Class: Google::Apis::MlV1::GoogleCloudMlV1PredictionInput

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
generated/google/apis/ml_v1/classes.rb,
generated/google/apis/ml_v1/representations.rb,
generated/google/apis/ml_v1/representations.rb

Overview

Represents input parameters for a prediction job.

Instance Attribute Summary collapse

Instance Method Summary collapse

Methods included from Core::JsonObjectSupport

#to_json

Methods included from Core::Hashable

process_value, #to_h

Constructor Details

#initialize(**args) ⇒ GoogleCloudMlV1PredictionInput

Returns a new instance of GoogleCloudMlV1PredictionInput



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# File 'generated/google/apis/ml_v1/classes.rb', line 1071

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#data_formatString

Required. The format of the input data files. Corresponds to the JSON property dataFormat

Returns:

  • (String)


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# File 'generated/google/apis/ml_v1/classes.rb', line 1049

def data_format
  @data_format
end

#input_pathsArray<String>

Required. The Google Cloud Storage location of the input data files. May contain wildcards. Corresponds to the JSON property inputPaths

Returns:

  • (Array<String>)


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# File 'generated/google/apis/ml_v1/classes.rb', line 1064

def input_paths
  @input_paths
end

#max_worker_countFixnum

Optional. The maximum number of workers to be used for parallel processing. Defaults to 10 if not specified. Corresponds to the JSON property maxWorkerCount

Returns:

  • (Fixnum)


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# File 'generated/google/apis/ml_v1/classes.rb', line 1038

def max_worker_count
  @max_worker_count
end

#model_nameString

Use this field if you want to use the default version for the specified model. The string must use the following format: "projects/<var>[YOUR_PROJECT]</var>/models/<var>[YOUR_MODEL]</var>" Corresponds to the JSON property modelName

Returns:

  • (String)


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# File 'generated/google/apis/ml_v1/classes.rb', line 1027

def model_name
  @model_name
end

#output_pathString

Required. The output Google Cloud Storage location. Corresponds to the JSON property outputPath

Returns:

  • (String)


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# File 'generated/google/apis/ml_v1/classes.rb', line 1032

def output_path
  @output_path
end

#regionString

Required. The Google Compute Engine region to run the prediction job in. Corresponds to the JSON property region

Returns:

  • (String)


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# File 'generated/google/apis/ml_v1/classes.rb', line 1069

def region
  @region
end

#runtime_versionString

Optional. The Google Cloud ML runtime version to use for this batch prediction. If not set, Google Cloud ML will pick the runtime version used during the CreateVersion request for this model version, or choose the latest stable version when model version information is not available such as when the model is specified by uri. Corresponds to the JSON property runtimeVersion

Returns:

  • (String)


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# File 'generated/google/apis/ml_v1/classes.rb', line 1058

def runtime_version
  @runtime_version
end

#uriString

Use this field if you want to specify a Google Cloud Storage path for the model to use. Corresponds to the JSON property uri

Returns:

  • (String)


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# File 'generated/google/apis/ml_v1/classes.rb', line 1044

def uri
  @uri
end

#version_nameString

Use this field if you want to specify a version of the model to use. The string is formatted the same way as model_version, with the addition of the version information: "projects/<var>[YOUR_PROJECT]</var>/models/<var>YOUR_MODEL/versions/<var>[ YOUR_VERSION]</var>" Corresponds to the JSON property versionName

Returns:

  • (String)


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# File 'generated/google/apis/ml_v1/classes.rb', line 1020

def version_name
  @version_name
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'generated/google/apis/ml_v1/classes.rb', line 1076

def update!(**args)
  @version_name = args[:version_name] if args.key?(:version_name)
  @model_name = args[:model_name] if args.key?(:model_name)
  @output_path = args[:output_path] if args.key?(:output_path)
  @max_worker_count = args[:max_worker_count] if args.key?(:max_worker_count)
  @uri = args[:uri] if args.key?(:uri)
  @data_format = args[:data_format] if args.key?(:data_format)
  @runtime_version = args[:runtime_version] if args.key?(:runtime_version)
  @input_paths = args[:input_paths] if args.key?(:input_paths)
  @region = args[:region] if args.key?(:region)
end