# 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.MachineLearning.V1.Model.GoogleCloudMlV1_TrainingOutput do
@moduledoc """
Represents results of a training job. Output only.
## Attributes
* `builtInAlgorithmOutput` (*type:* `GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_BuiltInAlgorithmOutput.t`, *default:* `nil`) - Details related to built-in algorithms jobs. Only set for built-in algorithms jobs.
* `completedTrialCount` (*type:* `String.t`, *default:* `nil`) - The number of hyperparameter tuning trials that completed successfully. Only set for hyperparameter tuning jobs.
* `consumedMLUnits` (*type:* `float()`, *default:* `nil`) - The amount of ML units consumed by the job.
* `hyperparameterMetricTag` (*type:* `String.t`, *default:* `nil`) - The TensorFlow summary tag name used for optimizing hyperparameter tuning trials. See [`HyperparameterSpec.hyperparameterMetricTag`](#HyperparameterSpec.FIELDS.hyperparameter_metric_tag) for more information. Only set for hyperparameter tuning jobs.
* `isBuiltInAlgorithmJob` (*type:* `boolean()`, *default:* `nil`) - Whether this job is a built-in Algorithm job.
* `isHyperparameterTuningJob` (*type:* `boolean()`, *default:* `nil`) - Whether this job is a hyperparameter tuning job.
* `trials` (*type:* `list(GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_HyperparameterOutput.t)`, *default:* `nil`) - Results for individual Hyperparameter trials. Only set for hyperparameter tuning jobs.
* `webAccessUris` (*type:* `map()`, *default:* `nil`) - Output only. URIs for accessing [interactive shells](https://cloud.google.com/ai-platform/training/docs/monitor-debug-interactive-shell) (one URI for each training node). Only available if training_input.enable_web_access is `true`. The keys are names of each node in the training job; for example, `master-replica-0` for the master node, `worker-replica-0` for the first worker, and `ps-replica-0` for the first parameter server. The values are the URIs for each node's interactive shell.
"""
use GoogleApi.Gax.ModelBase
@type t :: %__MODULE__{
:builtInAlgorithmOutput =>
GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_BuiltInAlgorithmOutput.t() | nil,
:completedTrialCount => String.t() | nil,
:consumedMLUnits => float() | nil,
:hyperparameterMetricTag => String.t() | nil,
:isBuiltInAlgorithmJob => boolean() | nil,
:isHyperparameterTuningJob => boolean() | nil,
:trials =>
list(GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_HyperparameterOutput.t())
| nil,
:webAccessUris => map() | nil
}
field(:builtInAlgorithmOutput,
as: GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_BuiltInAlgorithmOutput
)
field(:completedTrialCount)
field(:consumedMLUnits)
field(:hyperparameterMetricTag)
field(:isBuiltInAlgorithmJob)
field(:isHyperparameterTuningJob)
field(:trials,
as: GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_HyperparameterOutput,
type: :list
)
field(:webAccessUris, type: :map)
end
defimpl Poison.Decoder, for: GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_TrainingOutput do
def decode(value, options) do
GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_TrainingOutput.decode(value, options)
end
end
defimpl Poison.Encoder, for: GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_TrainingOutput do
def encode(value, options) do
GoogleApi.Gax.ModelBase.encode(value, options)
end
end