Class BleuSpec (1.157.0)

1.157.0 (latest) 1.156.0 1.155.0 1.154.0 1.153.1 1.152.0 1.151.0 1.150.0 1.149.0 1.148.1 1.147.0 1.146.0 1.145.0 1.144.0 1.143.0 1.142.0 1.141.0 1.140.0 1.139.0 1.138.0 1.137.0 1.136.0 1.135.0 1.134.0 1.133.0 1.132.0 1.131.0 1.130.0 1.129.0 1.122.0 1.121.0 1.120.0 1.119.0 1.118.0 1.117.0 1.116.0 1.115.0 1.114.0 1.113.0 1.112.0 1.111.0 1.110.0 1.109.0 1.108.0 1.107.0 1.106.0 1.105.0 1.104.0 1.103.0 1.102.0 1.101.0 1.100.0 1.99.0 1.98.0 1.97.0 1.96.0 1.95.1 1.94.0 1.93.1 1.92.0 1.91.0 1.90.0 1.89.0 1.88.0 1.87.0 1.86.0 1.85.0 1.84.0 1.83.0 1.82.0 1.81.0 1.80.0 1.79.0 1.78.0 1.77.0 1.76.0 1.75.0 1.74.0 1.73.0 1.72.0 1.71.1 1.70.0 1.69.0 1.68.0 1.67.1 1.66.0 1.65.0 1.63.0 1.62.0 1.60.0 1.59.0 1.58.0 1.57.0 1.56.0 1.55.0 1.54.1 1.53.0 1.52.0 1.51.0 1.50.0 1.49.0 1.48.0 1.47.0 1.46.0 1.45.0 1.44.0 1.43.0 1.39.0 1.38.1 1.37.0 1.36.4 1.35.0 1.34.0 1.33.1 1.32.0 1.31.1 1.30.1 1.29.0 1.28.1 1.27.1 1.26.1 1.25.0 1.24.1 1.23.0 1.22.1 1.21.0 1.20.0 1.19.1 1.18.3 1.17.1 1.16.1 1.15.1 1.14.0 1.13.1 1.12.1 1.11.0 1.10.0 1.9.0 1.8.1 1.7.1 1.6.2 1.5.0 1.4.3 1.3.0 1.2.0 1.1.1 1.0.1 0.9.0 0.8.0 0.7.1 0.6.0 0.5.1 0.4.0 0.3.1

BleuSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1.

Attribute
Name	Description
use_effective_order	bool Optional. Whether to use_effective_order to compute bleu score.

Methods

BleuSpec

BleuSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1.