name: "ensemble"
platform: "ensemble"
max_batch_size: 882352
input [
    {
        name: "User"
        data_type: TYPE_FP32
        dims: [ 1 ]
    },
    {
        name: "Card"
        data_type: TYPE_FP32
        dims: [ 1 ]
    },
    {
        name: "Year"
        data_type: TYPE_FP32
        dims: [ 1 ]
    },
    {
        name: "Month"
        data_type: TYPE_FP32
        dims: [ 1 ]
    },
    {
        name: "Day"
        data_type: TYPE_FP32
        dims: [ 1 ]
    },
    {
        name: "Time"
        data_type: TYPE_STRING
        dims: [ 1 ]
    },
    {
        name: "Amount"
        data_type: TYPE_STRING
        dims: [ 1 ]
    },
    {
        name: "Use Chip"
        data_type: TYPE_STRING
        dims: [ 1 ]
    },
    {
        name: "Merchant Name"
        data_type: TYPE_STRING
        dims: [ 1 ]
    },
    {
        name: "Merchant City"
        data_type: TYPE_STRING
        dims: [ 1 ]
    },
    {
        name: "Merchant State"
        data_type: TYPE_STRING
        dims: [ 1 ]
    },
    {
        name: "Zip"
        data_type: TYPE_STRING
        dims: [ 1 ]
    },
    {
        name: "MCC"
        data_type: TYPE_STRING
        dims: [ 1 ]
    },
    {
        name: "Errors?"
        data_type: TYPE_STRING
        dims: [ 1 ]
    }  
]
output [
  {
    name: "predictions"
    data_type: TYPE_FP32
    dims: [ 1 ]
  }
]
ensemble_scheduling {
  step [
    {
      model_name: "preprocessing"
      model_version: 1
      input_map {
        key: "User"
        value: "User"
      }
      input_map {
        key: "Card"
        value: "Card"
      }
      input_map {
        key: "Year"
        value: "Year"
      }
      input_map {
        key: "Month"
        value: "Month"
      }
      input_map {
        key: "Day"
        value: "Day"
      }
      input_map {
        key: "Time"
        value: "Time"
      }
      input_map {
        key: "Amount"
        value: "Amount"
      }
      input_map {
        key: "Use Chip"
        value: "Use Chip"
      }
      input_map {
        key: "Merchant Name"
        value: "Merchant Name"
      }
      input_map {
        key: "Merchant City"
        value: "Merchant City"
      }
      input_map {
        key: "Merchant State"
        value: "Merchant State"
      }
      input_map {
        key: "Zip"
        value: "Zip"
      }
      input_map {
        key: "MCC"
        value: "MCC"
      }
      input_map {
        key: "Errors?"
        value: "Errors?"
      }
      output_map {
        key: "OUTPUT"
        value: "preprocessed_data"
      }
    },
    {
      model_name: "fil"
      model_version: 1
      input_map {
        key: "input__0"
        value: "preprocessed_data"
      }
      output_map {
        key: "output__0"
        value: "predictions"
      }
    }
  ]
}