nebius.api.nebius.msp.mlflow.v1alpha1.ClusterSpec

class documentation

class ClusterSpec(Message): (source)

Constructor: ClusterSpec(initial_message, description, public_access, admin_username, ...)

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Cluster specification

Method __init__ Create a message from a source message and field values.
Method admin_password.setter Set or clear the generated admin_password field.
Method admin_username.setter Set or clear the generated admin_username field.
Method description.setter Set or clear the generated description field.
Method network_id.setter Set or clear the generated network_id field.
Method public_access.setter Set or clear the generated public_access field.
Method service_account_id.setter Set or clear the generated service_account_id field.
Method size.setter Set or clear the generated size field.
Method storage_bucket_name.setter Set or clear the generated storage_bucket_name field.
Constant __PROTO_DESCRIPTOR__ Protobuf message descriptor from the registry.
Constant __PROTO_FULL_NAME__ Fully qualified protobuf message name.
Constant __PY_TO_PB2__ Mapping from Python member names to protobuf names.
Property admin_password MLflow admin password.
Property admin_username MLflow admin username.
Property description Description of the cluster.
Property network_id ID of the vpc network.
Property public_access Either make cluster public accessible or accessible only via private VPC.
Property service_account_id Id of the service account that will be used to access S3 bucket (and create one if not provided).
Property size Size defines how much resources will be allocated to mlflow See supported sizes in the documentation. Default size is the smallest available in the region.
Property storage_bucket_name Name of the Nebius S3 bucket for MLflow artifacts. If not provided, will be created under the same parent.

Inherited from Message:

Class Method from_json Create a message from protobuf JSON mapping.
Class Method FromString Create a message by parsing protobuf wire-format bytes.
Class Method get_descriptor Return the message descriptor from the registry.
Class Method is_credentials Return True if a Python field contains credentials.
Class Method is_sensitive Return True if a Python field has the sensitive annotation.
Method __dir__ List generated fields, oneofs, and nested declarations.
Method __repr__ Render non-default fields without disclosing annotated secrets.
Method ByteSize Return the serialized protobuf wire size in bytes.
Method check_presence Check presence using a generated Python field name.
Method Clear Clear all fields, extensions, unknown fields, and the reset mask.
Method clear_extension Clear an extension value.
Method ClearField Clear a protobuf field or oneof and record it in the reset mask.
Method CopyFrom Replace this message with an independent copy of another message.
Method FindInitializationErrors Return paths of missing required fields.
Method get_extension Return an extension value.
Method get_full_update_reset_mask Create a reset mask from the current protobuf state.
Method get_mask Return the reset mask for field changes.
Method has_extension Return True if an extension has explicit presence.
Method HasField Return True if a protobuf field or oneof has explicit presence.
Method is_default Return True if a generated field has its default value.
Method IsInitialized Return True if every required field is initialized.
Method MergeFrom Merge fields from another message of the same generated type.
Method MergeFromString Merge protobuf wire-format bytes into this message.
Method ParseFromString Parse protobuf wire-format bytes and replace this message.
Method SerializeToString Serialize the message using protobuf wire format.
Method set_extension Set an extension value.
Method set_mask Set the reset mask for this message.
Method to_json Serialize this message using protobuf JSON mapping.
Method which_field_in_oneof Return the selected Python field name for a protobuf oneof.
Method WhichOneof Return the selected protobuf field name for a oneof.
Constant __EXTENSION_REGISTRY__ Registry that decodes protobuf extensions.
Constant __FIELDS__ Runtime field data that the generator creates.
Constant __MAX_NESTING_DEPTH__ Maximum protobuf nesting depth for serialization, parsing, and initialization checks.
Constant __PB2_DESCRIPTOR__ Alias for code that expects a protobuf descriptor.
Constant __REGISTRY__ Registry for the message and its descriptor.
Property Extensions Provide protobuf-compatible mapping access to extension values.
Class Method _fields_by_number Undocumented
Class Method _fields_by_proto_name Undocumented
Class Method _fields_by_python_name Undocumented
Class Method _from_string Deserialize internally without invoking generated user warnings.
Class Method _oneof_python_name Undocumented
Class Method _public_fields_by_proto_name Undocumented
Class Method _public_fields_by_python_name Undocumented
Static Method _format_map_key Undocumented
Static Method _repr_field Undocumented
Method _bind_child Undocumented
Method _bind_mutation Undocumented
Method _check_same_type Undocumented
Method _child_changed Undocumented
Method _clear_state Undocumented
Method _closed_enum_unknown Undocumented
Method _converted_view Undocumented
Method _decode_map_entry Undocumented
Method _detach_child Undocumented
Method _field_has_value Undocumented
Method _field_is_default Undocumented
Method _find_initialization_errors Undocumented
Method _get_field Undocumented
Method _map Undocumented
Method _merge_from_string Undocumented
Method _nesting_limit Undocumented
Method _notify Undocumented
Method _record_reset Undocumented
Method _repeated Undocumented
Method _select Undocumented
Method _serialize_to_string Undocumented
Method _set_field Undocumented
Method _suspend_mutation Undocumented
Method _suspend_reset_mask Undocumented
Method _try_decode_field Undocumented
Method _write_field Undocumented
Instance Variable _extensions Undocumented
Instance Variable _mutation_suspended Undocumented
Instance Variable _on_mutation Undocumented
Instance Variable _oneofs Undocumented
Instance Variable _present Undocumented
Instance Variable _reset_mask Undocumented
Instance Variable _reset_mask_suspended Undocumented
Instance Variable _unknown_fields Undocumented
Instance Variable _values Undocumented
Instance Variable _views Undocumented
def __init__(self, initial_message: SerializableMessage | None = None, *, description: str | None | UnsetType = _NEBIUS_UNSET, public_access: bool | None | UnsetType = _NEBIUS_UNSET, admin_username: str | None | UnsetType = _NEBIUS_UNSET, admin_password: str | None | UnsetType = _NEBIUS_UNSET, service_account_id: str | None | UnsetType = _NEBIUS_UNSET, storage_bucket_name: str | None | UnsetType = _NEBIUS_UNSET, network_id: str | None | UnsetType = _NEBIUS_UNSET, size: str | None | UnsetType = _NEBIUS_UNSET): (source)
overrides nebius.base.protos.direct.Message.__init__

Create a message from a source message and field values.

@admin_password.setter
def admin_password(self, value: str | None): (source)

Set or clear the generated admin_password field.

@admin_username.setter
def admin_username(self, value: str | None): (source)

Set or clear the generated admin_username field.

@description.setter
def description(self, value: str | None): (source)

Set or clear the generated description field.

@network_id.setter
def network_id(self, value: str | None): (source)

Set or clear the generated network_id field.

@public_access.setter
def public_access(self, value: bool | None): (source)

Set or clear the generated public_access field.

@service_account_id.setter
def service_account_id(self, value: str | None): (source)

Set or clear the generated service_account_id field.

@size.setter
def size(self, value: str | None): (source)

Set or clear the generated size field.

@storage_bucket_name.setter
def storage_bucket_name(self, value: str | None): (source)

Set or clear the generated storage_bucket_name field.

__PROTO_DESCRIPTOR__ = (source)
overrides nebius.base.protos.direct.Message.__PROTO_DESCRIPTOR__

Protobuf message descriptor from the registry.

Value
REGISTRY.message_descriptor('nebius.msp.mlflow.v1alpha1.ClusterSpec')
__PROTO_FULL_NAME__: str = (source)
overrides nebius.base.protos.direct.Message.__PROTO_FULL_NAME__

Fully qualified protobuf message name.

Value
'nebius.msp.mlflow.v1alpha1.ClusterSpec'
__PY_TO_PB2__: dict[str, str] = (source)
overrides nebius.base.protos.direct.Message.__PY_TO_PB2__

Mapping from Python member names to protobuf names.

Value
{'description': 'description',
 'public_access': 'public_access',
 'admin_username': 'admin_username',
 'admin_password': 'admin_password',
 'service_account_id': 'service_account_id',
 'storage_bucket_name': 'storage_bucket_name',
 'network_id': 'network_id',
...
@_NebiusProperty
admin_password: str = (source)

MLflow admin password.

@_NebiusProperty
admin_username: str = (source)

MLflow admin username.

@_NebiusProperty
description: str = (source)

Description of the cluster.

@_NebiusProperty
network_id: str = (source)

ID of the vpc network.

@_NebiusProperty
public_access: bool = (source)

Either make cluster public accessible or accessible only via private VPC.

@_NebiusProperty
service_account_id: str = (source)

Id of the service account that will be used to access S3 bucket (and create one if not provided).

@_NebiusProperty
size: str = (source)

Size defines how much resources will be allocated to mlflow See supported sizes in the documentation. Default size is the smallest available in the region.

@_NebiusProperty
storage_bucket_name: str = (source)

Name of the Nebius S3 bucket for MLflow artifacts. If not provided, will be created under the same parent.