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google-api-ruby-client/generated/google/apis/prediction_v1_6/classes.rb

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Add generated APIs
2015-06-23 23:05:46 +00:00
# Copyright 2015 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
require 'date'
require 'google/apis/core/base_service'
require 'google/apis/core/json_representation'
require 'google/apis/core/hashable'
require 'google/apis/errors'
module Google
module Apis
module PredictionV1_6
#
class Analyze
include Google::Apis::Core::Hashable
# Description of the data the model was trained on.
# Corresponds to the JSON property `dataDescription`
# @return [Google::Apis::PredictionV1_6::Analyze::DataDescription]
attr_accessor :data_description
# List of errors with the data.
# Corresponds to the JSON property `errors`
# @return [Array<Hash<String,String>>]
attr_accessor :errors
# The unique name for the predictive model.
# Corresponds to the JSON property `id`
# @return [String]
attr_accessor :id
# What kind of resource this is.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# Description of the model.
# Corresponds to the JSON property `modelDescription`
# @return [Google::Apis::PredictionV1_6::Analyze::ModelDescription]
attr_accessor :model_description
# A URL to re-request this resource.
# Corresponds to the JSON property `selfLink`
# @return [String]
attr_accessor :self_link
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@data_description = args[:data_description] unless args[:data_description].nil?
@errors = args[:errors] unless args[:errors].nil?
@id = args[:id] unless args[:id].nil?
@kind = args[:kind] unless args[:kind].nil?
@model_description = args[:model_description] unless args[:model_description].nil?
@self_link = args[:self_link] unless args[:self_link].nil?
end
# Description of the data the model was trained on.
class DataDescription
include Google::Apis::Core::Hashable
# Description of the input features in the data set.
# Corresponds to the JSON property `features`
# @return [Array<Google::Apis::PredictionV1_6::Analyze::DataDescription::Feature>]
attr_accessor :features
# Description of the output value or label.
# Corresponds to the JSON property `outputFeature`
# @return [Google::Apis::PredictionV1_6::Analyze::DataDescription::OutputFeature]
attr_accessor :output_feature
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@features = args[:features] unless args[:features].nil?
@output_feature = args[:output_feature] unless args[:output_feature].nil?
end
#
class Feature
include Google::Apis::Core::Hashable
# Description of the categorical values of this feature.
# Corresponds to the JSON property `categorical`
# @return [Google::Apis::PredictionV1_6::Analyze::DataDescription::Feature::Categorical]
attr_accessor :categorical
# The feature index.
# Corresponds to the JSON property `index`
# @return [String]
attr_accessor :index
# Description of the numeric values of this feature.
# Corresponds to the JSON property `numeric`
# @return [Google::Apis::PredictionV1_6::Analyze::DataDescription::Feature::Numeric]
attr_accessor :numeric
# Description of multiple-word text values of this feature.
# Corresponds to the JSON property `text`
# @return [Google::Apis::PredictionV1_6::Analyze::DataDescription::Feature::Text]
attr_accessor :text
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@categorical = args[:categorical] unless args[:categorical].nil?
@index = args[:index] unless args[:index].nil?
@numeric = args[:numeric] unless args[:numeric].nil?
@text = args[:text] unless args[:text].nil?
end
# Description of the categorical values of this feature.
class Categorical
include Google::Apis::Core::Hashable
# Number of categorical values for this feature in the data.
# Corresponds to the JSON property `count`
# @return [String]
attr_accessor :count
# List of all the categories for this feature in the data set.
# Corresponds to the JSON property `values`
# @return [Array<Google::Apis::PredictionV1_6::Analyze::DataDescription::Feature::Categorical::Value>]
attr_accessor :values
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@count = args[:count] unless args[:count].nil?
@values = args[:values] unless args[:values].nil?
end
#
class Value
include Google::Apis::Core::Hashable
# Number of times this feature had this value.
# Corresponds to the JSON property `count`
# @return [String]
attr_accessor :count
# The category name.
# Corresponds to the JSON property `value`
# @return [String]
attr_accessor :value
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@count = args[:count] unless args[:count].nil?
@value = args[:value] unless args[:value].nil?
end
end
end
# Description of the numeric values of this feature.
class Numeric
include Google::Apis::Core::Hashable
# Number of numeric values for this feature in the data set.
# Corresponds to the JSON property `count`
# @return [String]
attr_accessor :count
# Mean of the numeric values of this feature in the data set.
# Corresponds to the JSON property `mean`
# @return [String]
attr_accessor :mean
# Variance of the numeric values of this feature in the data set.
# Corresponds to the JSON property `variance`
# @return [String]
attr_accessor :variance
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@count = args[:count] unless args[:count].nil?
@mean = args[:mean] unless args[:mean].nil?
@variance = args[:variance] unless args[:variance].nil?
end
end
# Description of multiple-word text values of this feature.
class Text
include Google::Apis::Core::Hashable
# Number of multiple-word text values for this feature.
# Corresponds to the JSON property `count`
# @return [String]
attr_accessor :count
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@count = args[:count] unless args[:count].nil?
end
end
end
# Description of the output value or label.
class OutputFeature
include Google::Apis::Core::Hashable
# Description of the output values in the data set.
# Corresponds to the JSON property `numeric`
# @return [Google::Apis::PredictionV1_6::Analyze::DataDescription::OutputFeature::Numeric]
attr_accessor :numeric
# Description of the output labels in the data set.
# Corresponds to the JSON property `text`
# @return [Array<Google::Apis::PredictionV1_6::Analyze::DataDescription::OutputFeature::Text>]
attr_accessor :text
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@numeric = args[:numeric] unless args[:numeric].nil?
@text = args[:text] unless args[:text].nil?
end
# Description of the output values in the data set.
class Numeric
include Google::Apis::Core::Hashable
# Number of numeric output values in the data set.
# Corresponds to the JSON property `count`
# @return [String]
attr_accessor :count
# Mean of the output values in the data set.
# Corresponds to the JSON property `mean`
# @return [String]
attr_accessor :mean
# Variance of the output values in the data set.
# Corresponds to the JSON property `variance`
# @return [String]
attr_accessor :variance
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@count = args[:count] unless args[:count].nil?
@mean = args[:mean] unless args[:mean].nil?
@variance = args[:variance] unless args[:variance].nil?
end
end
#
class Text
include Google::Apis::Core::Hashable
# Number of times the output label occurred in the data set.
# Corresponds to the JSON property `count`
# @return [String]
attr_accessor :count
# The output label.
# Corresponds to the JSON property `value`
# @return [String]
attr_accessor :value
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@count = args[:count] unless args[:count].nil?
@value = args[:value] unless args[:value].nil?
end
end
end
end
# Description of the model.
class ModelDescription
include Google::Apis::Core::Hashable
# An output confusion matrix. This shows an estimate for how this model will do
# in predictions. This is first indexed by the true class label. For each true
# class label, this provides a pair `predicted_label, count`, where count is the
# estimated number of times the model will predict the predicted label given the
# true label. Will not output if more then 100 classes (Categorical models only).
# Corresponds to the JSON property `confusionMatrix`
# @return [Hash<String,Hash<String,String>>]
attr_accessor :confusion_matrix
# A list of the confusion matrix row totals.
# Corresponds to the JSON property `confusionMatrixRowTotals`
# @return [Hash<String,String>]
attr_accessor :confusion_matrix_row_totals
# Basic information about the model.
# Corresponds to the JSON property `modelinfo`
# @return [Google::Apis::PredictionV1_6::Insert2]
attr_accessor :modelinfo
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confusion_matrix = args[:confusion_matrix] unless args[:confusion_matrix].nil?
@confusion_matrix_row_totals = args[:confusion_matrix_row_totals] unless args[:confusion_matrix_row_totals].nil?
@modelinfo = args[:modelinfo] unless args[:modelinfo].nil?
end
end
end
#
class Input
include Google::Apis::Core::Hashable
# Input to the model for a prediction.
# Corresponds to the JSON property `input`
# @return [Google::Apis::PredictionV1_6::Input::Input]
attr_accessor :input
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@input = args[:input] unless args[:input].nil?
end
# Input to the model for a prediction.
class Input
include Google::Apis::Core::Hashable
# A list of input features, these can be strings or doubles.
# Corresponds to the JSON property `csvInstance`
# @return [Array<Object>]
attr_accessor :csv_instance
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@csv_instance = args[:csv_instance] unless args[:csv_instance].nil?
end
end
end
#
class Insert
include Google::Apis::Core::Hashable
# The unique name for the predictive model.
# Corresponds to the JSON property `id`
# @return [String]
attr_accessor :id
# Type of predictive model (classification or regression).
# Corresponds to the JSON property `modelType`
# @return [String]
attr_accessor :model_type
# The Id of the model to be copied over.
# Corresponds to the JSON property `sourceModel`
# @return [String]
attr_accessor :source_model
# Google storage location of the training data file.
# Corresponds to the JSON property `storageDataLocation`
# @return [String]
attr_accessor :storage_data_location
# Google storage location of the preprocessing pmml file.
# Corresponds to the JSON property `storagePMMLLocation`
# @return [String]
attr_accessor :storage_pmml_location
# Google storage location of the pmml model file.
# Corresponds to the JSON property `storagePMMLModelLocation`
# @return [String]
attr_accessor :storage_pmml_model_location
# Instances to train model on.
# Corresponds to the JSON property `trainingInstances`
# @return [Array<Google::Apis::PredictionV1_6::Insert::TrainingInstance>]
attr_accessor :training_instances
# A class weighting function, which allows the importance weights for class
# labels to be specified (Categorical models only).
# Corresponds to the JSON property `utility`
# @return [Array<Hash<String,Float>>]
attr_accessor :utility
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@id = args[:id] unless args[:id].nil?
@model_type = args[:model_type] unless args[:model_type].nil?
@source_model = args[:source_model] unless args[:source_model].nil?
@storage_data_location = args[:storage_data_location] unless args[:storage_data_location].nil?
@storage_pmml_location = args[:storage_pmml_location] unless args[:storage_pmml_location].nil?
@storage_pmml_model_location = args[:storage_pmml_model_location] unless args[:storage_pmml_model_location].nil?
@training_instances = args[:training_instances] unless args[:training_instances].nil?
@utility = args[:utility] unless args[:utility].nil?
end
#
class TrainingInstance
include Google::Apis::Core::Hashable
# The input features for this instance.
# Corresponds to the JSON property `csvInstance`
# @return [Array<Object>]
attr_accessor :csv_instance
# The generic output value - could be regression or class label.
# Corresponds to the JSON property `output`
# @return [String]
attr_accessor :output
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@csv_instance = args[:csv_instance] unless args[:csv_instance].nil?
@output = args[:output] unless args[:output].nil?
end
end
end
#
class Insert2
include Google::Apis::Core::Hashable
# Insert time of the model (as a RFC 3339 timestamp).
# Corresponds to the JSON property `created`
# @return [DateTime]
attr_accessor :created
# The unique name for the predictive model.
# Corresponds to the JSON property `id`
# @return [String]
attr_accessor :id
# What kind of resource this is.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# Model metadata.
# Corresponds to the JSON property `modelInfo`
# @return [Google::Apis::PredictionV1_6::Insert2::ModelInfo]
attr_accessor :model_info
# Type of predictive model (CLASSIFICATION or REGRESSION).
# Corresponds to the JSON property `modelType`
# @return [String]
attr_accessor :model_type
# A URL to re-request this resource.
# Corresponds to the JSON property `selfLink`
# @return [String]
attr_accessor :self_link
# Google storage location of the training data file.
# Corresponds to the JSON property `storageDataLocation`
# @return [String]
attr_accessor :storage_data_location
# Google storage location of the preprocessing pmml file.
# Corresponds to the JSON property `storagePMMLLocation`
# @return [String]
attr_accessor :storage_pmml_location
# Google storage location of the pmml model file.
# Corresponds to the JSON property `storagePMMLModelLocation`
# @return [String]
attr_accessor :storage_pmml_model_location
# Training completion time (as a RFC 3339 timestamp).
# Corresponds to the JSON property `trainingComplete`
# @return [DateTime]
attr_accessor :training_complete
# The current status of the training job. This can be one of following: RUNNING;
# DONE; ERROR; ERROR: TRAINING JOB NOT FOUND
# Corresponds to the JSON property `trainingStatus`
# @return [String]
attr_accessor :training_status
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@created = args[:created] unless args[:created].nil?
@id = args[:id] unless args[:id].nil?
@kind = args[:kind] unless args[:kind].nil?
@model_info = args[:model_info] unless args[:model_info].nil?
@model_type = args[:model_type] unless args[:model_type].nil?
@self_link = args[:self_link] unless args[:self_link].nil?
@storage_data_location = args[:storage_data_location] unless args[:storage_data_location].nil?
@storage_pmml_location = args[:storage_pmml_location] unless args[:storage_pmml_location].nil?
@storage_pmml_model_location = args[:storage_pmml_model_location] unless args[:storage_pmml_model_location].nil?
@training_complete = args[:training_complete] unless args[:training_complete].nil?
@training_status = args[:training_status] unless args[:training_status].nil?
end
# Model metadata.
class ModelInfo
include Google::Apis::Core::Hashable
# Estimated accuracy of model taking utility weights into account (Categorical
# models only).
# Corresponds to the JSON property `classWeightedAccuracy`
# @return [String]
attr_accessor :class_weighted_accuracy
# A number between 0.0 and 1.0, where 1.0 is 100% accurate. This is an estimate,
# based on the amount and quality of the training data, of the estimated
# prediction accuracy. You can use this is a guide to decide whether the results
# are accurate enough for your needs. This estimate will be more reliable if
# your real input data is similar to your training data (Categorical models only)
# .
# Corresponds to the JSON property `classificationAccuracy`
# @return [String]
attr_accessor :classification_accuracy
# An estimated mean squared error. The can be used to measure the quality of the
# predicted model (Regression models only).
# Corresponds to the JSON property `meanSquaredError`
# @return [String]
attr_accessor :mean_squared_error
# Type of predictive model (CLASSIFICATION or REGRESSION).
# Corresponds to the JSON property `modelType`
# @return [String]
attr_accessor :model_type
# Number of valid data instances used in the trained model.
# Corresponds to the JSON property `numberInstances`
# @return [String]
attr_accessor :number_instances
# Number of class labels in the trained model (Categorical models only).
# Corresponds to the JSON property `numberLabels`
# @return [String]
attr_accessor :number_labels
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@class_weighted_accuracy = args[:class_weighted_accuracy] unless args[:class_weighted_accuracy].nil?
@classification_accuracy = args[:classification_accuracy] unless args[:classification_accuracy].nil?
@mean_squared_error = args[:mean_squared_error] unless args[:mean_squared_error].nil?
@model_type = args[:model_type] unless args[:model_type].nil?
@number_instances = args[:number_instances] unless args[:number_instances].nil?
@number_labels = args[:number_labels] unless args[:number_labels].nil?
end
end
end
#
class List
include Google::Apis::Core::Hashable
# List of models.
# Corresponds to the JSON property `items`
# @return [Array<Google::Apis::PredictionV1_6::Insert2>]
attr_accessor :items
# What kind of resource this is.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# Pagination token to fetch the next page, if one exists.
# Corresponds to the JSON property `nextPageToken`
# @return [String]
attr_accessor :next_page_token
# A URL to re-request this resource.
# Corresponds to the JSON property `selfLink`
# @return [String]
attr_accessor :self_link
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@items = args[:items] unless args[:items].nil?
@kind = args[:kind] unless args[:kind].nil?
@next_page_token = args[:next_page_token] unless args[:next_page_token].nil?
@self_link = args[:self_link] unless args[:self_link].nil?
end
end
#
class Output
include Google::Apis::Core::Hashable
# The unique name for the predictive model.
# Corresponds to the JSON property `id`
# @return [String]
attr_accessor :id
# What kind of resource this is.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# The most likely class label (Categorical models only).
# Corresponds to the JSON property `outputLabel`
# @return [String]
attr_accessor :output_label
# A list of class labels with their estimated probabilities (Categorical models
# only).
# Corresponds to the JSON property `outputMulti`
# @return [Array<Google::Apis::PredictionV1_6::Output::OutputMulti>]
attr_accessor :output_multi
# The estimated regression value (Regression models only).
# Corresponds to the JSON property `outputValue`
Update calendar resource method naming
2015-12-15 00:47:47 +00:00
# @return [Float]
Add generated APIs
2015-06-23 23:05:46 +00:00
attr_accessor :output_value
# A URL to re-request this resource.
# Corresponds to the JSON property `selfLink`
# @return [String]
attr_accessor :self_link
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@id = args[:id] unless args[:id].nil?
@kind = args[:kind] unless args[:kind].nil?
@output_label = args[:output_label] unless args[:output_label].nil?
@output_multi = args[:output_multi] unless args[:output_multi].nil?
@output_value = args[:output_value] unless args[:output_value].nil?
@self_link = args[:self_link] unless args[:self_link].nil?
end
#
class OutputMulti
include Google::Apis::Core::Hashable
# The class label.
# Corresponds to the JSON property `label`
# @return [String]
attr_accessor :label
# The probability of the class label.
# Corresponds to the JSON property `score`
# @return [String]
attr_accessor :score
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@label = args[:label] unless args[:label].nil?
@score = args[:score] unless args[:score].nil?
end
end
end
#
class Update
include Google::Apis::Core::Hashable
# The input features for this instance.
# Corresponds to the JSON property `csvInstance`
# @return [Array<Object>]
attr_accessor :csv_instance
# The generic output value - could be regression or class label.
# Corresponds to the JSON property `output`
# @return [String]
attr_accessor :output
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@csv_instance = args[:csv_instance] unless args[:csv_instance].nil?
@output = args[:output] unless args[:output].nil?
end
end
end
end
end