TypeError: 'Tensor' object is not callable Ludwig Uber

Question

我是 Uber Ludwig 的新手，我在标题中遇到错误， StackTrace 是：

Epoch   1
Training: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:56<00:00,  1.76it/s]
Traceback (most recent call last):
  File "/usr/local/bin/ludwig", line 10, in <module>
    sys.exit(main())
  File "/usr/local/lib/python3.7/dist-packages/ludwig/cli.py", line 108, in main
    CLI()
  File "/usr/local/lib/python3.7/dist-packages/ludwig/cli.py", line 64, in __init__
    getattr(self, args.command)()
  File "/usr/local/lib/python3.7/dist-packages/ludwig/cli.py", line 69, in experiment
    experiment.cli(sys.argv[2:])
  File "/usr/local/lib/python3.7/dist-packages/ludwig/experiment.py", line 472, in cli
    experiment(**vars(args))
  File "/usr/local/lib/python3.7/dist-packages/ludwig/experiment.py", line 203, in experiment
    **kwargs
  File "/usr/local/lib/python3.7/dist-packages/ludwig/train.py", line 311, in full_train
    debug=debug
  File "/usr/local/lib/python3.7/dist-packages/ludwig/train.py", line 475, in train
    **model_definition['training']
  File "/usr/local/lib/python3.7/dist-packages/ludwig/models/model.py", line 576, in train
    bucketing_field
TypeError: 'Tensor' object is not callable

所以我有一个包含以下格式数据的 CSV 文件：

elo\,evaluation
1063\,"12\, 30\, 16\, 2\, 17\, 28\, 1\, 5\, 7\, 0\, 39\, 0"
1034\,"18\, 13\, 13\, 1\, 8\, 20\, 35\, 0\, 20\, 11\, 8\, 9"
1713\,"23\, 13\, 26\, 35\, 36\, 33\, 14\, 20\, 7\, 11\, 1\, 3\, 5\, 14\, 16\, 2\, 6\, 19\, 60\, 193\, 58\, 100\, 82\, 24\, 2985\, 1\, 230\, 0\, 0\, 0\, 0\, 0\, 0\, 0"
1812\,"1\, 2\, 53\, 3\, 66\, 5\, 14\, 8\, 56\, 29\, 7\, 30\, 14\, 15\, 10\, 14\, 4\, 34\, 1\, 22\, 15\, 26\, 133\, 6\, 59\, 0\, 257\, 553\, 0\, 0\, 0\, 0\, 0\, 0"
1718\,"21\, 83\, 23\, 6\, 93\, 8\, 26\, 25\, 19\, 12\, 21\, 23\, 10\, 5\, 6\, 12\, 6\, 11\, 7\, 38\, 0\, 3\, 33\, 18\, 11\, 6\, 22\, 14\, 21\, 6\, 19\, 13\, 8\, 0\, 4158\, 0\, 5\, 1\, 0\, 1\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0"
1743\,"4\, 17\, 22\, 25\, 36\, 7\, 63\, 5\, 4\, 11\, 26\, 12\, 0\, 17\, 3\, 2\, 10\, 16\, 3\, 19\, 17\, 13\, 2\, 5\, 49\, 40\, 7\, 1\, 42\, 10\, 2\, 36\, 48\, 8\, 1175\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0\, 0"

现在我的模型定义是：

input_features:
  -
    name: evaluation
    type: sequence
output_features:
  -
    name: elo
    type: numerical

我在 cli 上的命令运行:

ludwig experiment --data_csv evaluated.csv --model_definition_file modelDefinition.yml --output_directory results

现在我不知道为什么会出现错误，有人可以帮助我吗？

Answer 1

由于评估在 ludwig 中是受保护的关键字，请尝试将输入特征的名称更改为评估以外的名称。

TypeError: 'Tensor' object is not callable Ludwig Uber

TypeError: 'Tensor' object is not callable Ludwig Uber

python-3.x

tensorflow

machine-learning

ludwig