如何在Cloud ML中使用BigQuery而不是csv文件进行训练？

Question

我的培训数据是BigQuery.如何使用它在Cloud ML中训练模型？

Answer 1

更改要使用的预处理管道BigQuerySource(使用与FeaturesCSV样本中相同的类).这是一个例子:

feature_set = CsvFeatures()
train_query = “SELECT …”
valid_query = “SELECt …”
train = pipeline | 'read_train' >> beam.Read(beam.io.BigQuerySource(query=train_query))
eval = pipeline | 'read_valid' >> beam.Read(beam.io.BigQuerySource(query=valid_query))
(metadata, train_features, eval_features) = ((train, eval) |
    ml.Preprocess('Preprocess', feature_set))