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chore: import upstream snapshot with attribution
2026-07-13 12:49:20 +08:00

27 行
559 B
Python

"""Train a model from entirely synthetic data."""
import logging
import tempfile
import yaml
from ludwig.api import LudwigModel
from ludwig.data.dataset_synthesizer import build_synthetic_dataset_df
config = yaml.safe_load("""
input_features:
- name: Pclass (new)
type: category
output_features:
- name: Survived
type: binary
""")
df = build_synthetic_dataset_df(120, config)
model = LudwigModel(config, logging_level=logging.INFO)
with tempfile.TemporaryDirectory() as tmpdir:
model.train(dataset=df, output_directory=tmpdir)