Class TrainingConfig (1.144.0)

1.144.0 (latest) 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

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

CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.

Attribute
Name	Description
timeout_training_milli_hours	int The timeout hours for the CMLE training job, expressed in milli hours i.e. 1,000 value in this field means 1 hour.

Methods

TrainingConfig

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

CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.