Spaces:
Running
Running
Update Space (evaluate main: c447fc8e)
Browse files- poseval.py +3 -16
- requirements.txt +1 -1
poseval.py
CHANGED
@@ -13,7 +13,6 @@
|
|
13 |
# limitations under the License.
|
14 |
""" seqeval metric. """
|
15 |
|
16 |
-
from dataclasses import dataclass
|
17 |
from typing import Union
|
18 |
|
19 |
import datasets
|
@@ -81,27 +80,14 @@ Examples:
|
|
81 |
"""
|
82 |
|
83 |
|
84 |
-
@dataclass
|
85 |
-
class PosevalConfig(evaluate.info.Config):
|
86 |
-
|
87 |
-
name: str = "default"
|
88 |
-
|
89 |
-
zero_division: Union[str, int] = "warn"
|
90 |
-
|
91 |
-
|
92 |
@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
|
93 |
class Poseval(evaluate.Metric):
|
94 |
-
|
95 |
-
CONFIG_CLASS = PosevalConfig
|
96 |
-
ALLOWED_CONFIG_NAMES = ["default"]
|
97 |
-
|
98 |
-
def _info(self, config):
|
99 |
return evaluate.MetricInfo(
|
100 |
description=_DESCRIPTION,
|
101 |
citation=_CITATION,
|
102 |
homepage="https://scikit-learn.org",
|
103 |
inputs_description=_KWARGS_DESCRIPTION,
|
104 |
-
config=config,
|
105 |
features=datasets.Features(
|
106 |
{
|
107 |
"predictions": datasets.Sequence(datasets.Value("string", id="label"), id="sequence"),
|
@@ -115,12 +101,13 @@ class Poseval(evaluate.Metric):
|
|
115 |
self,
|
116 |
predictions,
|
117 |
references,
|
|
|
118 |
):
|
119 |
report = classification_report(
|
120 |
y_true=[label for ref in references for label in ref],
|
121 |
y_pred=[label for pred in predictions for label in pred],
|
122 |
output_dict=True,
|
123 |
-
zero_division=
|
124 |
)
|
125 |
|
126 |
return report
|
|
|
13 |
# limitations under the License.
|
14 |
""" seqeval metric. """
|
15 |
|
|
|
16 |
from typing import Union
|
17 |
|
18 |
import datasets
|
|
|
80 |
"""
|
81 |
|
82 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
83 |
@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
|
84 |
class Poseval(evaluate.Metric):
|
85 |
+
def _info(self):
|
|
|
|
|
|
|
|
|
86 |
return evaluate.MetricInfo(
|
87 |
description=_DESCRIPTION,
|
88 |
citation=_CITATION,
|
89 |
homepage="https://scikit-learn.org",
|
90 |
inputs_description=_KWARGS_DESCRIPTION,
|
|
|
91 |
features=datasets.Features(
|
92 |
{
|
93 |
"predictions": datasets.Sequence(datasets.Value("string", id="label"), id="sequence"),
|
|
|
101 |
self,
|
102 |
predictions,
|
103 |
references,
|
104 |
+
zero_division: Union[str, int] = "warn",
|
105 |
):
|
106 |
report = classification_report(
|
107 |
y_true=[label for ref in references for label in ref],
|
108 |
y_pred=[label for pred in predictions for label in pred],
|
109 |
output_dict=True,
|
110 |
+
zero_division=zero_division,
|
111 |
)
|
112 |
|
113 |
return report
|
requirements.txt
CHANGED
@@ -1,2 +1,2 @@
|
|
1 |
-
git+https://github.com/huggingface/evaluate@
|
2 |
scikit-learn
|
|
|
1 |
+
git+https://github.com/huggingface/evaluate@c447fc8eda9c62af501bfdc6988919571050d950
|
2 |
scikit-learn
|