class Datarobot::AiApi::Output
Attributes
ai_id[R]
evaluation[R]
links[R]
name[RW]
source[R]
target[RW]
Public Class Methods
create(ai_id:, learning_session_id:, output_name:)
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Creates a new output on the given target for a given dataset
@param [String] ai_id
The ID of the AI
to associate this output with @param [String] learning_session_id The ID of the learning session assocaite this output with @param [String] output_name The name of the output @return [Datarobot::AiApi::Output]
# File lib/datarobot/ai_api/output.rb, line 37 def self.create(ai_id:, learning_session_id:, output_name:) req_body = {learningSessionId: learning_session_id, outputName: output_name} Datarobot::AiApi.request_endpoint("/aiapi/ais/#{ai_id}/outputs/", method: "put", body: req_body) do |data| output = new(data) output.name = output_name output end end
new(options = {})
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Given a parsed response body from the API, will create a new ouptut object
# File lib/datarobot/ai_api/output.rb, line 8 def initialize(options = {}) set_from_options(options) @features = nil end
Public Instance Methods
features()
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gets all feature metadata for learned features of the associated dataset
@return [Array]
# File lib/datarobot/ai_api/output.rb, line 50 def features raise "no ai id" unless @ai_id Datarobot::AiApi.request_endpoint("/aiapi/ais/#{@ai_id}/outputs/#{@name}/features") do |data| @features = data["features"] end end
set_from_options(options = {})
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Takes a response body from the API. Will set all output attributes from the response body
@param [Hash] options A parsed response body @return [void]
# File lib/datarobot/ai_api/output.rb, line 18 def set_from_options(options = {}) # one-liner replacement for `stringify_keys` options = options.collect{|k,v| [k.to_s, v]}.to_h @name ||= options.dig("name") @target ||= options.dig("target") @source ||= options.dig("source") @links ||= options.dig("links") @ai_id ||= options.dig("aiId") @evaluation ||= Datarobot::AiApi::Evaluation.new(options.dig("evaluation") || {}) end