From 73432c6bfb53fa3b79b2f6e2a1595009a4b60e6a Mon Sep 17 00:00:00 2001
From: Raphael Mitsch <r.mitsch@outlook.com>
Date: Fri, 2 Sep 2022 16:25:57 +0200
Subject: [PATCH] Update nlp.config (workaround).

---
 spacy/cli/find_threshold.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/spacy/cli/find_threshold.py b/spacy/cli/find_threshold.py
index 6ce4f7321..a451b7d4a 100644
--- a/spacy/cli/find_threshold.py
+++ b/spacy/cli/find_threshold.py
@@ -1,5 +1,4 @@
 import functools
-from functools import partial
 import operator
 from pathlib import Path
 import logging
@@ -7,6 +6,7 @@ from typing import Optional, Tuple, Any, Dict, List
 
 import numpy
 import wasabi.tables
+from confection import Config
 
 from ..pipeline import TrainablePipe, Pipe
 from ..errors import Errors
@@ -121,7 +121,6 @@ def find_threshold(
         raise TypeError(Errors.E1044)
     if not hasattr(pipe, "scorer"):
         raise AttributeError(Errors.E1045)
-    setattr(pipe, "scorer", partial(pipe.scorer.func, beta=beta))
 
     if not silent:
         wasabi.msg.info(
@@ -150,6 +149,7 @@ def find_threshold(
     scores: Dict[float, float] = {}
     for threshold in numpy.linspace(0, 1, n_trials):
         pipe.cfg = set_nested_item(pipe.cfg, config_keys, threshold)
+        nlp._pipe_configs[pipe_name] = Config(pipe.cfg)
         scores[threshold] = nlp.evaluate(dev_dataset)[scores_key]
         if not (
             isinstance(scores[threshold], float) or isinstance(scores[threshold], int)