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