Common type definitions for the Uncertainty Engine
Project description
Types
Common types definitions for the Uncertainty Engine. This library should be used by other packages to ensure consistency in the types used across the Uncertainty Engine.
Overview
Execution & Error Handling
- ExecutionError
Exception raised to indicate execution errors.
Graph & Node Types
- Graph
Represents a collection of nodes and their connections. - NodeElement
Defines a node with a type and associated inputs. - NodeId
A unique identifier for nodes. - SourceHandle & TargetHandle
Strings used to reference node connections.
Node Handles
- Handle
Represents a node handle in the formatnode.handleand validates this structure.
Language Learning Models (LLMs)
- LLMProvider
Enum listing supported LLM providers. - LLMConfig
Manages connections to LLMs based on the chosen provider and configuration.
Messaging
- Message
Represents a message with a role and content, used for interactions with LLMs.
TwinLab Models
- MachineLearningModel
Represents a model configuration including metadata.
Node Metadata
- NodeInputInfo
Describes the properties of a node's input. - NodeOutputInfo
Describes the properties of a node's output. - NodeInfo
Aggregates metadata for a node, including inputs and outputs.
Sensor Design
- SensorDesigner
Defines sensor configuration and provides functionality to load sensor data. - save_sensor_designer
Function to persist a sensor designer configuration.
SQL Database Types
- SQLKind
Enum listing supported SQL database types. - SQLConfig
Configures connections and operations for SQL databases.
Tabular Data
- TabularData
Represents CSV-based data and includes functionality to load it into a pandas DataFrame.
Token Types
- Token
Enum representing token types, such as TRAINING and STANDARD.
Vector Stores
- VectorStoreProvider
Enum for supported vector store providers. - VectorStoreConfig
Configures connections to vector stores.
Project details
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