# Copyright 2019 Google LLC
#
# 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.
# NOTE: This file is auto generated by the elixir code generator program.
# Do not edit this file manually.
defmodule GoogleApi.BigQuery.V2.Model.EvaluationMetrics do
@moduledoc """
Evaluation metrics of a model. These are either computed on all training data or just the eval data based on whether eval data was used during training. These are not present for imported models.
## Attributes
* `arimaForecastingMetrics` (*type:* `GoogleApi.BigQuery.V2.Model.ArimaForecastingMetrics.t`, *default:* `nil`) - Populated for ARIMA models.
* `binaryClassificationMetrics` (*type:* `GoogleApi.BigQuery.V2.Model.BinaryClassificationMetrics.t`, *default:* `nil`) - Populated for binary classification/classifier models.
* `clusteringMetrics` (*type:* `GoogleApi.BigQuery.V2.Model.ClusteringMetrics.t`, *default:* `nil`) - Populated for clustering models.
* `multiClassClassificationMetrics` (*type:* `GoogleApi.BigQuery.V2.Model.MultiClassClassificationMetrics.t`, *default:* `nil`) - Populated for multi-class classification/classifier models.
* `rankingMetrics` (*type:* `GoogleApi.BigQuery.V2.Model.RankingMetrics.t`, *default:* `nil`) - Populated for implicit feedback type matrix factorization models.
* `regressionMetrics` (*type:* `GoogleApi.BigQuery.V2.Model.RegressionMetrics.t`, *default:* `nil`) - Populated for regression models and explicit feedback type matrix factorization models.
"""
use GoogleApi.Gax.ModelBase
@type t :: %__MODULE__{
:arimaForecastingMetrics =>
GoogleApi.BigQuery.V2.Model.ArimaForecastingMetrics.t() | nil,
:binaryClassificationMetrics =>
GoogleApi.BigQuery.V2.Model.BinaryClassificationMetrics.t() | nil,
:clusteringMetrics => GoogleApi.BigQuery.V2.Model.ClusteringMetrics.t() | nil,
:multiClassClassificationMetrics =>
GoogleApi.BigQuery.V2.Model.MultiClassClassificationMetrics.t() | nil,
:rankingMetrics => GoogleApi.BigQuery.V2.Model.RankingMetrics.t() | nil,
:regressionMetrics => GoogleApi.BigQuery.V2.Model.RegressionMetrics.t() | nil
}
field(:arimaForecastingMetrics, as: GoogleApi.BigQuery.V2.Model.ArimaForecastingMetrics)
field(:binaryClassificationMetrics, as: GoogleApi.BigQuery.V2.Model.BinaryClassificationMetrics)
field(:clusteringMetrics, as: GoogleApi.BigQuery.V2.Model.ClusteringMetrics)
field(:multiClassClassificationMetrics,
as: GoogleApi.BigQuery.V2.Model.MultiClassClassificationMetrics
)
field(:rankingMetrics, as: GoogleApi.BigQuery.V2.Model.RankingMetrics)
field(:regressionMetrics, as: GoogleApi.BigQuery.V2.Model.RegressionMetrics)
end
defimpl Poison.Decoder, for: GoogleApi.BigQuery.V2.Model.EvaluationMetrics do
def decode(value, options) do
GoogleApi.BigQuery.V2.Model.EvaluationMetrics.decode(value, options)
end
end
defimpl Poison.Encoder, for: GoogleApi.BigQuery.V2.Model.EvaluationMetrics do
def encode(value, options) do
GoogleApi.Gax.ModelBase.encode(value, options)
end
end