# 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.BqmlIterationResult do
  @moduledoc """


  ## Attributes

  *   `durationMs` (*type:* `String.t`, *default:* `nil`) - [Output-only, Beta] Time taken to run the training iteration in milliseconds.
  *   `evalLoss` (*type:* `float()`, *default:* `nil`) - [Output-only, Beta] Eval loss computed on the eval data at the end of the iteration. The eval loss is used for early stopping to avoid overfitting. No eval loss if eval_split_method option is specified as no_split or auto_split with input data size less than 500 rows.
  *   `index` (*type:* `integer()`, *default:* `nil`) - [Output-only, Beta] Index of the ML training iteration, starting from zero for each training run.
  *   `learnRate` (*type:* `float()`, *default:* `nil`) - [Output-only, Beta] Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant.
  *   `trainingLoss` (*type:* `float()`, *default:* `nil`) - [Output-only, Beta] Training loss computed on the training data at the end of the iteration. The training loss function is defined by model type.
  """

  use GoogleApi.Gax.ModelBase

  @type t :: %__MODULE__{
          :durationMs => String.t() | nil,
          :evalLoss => float() | nil,
          :index => integer() | nil,
          :learnRate => float() | nil,
          :trainingLoss => float() | nil
        }

  field(:durationMs)
  field(:evalLoss)
  field(:index)
  field(:learnRate)
  field(:trainingLoss)
end

defimpl Poison.Decoder, for: GoogleApi.BigQuery.V2.Model.BqmlIterationResult do
  def decode(value, options) do
    GoogleApi.BigQuery.V2.Model.BqmlIterationResult.decode(value, options)
  end
end

defimpl Poison.Encoder, for: GoogleApi.BigQuery.V2.Model.BqmlIterationResult do
  def encode(value, options) do
    GoogleApi.Gax.ModelBase.encode(value, options)
  end
end