- kind: model
  name: sentiment_dnn
  type: classification
  path: ./sentiment_dnn.py
  target_column: label_indexed
  feature_columns: [embedding_input]
  aggregates: [reviews_vocab]
  hparams:
    learning_rate: 0.01
  data_partition_ratio:
    training: 0.8
    evaluation: 0.2
  training:
    batch_size: 64
    num_steps: 5000