def __init__(self,
api_version=None,
kind=None,
metadata=None,
spec=None,
status=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1Suggestion - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._api_version = None
self._kind = None
self._metadata = None
self._spec = None
self._status = None
self.discriminator = None
if api_version is not None:
self.api_version = api_version
if kind is not None:
self.kind = kind
if metadata is not None:
self.metadata = metadata
if spec is not None:
self.spec = spec
if status is not None:
self.status = status
def __init__(self, config_map=None, failure_condition=None, primary_container_name=None, primary_pod_labels=None, retain=None, success_condition=None, trial_parameters=None, trial_spec=None, local_vars_configuration=None): # noqa: E501
"""V1beta1TrialTemplate - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._config_map = None
self._failure_condition = None
self._primary_container_name = None
self._primary_pod_labels = None
self._retain = None
self._success_condition = None
self._trial_parameters = None
self._trial_spec = None
self.discriminator = None
if config_map is not None:
self.config_map = config_map
if failure_condition is not None:
self.failure_condition = failure_condition
if primary_container_name is not None:
self.primary_container_name = primary_container_name
if primary_pod_labels is not None:
self.primary_pod_labels = primary_pod_labels
if retain is not None:
self.retain = retain
if success_condition is not None:
self.success_condition = success_condition
if trial_parameters is not None:
self.trial_parameters = trial_parameters
if trial_spec is not None:
self.trial_spec = trial_spec
def __init__(self,
completion_time=None,
conditions=None,
last_reconcile_time=None,
observation=None,
start_time=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1TrialStatus - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._completion_time = None
self._conditions = None
self._last_reconcile_time = None
self._observation = None
self._start_time = None
self.discriminator = None
if completion_time is not None:
self.completion_time = completion_time
if conditions is not None:
self.conditions = conditions
if last_reconcile_time is not None:
self.last_reconcile_time = last_reconcile_time
if observation is not None:
self.observation = observation
if start_time is not None:
self.start_time = start_time
def __init__(self,
last_transition_time=None,
last_update_time=None,
message=None,
reason=None,
status='',
type='',
local_vars_configuration=None): # noqa: E501
"""V1beta1ExperimentCondition - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._last_transition_time = None
self._last_update_time = None
self._message = None
self._reason = None
self._status = None
self._type = None
self.discriminator = None
if last_transition_time is not None:
self.last_transition_time = last_transition_time
if last_update_time is not None:
self.last_update_time = last_update_time
if message is not None:
self.message = message
if reason is not None:
self.reason = reason
self.status = status
self.type = type
def __init__(self,
algorithm=None,
early_stopping=None,
max_failed_trial_count=None,
max_trial_count=None,
metrics_collector_spec=None,
nas_config=None,
objective=None,
parallel_trial_count=None,
parameters=None,
resume_policy=None,
trial_template=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1ExperimentSpec - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._algorithm = None
self._early_stopping = None
self._max_failed_trial_count = None
self._max_trial_count = None
self._metrics_collector_spec = None
self._nas_config = None
self._objective = None
self._parallel_trial_count = None
self._parameters = None
self._resume_policy = None
self._trial_template = None
self.discriminator = None
if algorithm is not None:
self.algorithm = algorithm
if early_stopping is not None:
self.early_stopping = early_stopping
if max_failed_trial_count is not None:
self.max_failed_trial_count = max_failed_trial_count
if max_trial_count is not None:
self.max_trial_count = max_trial_count
if metrics_collector_spec is not None:
self.metrics_collector_spec = metrics_collector_spec
if nas_config is not None:
self.nas_config = nas_config
if objective is not None:
self.objective = objective
if parallel_trial_count is not None:
self.parallel_trial_count = parallel_trial_count
if parameters is not None:
self.parameters = parameters
if resume_policy is not None:
self.resume_policy = resume_policy
if trial_template is not None:
self.trial_template = trial_template
def __init__(self,
metrics=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1Observation - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._metrics = None
self.discriminator = None
self.metrics = metrics
def __init__(self,
metrics_format=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1FilterSpec - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._metrics_format = None
self.discriminator = None
if metrics_format is not None:
self.metrics_format = metrics_format
def __init__(self, name=None, value=None, local_vars_configuration=None): # noqa: E501
"""V1beta1ParameterAssignment - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._name = None
self._value = None
self.discriminator = None
if name is not None:
self.name = name
if value is not None:
self.value = value
def __init__(self, collector=None, source=None, local_vars_configuration=None): # noqa: E501
"""V1beta1MetricsCollectorSpec - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._collector = None
self._source = None
self.discriminator = None
if collector is not None:
self.collector = collector
if source is not None:
self.source = source
def __init__(self, algorithm_name=None, algorithm_settings=None, local_vars_configuration=None): # noqa: E501
"""V1beta1AlgorithmSpec - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._algorithm_name = None
self._algorithm_settings = None
self.discriminator = None
if algorithm_name is not None:
self.algorithm_name = algorithm_name
if algorithm_settings is not None:
self.algorithm_settings = algorithm_settings
def __init__(self,
early_stopping_rules=None,
failure_condition=None,
metrics_collector=None,
objective=None,
parameter_assignments=None,
primary_container_name=None,
primary_pod_labels=None,
retain_run=None,
run_spec=None,
success_condition=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1TrialSpec - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._early_stopping_rules = None
self._failure_condition = None
self._metrics_collector = None
self._objective = None
self._parameter_assignments = None
self._primary_container_name = None
self._primary_pod_labels = None
self._retain_run = None
self._run_spec = None
self._success_condition = None
self.discriminator = None
if early_stopping_rules is not None:
self.early_stopping_rules = early_stopping_rules
if failure_condition is not None:
self.failure_condition = failure_condition
if metrics_collector is not None:
self.metrics_collector = metrics_collector
if objective is not None:
self.objective = objective
if parameter_assignments is not None:
self.parameter_assignments = parameter_assignments
if primary_container_name is not None:
self.primary_container_name = primary_container_name
if primary_pod_labels is not None:
self.primary_pod_labels = primary_pod_labels
if retain_run is not None:
self.retain_run = retain_run
if run_spec is not None:
self.run_spec = run_spec
if success_condition is not None:
self.success_condition = success_condition
def __init__(self, best_trial_name='', observation=None, parameter_assignments=None, local_vars_configuration=None): # noqa: E501
"""V1beta1OptimalTrial - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._best_trial_name = None
self._observation = None
self._parameter_assignments = None
self.discriminator = None
self.best_trial_name = best_trial_name
if observation is not None:
self.observation = observation
self.parameter_assignments = parameter_assignments
def __init__(self, configuration=None, header_name=None, header_value=None,
cookie=None):
if configuration is None:
configuration = Configuration()
self.configuration = configuration
# Use the pool property to lazily initialize the ThreadPool.
self._pool = None
self.rest_client = rest.RESTClientObject(configuration)
self.default_headers = {}
if header_name is not None:
self.default_headers[header_name] = header_value
self.cookie = cookie
# Set default User-Agent.
self.user_agent = 'Swagger-Codegen/0.1/python'
def __init__(self,
custom_collector=None,
kind='',
local_vars_configuration=None): # noqa: E501
"""V1beta1CollectorSpec - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._custom_collector = None
self._kind = None
self.discriminator = None
if custom_collector is not None:
self.custom_collector = custom_collector
self.kind = kind
def __init__(self,
config_map=None,
trial_spec=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1TrialSource - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._config_map = None
self._trial_spec = None
self.discriminator = None
if config_map is not None:
self.config_map = config_map
if trial_spec is not None:
self.trial_spec = trial_spec
def __init__(self, config_map_name=None, config_map_namespace=None, template_path=None, local_vars_configuration=None): # noqa: E501
"""V1beta1ConfigMapSource - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._config_map_name = None
self._config_map_namespace = None
self._template_path = None
self.discriminator = None
if config_map_name is not None:
self.config_map_name = config_map_name
if config_map_namespace is not None:
self.config_map_namespace = config_map_namespace
if template_path is not None:
self.template_path = template_path
def __init__(self,
graph_config=None,
operations=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1NasConfig - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._graph_config = None
self._operations = None
self.discriminator = None
if graph_config is not None:
self.graph_config = graph_config
if operations is not None:
self.operations = operations
def __init__(self,
kind=None,
path=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1FileSystemPath - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._kind = None
self._path = None
self.discriminator = None
if kind is not None:
self.kind = kind
if path is not None:
self.path = path
def __init__(self, file_system_path=None, filter=None, http_get=None, local_vars_configuration=None): # noqa: E501
"""V1beta1SourceSpec - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._file_system_path = None
self._filter = None
self._http_get = None
self.discriminator = None
if file_system_path is not None:
self.file_system_path = file_system_path
if filter is not None:
self.filter = filter
if http_get is not None:
self.http_get = http_get
def __init__(self,
operation_type=None,
parameters=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1Operation - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._operation_type = None
self._parameters = None
self.discriminator = None
if operation_type is not None:
self.operation_type = operation_type
if parameters is not None:
self.parameters = parameters
def __init__(self,
configuration=None,
header_name=None,
header_value=None,
cookie=None,
pool_threads=1):
if configuration is None:
configuration = Configuration.get_default_copy()
self.configuration = configuration
self.pool_threads = pool_threads
self.rest_client = rest.RESTClientObject(configuration)
self.default_headers = {}
if header_name is not None:
self.default_headers[header_name] = header_value
self.cookie = cookie
# Set default User-Agent.
self.user_agent = 'OpenAPI-Generator/0.1/python'
self.client_side_validation = configuration.client_side_validation
def __init__(self, list=None, max=None, min=None, step=None, local_vars_configuration=None): # noqa: E501
"""V1beta1FeasibleSpace - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._list = None
self._max = None
self._min = None
self._step = None
self.discriminator = None
if list is not None:
self.list = list
if max is not None:
self.max = max
if min is not None:
self.min = min
if step is not None:
self.step = step
def __init__(self, comparison=None, name=None, start_step=None, value=None, local_vars_configuration=None): # noqa: E501
"""V1beta1EarlyStoppingRule - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._comparison = None
self._name = None
self._start_step = None
self._value = None
self.discriminator = None
if comparison is not None:
self.comparison = comparison
if name is not None:
self.name = name
if start_step is not None:
self.start_step = start_step
if value is not None:
self.value = value
def __init__(self, algorithm=None, early_stopping=None, requests=None, resume_policy=None, local_vars_configuration=None): # noqa: E501
"""V1beta1SuggestionSpec - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._algorithm = None
self._early_stopping = None
self._requests = None
self._resume_policy = None
self.discriminator = None
if algorithm is not None:
self.algorithm = algorithm
if early_stopping is not None:
self.early_stopping = early_stopping
if requests is not None:
self.requests = requests
if resume_policy is not None:
self.resume_policy = resume_policy
def __init__(self,
description=None,
name=None,
reference=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1TrialParameterSpec - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._description = None
self._name = None
self._reference = None
self.discriminator = None
if description is not None:
self.description = description
if name is not None:
self.name = name
if reference is not None:
self.reference = reference
def __init__(self,
early_stopping_rules=None,
name=None,
parameter_assignments=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1TrialAssignment - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._early_stopping_rules = None
self._name = None
self._parameter_assignments = None
self.discriminator = None
if early_stopping_rules is not None:
self.early_stopping_rules = early_stopping_rules
if name is not None:
self.name = name
if parameter_assignments is not None:
self.parameter_assignments = parameter_assignments
def __init__(self,
input_sizes=None,
num_layers=None,
output_sizes=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1GraphConfig - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._input_sizes = None
self._num_layers = None
self._output_sizes = None
self.discriminator = None
if input_sizes is not None:
self.input_sizes = input_sizes
if num_layers is not None:
self.num_layers = num_layers
if output_sizes is not None:
self.output_sizes = output_sizes
def __init__(self,
feasible_space=None,
name=None,
parameter_type=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1ParameterSpec - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._feasible_space = None
self._name = None
self._parameter_type = None
self.discriminator = None
if feasible_space is not None:
self.feasible_space = feasible_space
if name is not None:
self.name = name
if parameter_type is not None:
self.parameter_type = parameter_type
def __init__(self, additional_metric_names=None, goal=None, metric_strategies=None, objective_metric_name=None, type=None, local_vars_configuration=None): # noqa: E501
"""V1beta1ObjectiveSpec - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._additional_metric_names = None
self._goal = None
self._metric_strategies = None
self._objective_metric_name = None
self._type = None
self.discriminator = None
if additional_metric_names is not None:
self.additional_metric_names = additional_metric_names
if goal is not None:
self.goal = goal
if metric_strategies is not None:
self.metric_strategies = metric_strategies
if objective_metric_name is not None:
self.objective_metric_name = objective_metric_name
if type is not None:
self.type = type
def __init__(self,
algorithm_settings=None,
completion_time=None,
conditions=None,
last_reconcile_time=None,
start_time=None,
suggestion_count=None,
suggestions=None,
local_vars_configuration=None): # noqa: E501
"""V1beta1SuggestionStatus - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._algorithm_settings = None
self._completion_time = None
self._conditions = None
self._last_reconcile_time = None
self._start_time = None
self._suggestion_count = None
self._suggestions = None
self.discriminator = None
if algorithm_settings is not None:
self.algorithm_settings = algorithm_settings
if completion_time is not None:
self.completion_time = completion_time
if conditions is not None:
self.conditions = conditions
if last_reconcile_time is not None:
self.last_reconcile_time = last_reconcile_time
if start_time is not None:
self.start_time = start_time
if suggestion_count is not None:
self.suggestion_count = suggestion_count
if suggestions is not None:
self.suggestions = suggestions
