class datarobot._experimental.models.enums.VectorDatabaseChunkingMethod

Bases: StrEnum

Text chunking method names for VectorDatabases.

RECURSIVE = 'recursive'

SEMANTIC = 'semantic'

__new__(value)

class datarobot._experimental.models.enums.AllEnumMixin

Bases: object

classmethod all()

Return type:

List[str]

class datarobot._experimental.models.enums.NotebookType

Bases: AllEnumMixin, StrEnum

STANDALONE = 'plain'

CODESPACE = 'codespace'

__new__(value)

class datarobot._experimental.models.enums.RunType

Bases: StrEnum

SCHEDULED = 'scheduled'

MANUAL = 'manual'

__new__(value)

class datarobot._experimental.models.enums.ScheduledRunStatus

Bases: StrEnum

Possible statuses for scheduled notebook runs.

BLOCKED = 'BLOCKED'

CREATED = 'CREATED'

STARTED = 'STARTED'

EXPIRED = 'EXPIRED'

ABORTED = 'ABORTED'

INCOMPLETE = 'INCOMPLETE'

RUNNING = 'RUNNING'

PAUSED = 'PAUSED'

INITIALIZED = 'INITIALIZED'

COMPLETED = 'COMPLETED'

ERROR = 'ERROR'

COMPLETED_WITH_ERRORS = 'COMPLETED_WITH_ERRORS'

classmethod terminal_statuses()

Return type:

List[str]

__new__(value)

class datarobot._experimental.models.enums.NotebookPermissions

Bases: StrEnum

CAN_READ = 'CAN_READ'

CAN_UPDATE = 'CAN_UPDATE'

CAN_DELETE = 'CAN_DELETE'

CAN_SHARE = 'CAN_SHARE'

CAN_COPY = 'CAN_COPY'

CAN_EXECUTE = 'CAN_EXECUTE'

__new__(value)

class datarobot._experimental.models.enums.NotebookStatus

Bases: StrEnum

STOPPING = 'stopping'

STOPPED = 'stopped'

STARTING = 'starting'

RUNNING = 'running'

RESTARTING = 'restarting'

DEAD = 'dead'

DELETED = 'deleted'

__new__(value)

class datarobot._experimental.models.enums.IncrementalLearningStatus

Bases: object

STARTED = 'started'

IN_PROGRESS = 'in_progress'

COMPLETED = 'completed'

STOPPED = 'stopped'

ERROR = 'error'

ALL = ['started', 'in_progress', 'completed', 'stopped', 'error']

class datarobot._experimental.models.enums.IncrementalLearningItemStatus

Bases: object

IN_PROGRESS = 'in_progress'

COMPLETED = 'completed'

ERROR = 'error'

ALL = ['in_progress', 'completed', 'error']

class datarobot._experimental.models.enums.StorageType

Bases: StrEnum

Supported data storages.

SNOWFLAKE = 'snowflake'

BIGQUERY = 'bigquery'

DATABRICKS = 'databricks'

AI_CATALOG = 'aicatalog'

DATASTAGE = 'datastage'

__new__(value)

class datarobot._experimental.models.enums.OriginStorageType

Bases: StrEnum

Supported data sources.

SNOWFLAKE = 'snowflake'

BIGQUERY = 'bigquery'

DATABRICKS = 'databricks'

AI_CATALOG = 'aicatalog'

__new__(value)

class datarobot._experimental.models.enums.ChunkingType

Bases: StrEnum

Supported chunking types.

INCREMENTAL_LEARNING = 'incrementalLearning'

INCREMENTAL_LEARNING_OTV = 'incrementalLearningOtv'

SLICED_OFFSET_LIMIT = 'slicedOffsetLimit'

__new__(value)

class datarobot._experimental.models.enums.ChunkStorageType

Bases: StrEnum

Supported chunk storage.

DATASTAGE = 'datastage'

AI_CATALOG = 'aicatalog'

__new__(value)

class datarobot._experimental.models.enums.ChunkServiceDialect

Bases: StrEnum

SNOWFLAKE = 'snowflake'

BIGQUERY = 'bigquery'

DATABRICKS = 'databricks'

SPARK = 'spark'

POSTGRES = 'postgres'

__new__(value)

class datarobot._experimental.models.enums.ChunkingStrategy

Bases: StrEnum

FEATURES = 'features'

ROWS = 'rows'

__new__(value)

class datarobot._experimental.models.enums.ChunkingPartitionMethod

Bases: StrEnum

RANDOM = 'random'

STRATIFIED = 'stratified'

DATE = 'date'

__new__(value)

class datarobot._experimental.models.enums.FeedbackSentiment

Bases: StrEnum

POSITIVE = '1'

NEGATIVE = '0'

__new__(value)

class datarobot._experimental.models.enums.GuardConditionComparator

Bases: StrEnum

The comparator used in a guard condition.

GREATER_THAN = 'greaterThan'

LESS_THAN = 'lessThan'

EQUALS = 'equals'

NOT_EQUALS = 'notEquals'

IS = 'is'

IS_NOT = 'isNot'

MATCHES = 'matches'

DOES_NOT_MATCH = 'doesNotMatch'

CONTAINS = 'contains'

DOES_NOT_CONTAIN = 'doesNotContain'

__new__(value)

class datarobot._experimental.models.enums.AggregationType

Bases: StrEnum

The type of the metric aggregation.

AVERAGE = 'average'

BINARY_PERCENTAGE = 'percentYes'

MULTICLASS_PERCENTAGE = 'classPercentCoverage'

NGRAM_IMPORTANCE = 'ngramImportance'

GUARD_CONDITION_PERCENTAGE = 'guardConditionPercentYes'

__new__(value)

class datarobot._experimental.models.enums.GuardType

Bases: StrEnum

The type of the guard configuration used for moderation in production.

MODEL = 'guardModel'

NEMO = 'nemo'

OOTB = 'ootb'

PII = 'pii'

USER_MODEL = 'userModel'

__new__(value)

class datarobot._experimental.models.enums.VectorDatabaseRetrievers

Bases: StrEnum

Vector database retriever names.

SINGLE_LOOKUP_RETRIEVER = 'SINGLE_LOOKUP_RETRIEVER'

CONVERSATIONAL_RETRIEVER = 'CONVERSATIONAL_RETRIEVER'

MULTI_STEP_RETRIEVER = 'MULTI_STEP_RETRIEVER'

__new__(value)

class datarobot._experimental.models.enums.LLMTestConfigurationType

Bases: StrEnum

Supported LLM test configuration types.

CUSTOM = 'custom'

OOTB = 'ootb'

__new__(value)

class datarobot._experimental.models.enums.GradingResult

Bases: StrEnum

Supported LLM test grading results.

PASS = 'PASS'

FAIL = 'FAIL'

__new__(value)

class datarobot._experimental.models.enums.PromptSamplingStrategy

Bases: StrEnum

The prompt sampling strategy for the evaluation dataset configuration.

RANDOM_WITHOUT_REPLACEMENT = 'random_without_replacement'

FIRST_N_ROWS = 'first_n_rows'

__new__(value)

class datarobot._experimental.models.enums.ModerationGuardType

Bases: StrEnum

guard type

MODEL = 'guardModel'

NEMO = 'nemo'

OOTB = 'ootb'

PII = 'pii'

USER_MODEL = 'userModel'

__new__(value)

class datarobot._experimental.models.enums.ModerationGuardConditionLogic

Bases: StrEnum

condition logic

ANY = 'any'

__new__(value)

class datarobot._experimental.models.enums.ModerationGuardStage

Bases: StrEnum

guard stage

PROMPT = 'prompt'

RESPONSE = 'response'

__new__(value)

class datarobot._experimental.models.enums.ModerationGuardModelTargetType

Bases: StrEnum

BINARY = 'Binary'

REGRESSION = 'Regression'

MULTICLASS = 'Multiclass'

TEXT_GENERATION = 'TextGeneration'

__new__(value)

class datarobot._experimental.models.enums.ModerationGuardOotbType

Bases: StrEnum

TOKEN_COUNT = 'token_count'

FAITHFULNESS = 'faithfulness'

ROUGE_1 = 'rouge_1'

__new__(value)

class datarobot._experimental.models.enums.ModerationGuardLlmType

Bases: StrEnum

OPEN_AI = 'openAi'

AZURE_OPEN_AI = 'azureOpenAi'

__new__(value)

class datarobot._experimental.models.enums.ModerationTimeoutActionType

Bases: StrEnum

BLOCK = 'block'

SCORE = 'score'

__new__(value)

class datarobot._experimental.models.enums.ModerationGuardEntityType

Bases: StrEnum

Defines entity types the guards are associated with

CUSTOM_MODEL = 'customModel'

CUSTOM_MODEL_VERSION = 'customModelVersion'

PLAYGROUND = 'playground'

__new__(value)