285 lines
15 KiB
Ruby
285 lines
15 KiB
Ruby
# Copyright 2015 Google Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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require 'google/apis/core/base_service'
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require 'google/apis/core/json_representation'
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require 'google/apis/core/hashable'
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require 'google/apis/errors'
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module Google
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module Apis
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module PredictionV1_4
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# Prediction API
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#
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# Lets you access a cloud hosted machine learning service that makes it easy to
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# build smart apps
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#
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# @example
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# require 'google/apis/prediction_v1_4'
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#
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# Prediction = Google::Apis::PredictionV1_4 # Alias the module
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# service = Prediction::PredictionService.new
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#
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# @see https://developers.google.com/prediction/docs/developer-guide
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class PredictionService < Google::Apis::Core::BaseService
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# @return [String]
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# API key. Your API key identifies your project and provides you with API access,
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# quota, and reports. Required unless you provide an OAuth 2.0 token.
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attr_accessor :key
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# @return [String]
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# Available to use for quota purposes for server-side applications. Can be any
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# arbitrary string assigned to a user, but should not exceed 40 characters.
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# Overrides userIp if both are provided.
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attr_accessor :quota_user
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# @return [String]
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# IP address of the site where the request originates. Use this if you want to
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# enforce per-user limits.
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attr_accessor :user_ip
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def initialize
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super('https://www.googleapis.com/', 'prediction/v1.4/')
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@batch_path = 'batch/prediction/v1.4'
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end
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# Submit input and request an output against a hosted model.
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# @param [String] hosted_model_name
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# The name of a hosted model.
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# @param [Google::Apis::PredictionV1_4::Input] input_object
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# @param [String] fields
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# Selector specifying which fields to include in a partial response.
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# @param [String] quota_user
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# Available to use for quota purposes for server-side applications. Can be any
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# arbitrary string assigned to a user, but should not exceed 40 characters.
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# Overrides userIp if both are provided.
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# @param [String] user_ip
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# IP address of the site where the request originates. Use this if you want to
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# enforce per-user limits.
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# @param [Google::Apis::RequestOptions] options
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# Request-specific options
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#
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# @yield [result, err] Result & error if block supplied
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# @yieldparam result [Google::Apis::PredictionV1_4::Output] parsed result object
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# @yieldparam err [StandardError] error object if request failed
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#
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# @return [Google::Apis::PredictionV1_4::Output]
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#
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# @raise [Google::Apis::ServerError] An error occurred on the server and the request can be retried
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# @raise [Google::Apis::ClientError] The request is invalid and should not be retried without modification
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# @raise [Google::Apis::AuthorizationError] Authorization is required
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def predict_hostedmodel(hosted_model_name, input_object = nil, fields: nil, quota_user: nil, user_ip: nil, options: nil, &block)
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command = make_simple_command(:post, 'hostedmodels/{hostedModelName}/predict', options)
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command.request_representation = Google::Apis::PredictionV1_4::Input::Representation
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command.request_object = input_object
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command.response_representation = Google::Apis::PredictionV1_4::Output::Representation
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command.response_class = Google::Apis::PredictionV1_4::Output
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command.params['hostedModelName'] = hosted_model_name unless hosted_model_name.nil?
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command.query['fields'] = fields unless fields.nil?
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command.query['quotaUser'] = quota_user unless quota_user.nil?
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command.query['userIp'] = user_ip unless user_ip.nil?
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execute_or_queue_command(command, &block)
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end
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# Delete a trained model.
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# @param [String] id
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# The unique name for the predictive model.
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# @param [String] fields
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# Selector specifying which fields to include in a partial response.
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# @param [String] quota_user
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# Available to use for quota purposes for server-side applications. Can be any
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# arbitrary string assigned to a user, but should not exceed 40 characters.
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# Overrides userIp if both are provided.
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# @param [String] user_ip
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# IP address of the site where the request originates. Use this if you want to
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# enforce per-user limits.
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# @param [Google::Apis::RequestOptions] options
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# Request-specific options
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#
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# @yield [result, err] Result & error if block supplied
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# @yieldparam result [NilClass] No result returned for this method
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# @yieldparam err [StandardError] error object if request failed
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#
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# @return [void]
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#
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# @raise [Google::Apis::ServerError] An error occurred on the server and the request can be retried
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# @raise [Google::Apis::ClientError] The request is invalid and should not be retried without modification
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# @raise [Google::Apis::AuthorizationError] Authorization is required
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def delete_trainedmodel(id, fields: nil, quota_user: nil, user_ip: nil, options: nil, &block)
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command = make_simple_command(:delete, 'trainedmodels/{id}', options)
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command.params['id'] = id unless id.nil?
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command.query['fields'] = fields unless fields.nil?
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command.query['quotaUser'] = quota_user unless quota_user.nil?
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command.query['userIp'] = user_ip unless user_ip.nil?
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execute_or_queue_command(command, &block)
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end
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# Check training status of your model.
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# @param [String] id
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# The unique name for the predictive model.
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# @param [String] fields
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# Selector specifying which fields to include in a partial response.
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# @param [String] quota_user
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# Available to use for quota purposes for server-side applications. Can be any
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# arbitrary string assigned to a user, but should not exceed 40 characters.
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# Overrides userIp if both are provided.
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# @param [String] user_ip
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# IP address of the site where the request originates. Use this if you want to
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# enforce per-user limits.
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# @param [Google::Apis::RequestOptions] options
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# Request-specific options
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#
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# @yield [result, err] Result & error if block supplied
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# @yieldparam result [Google::Apis::PredictionV1_4::Training] parsed result object
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# @yieldparam err [StandardError] error object if request failed
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#
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# @return [Google::Apis::PredictionV1_4::Training]
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#
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# @raise [Google::Apis::ServerError] An error occurred on the server and the request can be retried
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# @raise [Google::Apis::ClientError] The request is invalid and should not be retried without modification
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# @raise [Google::Apis::AuthorizationError] Authorization is required
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def get_trainedmodel(id, fields: nil, quota_user: nil, user_ip: nil, options: nil, &block)
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command = make_simple_command(:get, 'trainedmodels/{id}', options)
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command.response_representation = Google::Apis::PredictionV1_4::Training::Representation
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command.response_class = Google::Apis::PredictionV1_4::Training
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command.params['id'] = id unless id.nil?
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command.query['fields'] = fields unless fields.nil?
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command.query['quotaUser'] = quota_user unless quota_user.nil?
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command.query['userIp'] = user_ip unless user_ip.nil?
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execute_or_queue_command(command, &block)
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end
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# Begin training your model.
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# @param [Google::Apis::PredictionV1_4::Training] training_object
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# @param [String] fields
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# Selector specifying which fields to include in a partial response.
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# @param [String] quota_user
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# Available to use for quota purposes for server-side applications. Can be any
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# arbitrary string assigned to a user, but should not exceed 40 characters.
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# Overrides userIp if both are provided.
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# @param [String] user_ip
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# IP address of the site where the request originates. Use this if you want to
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# enforce per-user limits.
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# @param [Google::Apis::RequestOptions] options
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# Request-specific options
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#
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# @yield [result, err] Result & error if block supplied
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# @yieldparam result [Google::Apis::PredictionV1_4::Training] parsed result object
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# @yieldparam err [StandardError] error object if request failed
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#
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# @return [Google::Apis::PredictionV1_4::Training]
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#
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# @raise [Google::Apis::ServerError] An error occurred on the server and the request can be retried
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# @raise [Google::Apis::ClientError] The request is invalid and should not be retried without modification
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# @raise [Google::Apis::AuthorizationError] Authorization is required
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def insert_trainedmodel(training_object = nil, fields: nil, quota_user: nil, user_ip: nil, options: nil, &block)
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command = make_simple_command(:post, 'trainedmodels', options)
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command.request_representation = Google::Apis::PredictionV1_4::Training::Representation
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command.request_object = training_object
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command.response_representation = Google::Apis::PredictionV1_4::Training::Representation
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command.response_class = Google::Apis::PredictionV1_4::Training
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command.query['fields'] = fields unless fields.nil?
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command.query['quotaUser'] = quota_user unless quota_user.nil?
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command.query['userIp'] = user_ip unless user_ip.nil?
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execute_or_queue_command(command, &block)
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end
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# Submit model id and request a prediction
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# @param [String] id
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# The unique name for the predictive model.
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# @param [Google::Apis::PredictionV1_4::Input] input_object
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# @param [String] fields
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# Selector specifying which fields to include in a partial response.
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# @param [String] quota_user
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# Available to use for quota purposes for server-side applications. Can be any
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# arbitrary string assigned to a user, but should not exceed 40 characters.
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# Overrides userIp if both are provided.
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# @param [String] user_ip
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# IP address of the site where the request originates. Use this if you want to
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# enforce per-user limits.
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# @param [Google::Apis::RequestOptions] options
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# Request-specific options
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#
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# @yield [result, err] Result & error if block supplied
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# @yieldparam result [Google::Apis::PredictionV1_4::Output] parsed result object
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# @yieldparam err [StandardError] error object if request failed
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#
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# @return [Google::Apis::PredictionV1_4::Output]
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#
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# @raise [Google::Apis::ServerError] An error occurred on the server and the request can be retried
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# @raise [Google::Apis::ClientError] The request is invalid and should not be retried without modification
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# @raise [Google::Apis::AuthorizationError] Authorization is required
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def predict_trainedmodel(id, input_object = nil, fields: nil, quota_user: nil, user_ip: nil, options: nil, &block)
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command = make_simple_command(:post, 'trainedmodels/{id}/predict', options)
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command.request_representation = Google::Apis::PredictionV1_4::Input::Representation
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command.request_object = input_object
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command.response_representation = Google::Apis::PredictionV1_4::Output::Representation
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command.response_class = Google::Apis::PredictionV1_4::Output
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command.params['id'] = id unless id.nil?
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command.query['fields'] = fields unless fields.nil?
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command.query['quotaUser'] = quota_user unless quota_user.nil?
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command.query['userIp'] = user_ip unless user_ip.nil?
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execute_or_queue_command(command, &block)
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end
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# Add new data to a trained model.
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# @param [String] id
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# The unique name for the predictive model.
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# @param [Google::Apis::PredictionV1_4::Update] update_object
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# @param [String] fields
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# Selector specifying which fields to include in a partial response.
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# @param [String] quota_user
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# Available to use for quota purposes for server-side applications. Can be any
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# arbitrary string assigned to a user, but should not exceed 40 characters.
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# Overrides userIp if both are provided.
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# @param [String] user_ip
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# IP address of the site where the request originates. Use this if you want to
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# enforce per-user limits.
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# @param [Google::Apis::RequestOptions] options
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# Request-specific options
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#
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# @yield [result, err] Result & error if block supplied
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# @yieldparam result [Google::Apis::PredictionV1_4::Training] parsed result object
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# @yieldparam err [StandardError] error object if request failed
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#
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# @return [Google::Apis::PredictionV1_4::Training]
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#
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# @raise [Google::Apis::ServerError] An error occurred on the server and the request can be retried
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# @raise [Google::Apis::ClientError] The request is invalid and should not be retried without modification
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# @raise [Google::Apis::AuthorizationError] Authorization is required
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def update_trainedmodel(id, update_object = nil, fields: nil, quota_user: nil, user_ip: nil, options: nil, &block)
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command = make_simple_command(:put, 'trainedmodels/{id}', options)
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command.request_representation = Google::Apis::PredictionV1_4::Update::Representation
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command.request_object = update_object
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command.response_representation = Google::Apis::PredictionV1_4::Training::Representation
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command.response_class = Google::Apis::PredictionV1_4::Training
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command.params['id'] = id unless id.nil?
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command.query['fields'] = fields unless fields.nil?
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command.query['quotaUser'] = quota_user unless quota_user.nil?
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command.query['userIp'] = user_ip unless user_ip.nil?
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execute_or_queue_command(command, &block)
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end
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protected
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def apply_command_defaults(command)
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command.query['key'] = key unless key.nil?
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command.query['quotaUser'] = quota_user unless quota_user.nil?
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command.query['userIp'] = user_ip unless user_ip.nil?
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end
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end
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end
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end
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end
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