Skip to main content

Common type definitions for the Uncertainty Engine

Project description

Uncertainty Engine banner

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 format node.handle and 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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

uncertainty_engine_types-0.0.11.tar.gz (5.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

uncertainty_engine_types-0.0.11-py3-none-any.whl (10.8 kB view details)

Uploaded Python 3

File details

Details for the file uncertainty_engine_types-0.0.11.tar.gz.

File metadata

  • Download URL: uncertainty_engine_types-0.0.11.tar.gz
  • Upload date:
  • Size: 5.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.1 CPython/3.13.1 Darwin/23.6.0

File hashes

Hashes for uncertainty_engine_types-0.0.11.tar.gz
Algorithm Hash digest
SHA256 a028ea691e79e8d64c0c0d8fcee347f391c5f52aec9192c0b0404bf18cb36a9c
MD5 e7a6f203af3eb7f1a0b018305ec4d2c8
BLAKE2b-256 3f2d1252ecd50c7f4cc6bddd85d633226a9ab5afe7b9ed2d482253efef5bd103

See more details on using hashes here.

File details

Details for the file uncertainty_engine_types-0.0.11-py3-none-any.whl.

File metadata

File hashes

Hashes for uncertainty_engine_types-0.0.11-py3-none-any.whl
Algorithm Hash digest
SHA256 64d3649ab019c38c3b3da426bbc6e1ed6b60676963799350e69604aa99e49572
MD5 e0c847b59c576e0f2a2395f2f8669c5c
BLAKE2b-256 38eb1b0f708da652cf2b1f70fa1cab05ca94cfd2b257950a5764ce265ac3f5a2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page