mind_on_books.config

train_input_path: "examples/data/amazon_books_data/amazon_train_data"
eval_input_path: "examples/data/amazon_books_data/amazon_test_data"
model_dir: "examples/ckpt/mind_book_ckpt"

train_config {
  log_step_count_steps: 100
  optimizer_config: {
    adam_optimizer: {
      learning_rate: {
        exponential_decay_learning_rate {
          initial_learning_rate: 0.001
          decay_steps: 1000
          decay_factor: 0.5
          min_learning_rate: 0.00001
        }
      }
    }
    use_moving_average: false
  }
  save_checkpoints_steps: 2000
  num_steps: 20000
}

eval_config {
  metrics_set: {
    auc {}
  }
}

data_config {
  input_fields {
    input_name:'user_id'
    input_type: STRING
  }
  input_fields {
    input_name:'book_id_seq'
    input_type: STRING
  }
  input_fields {
    input_name: 'book_id'
    input_type: STRING
  }
  input_fields {
    input_name: 'label'
    input_type: INT32
  }

  label_fields: 'label'
  batch_size: 4096
  num_epochs: 2
  prefetch_size: 32
  input_type: CSVInput
  separator: "\t"
}

feature_config: {
  features: {
    input_names: 'user_id'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 500000
  }
  features: {
    input_names: 'book_id'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 400000
  }
  features: {
    input_names: 'book_id_seq'
    feature_type: SequenceFeature
    separator: '|'
    hash_bucket_size: 400000
    embedding_dim: 16
  }
}
model_config:{
  model_class: "MIND"
  feature_groups: {
    group_name: 'hist'
    feature_names: 'book_id_seq'
  }
  feature_groups: {
    group_name: 'user'
    feature_names: 'user_id'
    wide_deep:DEEP
  }
  feature_groups: {
    group_name: "item"
    feature_names: 'book_id'
    wide_deep:DEEP
  }
  mind {
    user_dnn {
      hidden_units: [128, 64, 32]
    }
    item_dnn {
      hidden_units: [128, 64, 32]
    }

    concat_dnn {
      hidden_units: [64, 32]
    }

    capsule_config {
      max_k: 3
      max_seq_len: 50
      high_dim: 64
    }
    l2_regularization: 1e-6
  }
  embedding_regularization: 5e-5
}