seqmetric

seq is a seq eval package

# -*- 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)

Metadata

Release files for seqmetric 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for seqmetric 0.1.2
File	Interpreter	ABI	Platform	Reset
seqmetric-0.1.2-py3-none-any.whl 17.4 kB Nov 25, 2022	Python 3	none	any	Details

Release files / seqmetric-0.1.2-py3-none-any.whl

Download URL	seqmetric-0.1.2-py3-none-any.whl
Size	17.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`e09d32c237a48fd24e54e107fbf76ded7a45bc77a40a6cc8902052d26befbec4`
BLAKE2b-256 checksum How to use checksums	`36369107293afb123fd604be3298d3f7e1b26ec2653449cfee4bf55a7bd35c3a`
Upload date	Nov 25, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.8.9`