            "upload_time_iso_8601": "2022-11-25T09:26:07.084422Z",
            "url": "https://files.pythonhosted.org/packages/36/36/9107293afb123fd604be3298d3f7e1b26ec2653449cfee4bf55a7bd35c3a/seqmetric-0.1.2-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2022-11-25 09:26:07",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "seqmetric"
}
        
Elapsed time: 0.01936s