Threshold values must be in [0, 1]. Invalid values: (param1)

Package:

tensorflow

158813

Exception Class:

ValueError

Raise code

rn inner


def assert_thresholds_range(thresholds):
  if thresholds is not None:
    invalid_thresholds = [t for t in thresholds if t is None or t < 0 or t > 1]
    if invalid_thresholds:
      raise ValueError(
          'Threshold values must be in [0, 1]. Invalid values: {}'.format(
              invalid_thresholds))


def parse_init_thresholds(thresholds, default_threshold=0.5):
  if thresholds is not None:
    assert_thresholds_range(to_list(thresholds))
  thre

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Links to the raise (1)

https://github.com/tensorflow/tensorflow/blob/f26800a1e5b1199cfc1a5aca916edc836b541687/tensorflow/python/keras/utils/metrics_utils.py#L187

Ways to fix

When instantiating the Recall class, the threshold parameter should be in the range [0,1].

Reproducing the error:

pipenv install tensorflow

import tensorflow as tf
m = tf.keras.metrics.Recall(thresholds=-0.7)
m.update_state([0, 1, 1, 1], [1, 0, 1, 1])
print(m.result().numpy())

The output error:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-36-5220c73949a6> in <module>()
      1 import tensorflow as tf
----> 2 m = tf.keras.metrics.Recall(thresholds=-0.7)
      3 m.update_state([0, 1, 1, 1], [1, 0, 1, 1])
      4 print(m.result().numpy())

/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/metrics.py in __init__(self, thresholds, top_k, class_id, name, dtype)
   1426     default_threshold = 0.5 if top_k is None else metrics_utils.NEG_INF
   1427     self.thresholds = metrics_utils.parse_init_thresholds(
-> 1428         thresholds, default_threshold=default_threshold)
   1429     self.true_positives = self.add_weight(
   1430         'true_positives',

/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/utils/metrics_utils.py in parse_init_thresholds(thresholds, default_threshold)
    190 def parse_init_thresholds(thresholds, default_threshold=0.5):
    191   if thresholds is not None:
--> 192     assert_thresholds_range(to_list(thresholds))
    193   thresholds = to_list(default_threshold if thresholds is None else thresholds)
    194   return thresholds

/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/utils/metrics_utils.py in assert_thresholds_range(thresholds)
    185       raise ValueError(
    186           'Threshold values must be in [0, 1]. Invalid values: {}'.format(
--> 187               invalid_thresholds))
    188 
    189 

ValueError: Threshold values must be in [0, 1]. Invalid values: [-0.7]

The fixed version of the code:

Make sure the threshold parameter (if given) is with in the range [0,1].

import tensorflow as tf
m = tf.keras.metrics.Recall(thresholds=0.7)
m.update_state([0, 1, 1, 1], [1, 0, 1, 1])
print(m.result().numpy())

Output:

0.6666667

Jul 16, 2021

kellemnegasi 29.0k

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