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spaCy
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Add dep_las_per_type and more generic PRF printer

This commit is contained in:
Adriane Boyd 2020-10-19 13:18:47 +02:00
parent 4300858ecb
commit dd207ca6d0
1 changed files with 9 additions and 31 deletions
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40
spacy/cli/evaluate.py
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@ -107,15 +107,19 @@ def evaluate(
if "morph_per_feat" in scores:
if scores["morph_per_feat"]:
print_morph_per_feat(msg, scores["morph_per_feat"])
print_prf_per_type(msg, scores["morph_per_feat"], "MORPH", "feat")
data["morph_per_feat"] = scores["morph_per_feat"]
if "dep_las_per_type" in scores:
if scores["dep_las_per_type"]:
print_prf_per_type(msg, scores["dep_las_per_type"], "LAS", "type")
data["dep_las_per_type"] = scores["dep_las_per_type"]
if "ents_per_type" in scores:
if scores["ents_per_type"]:
print_ents_per_type(msg, scores["ents_per_type"])
print_prf_per_type(msg, scores["ents_per_type"], "NER", "type")
data["ents_per_type"] = scores["ents_per_type"]
if "cats_f_per_type" in scores:
if scores["cats_f_per_type"]:
print_textcats_f_per_cat(msg, scores["cats_f_per_type"])
print_prf_per_type(msg, scores["cats_f_per_type"], "Textcat F", "label")
data["cats_f_per_type"] = scores["cats_f_per_type"]
if "cats_auc_per_type" in scores:
if scores["cats_auc_per_type"]:
@ -164,7 +168,7 @@ def render_parses(
file_.write(html)
def print_morph_per_feat(msg: Printer, scores: Dict[str, Dict[str, float]]) -> None:
def print_prf_per_type(msg: Printer, scores: Dict[str, Dict[str, float]], name: str, type: str) -> None:
data = [
(k, f"{v['p']*100:.2f}", f"{v['r']*100:.2f}", f"{v['f']*100:.2f}")
for k, v in scores.items()
@ -173,33 +177,7 @@ def print_morph_per_feat(msg: Printer, scores: Dict[str, Dict[str, float]]) -> N
data,
header=("", "P", "R", "F"),
aligns=("l", "r", "r", "r"),
title="MORPH (per feat)",
)
def print_ents_per_type(msg: Printer, scores: Dict[str, Dict[str, float]]) -> None:
data = [
(k, f"{v['p']*100:.2f}", f"{v['r']*100:.2f}", f"{v['f']*100:.2f}")
for k, v in scores.items()
]
msg.table(
data,
header=("", "P", "R", "F"),
aligns=("l", "r", "r", "r"),
title="NER (per type)",
)
def print_textcats_f_per_cat(msg: Printer, scores: Dict[str, Dict[str, float]]) -> None:
data = [
(k, f"{v['p']*100:.2f}", f"{v['r']*100:.2f}", f"{v['f']*100:.2f}")
for k, v in scores.items()
]
msg.table(
data,
header=("", "P", "R", "F"),
aligns=("l", "r", "r", "r"),
title="Textcat F (per label)",
title=f"{name} (per {type})",
)