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Include per-type/feat scores in evaluate output
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75a202ce65
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@ -105,15 +105,22 @@ def evaluate(
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msg.table(results, title="Results")
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if "morph_per_feat" in scores:
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if scores["morph_per_feat"]:
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print_morph_per_feat(msg, scores["morph_per_feat"])
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data["morph_per_feat"] = scores["morph_per_feat"]
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if "ents_per_type" in scores:
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if scores["ents_per_type"]:
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print_ents_per_type(msg, scores["ents_per_type"])
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data["ents_per_type"] = scores["ents_per_type"]
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if "cats_f_per_type" in scores:
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if scores["cats_f_per_type"]:
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print_textcats_f_per_cat(msg, scores["cats_f_per_type"])
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data["cats_f_per_type"] = scores["cats_f_per_type"]
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if "cats_auc_per_type" in scores:
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if scores["cats_auc_per_type"]:
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print_textcats_auc_per_cat(msg, scores["cats_auc_per_type"])
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data["cats_auc_per_type"] = scores["cats_auc_per_type"]
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if displacy_path:
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factory_names = [nlp.get_pipe_meta(pipe).factory for pipe in nlp.pipe_names]
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@ -157,6 +164,19 @@ def render_parses(
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file_.write(html)
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def print_morph_per_feat(msg: Printer, scores: Dict[str, Dict[str, float]]) -> None:
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data = [
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(k, f"{v['p']*100:.2f}", f"{v['r']*100:.2f}", f"{v['f']*100:.2f}")
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for k, v in scores.items()
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]
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msg.table(
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data,
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header=("", "P", "R", "F"),
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aligns=("l", "r", "r", "r"),
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title="MORPH (per feat)",
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)
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def print_ents_per_type(msg: Printer, scores: Dict[str, Dict[str, float]]) -> None:
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data = [
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(k, f"{v['p']*100:.2f}", f"{v['r']*100:.2f}", f"{v['f']*100:.2f}")
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