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



237
238
239
 
# File 'generated/google/apis/ml_v1/classes.rb', line 237

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

Instance Attribute Details

#data_format ⇒ String

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

Returns:

  • (String) 


182
183
184
 
# File 'generated/google/apis/ml_v1/classes.rb', line 182

def data_format
  @data_format
end

#input_paths ⇒ Array<String>

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

Returns:

  • (Array<String>) 


197
198
199
 
# File 'generated/google/apis/ml_v1/classes.rb', line 197

def input_paths
  @input_paths
end

#max_worker_count ⇒ Fixnum

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) 


235
236
237
 
# File 'generated/google/apis/ml_v1/classes.rb', line 235

def max_worker_count
  @max_worker_count
end

#model_name ⇒ String

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) 


218
219
220
 
# File 'generated/google/apis/ml_v1/classes.rb', line 218

def model_name
  @model_name
end

#output_path ⇒ String

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

Returns:

  • (String) 


223
224
225
 
# File 'generated/google/apis/ml_v1/classes.rb', line 223

def output_path
  @output_path
end

#region ⇒ String

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

Returns:

  • (String) 


202
203
204
 
# File 'generated/google/apis/ml_v1/classes.rb', line 202

def region
  @region
end

#runtime_version ⇒ String

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) 


191
192
193
 
# File 'generated/google/apis/ml_v1/classes.rb', line 191

def runtime_version
  @runtime_version
end

#uri ⇒ String

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) 


229
230
231
 
# File 'generated/google/apis/ml_v1/classes.rb', line 229

def uri
  @uri
end

#version_name ⇒ String

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) 


211
212
213
 
# File 'generated/google/apis/ml_v1/classes.rb', line 211

def version_name
  @version_name
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



242
243
244
245
246
247
248
249
250
251
252
 
# File 'generated/google/apis/ml_v1/classes.rb', line 242

def update!(**args)
  @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)
  @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)
  @uri = args[:uri] if args.key?(:uri)
  @max_worker_count = args[:max_worker_count] if args.key?(:max_worker_count)
end