explosion/spaCy
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Merge pull request #6273 from adrianeboyd/bugfix/detailed-scores-in-evaluate2

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Ines Montani 2020-10-20 10:03:09 +02:00 committed by GitHub
commit 6523f2daac
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2 changed files with 18 additions and 19 deletions
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35
spacy/cli/evaluate.py
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@ -93,6 +93,7 @@ def evaluate(
"SPEED": "speed",
}
results = {}
data = {}
for metric, key in metrics.items():
if key in scores:
if key == "cats_score":
@ -101,19 +102,30 @@ def evaluate(
results[metric] = f"{scores[key]:.0f}"
else:
results[metric] = f"{scores[key]*100:.2f}"
data = {re.sub(r"[\s/]", "_", k.lower()): v for k, v in results.items()}
data[re.sub(r"[\s/]", "_", key.lower())] = scores[key]
msg.table(results, title="Results")
if "morph_per_feat" in scores:
if 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"]:
print_textcats_auc_per_cat(msg, scores["cats_auc_per_type"])
data["cats_auc_per_type"] = scores["cats_auc_per_type"]
if displacy_path:
factory_names = [nlp.get_pipe_meta(pipe).factory for pipe in nlp.pipe_names]
@ -157,7 +169,7 @@ def render_parses(
file_.write(html)
def print_ents_per_type(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()
@ -166,20 +178,7 @@ def print_ents_per_type(msg: Printer, scores: Dict[str, Dict[str, float]]) -> No
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})",
)

2
website/src/templates/models.js
View File

@ -120,7 +120,7 @@ function formatAccuracy(data) {
? null
: {
label,
value: value.toFixed(2),
value: (value * 100).toFixed(2),
help: MODEL_META[label],
}
})