Welcome to the documentation for the aisquared python package!

This package contains utilities to interact with the AI Squared technology stack, particularly with developing and deploying models to the AI Squared Platform or other applications developed through the AI Squared JavaScript SDK.

Current Production Version: 0.3.13

View this Documentation in PDF Format.

Installation

This package is available through Pypi and can be installed by running the following command:

pip install aisquared

Alternatively, the latest version of the software can be installed directly from GitHub using the following command:

pip install git+https://github.com/AISquaredInc/aisquared

Documentation

• aisquared
  • aisquared package
    • Subpackages
      • aisquared.base package
      • aisquared.config package
      • aisquared.logging package
      • aisquared.platform package
      • aisquared.serving package
      • aisquared.utils package
    • Module contents

Changelog

• Version 0.1.3

  • Added flags parameter to TextHarvester using regular expression harvesting

  • Deleted model_feedback parameter in ModelConfiguration object and included functionality in feedback_steps parameter

  • Changed format parameter to header for both deployed analytics

  • Added feedback and stages to DocumentPredictor and ImagePredictor objects

  • Non-API changes for ALLOWED_STAGES

  • Fixed bugs preventing Windows users from importing the package

  • Updated ModelConfiguration to include url parameter

  • Changed default tokenization string

• Version 0.2.0

  • Moved preprocessing steps under subpackages for specific kinds of preprocessing steps

  • Cleaned up documentation to render within programmatic access environments

  • Added aisquared.logging subpackage

  • Created InputHarvester

    • Allows for harvesting of input text, images, and tabular data

  • Created the aisquared.serving subpackage, specifically the deploy_model and get_remote_prediction functions

  • Created the GraphConfiguration class

  • Added auto-run parameter to ModelConfiguration and GraphConfiguration classes

  • Created the aisquared CLI with the following commands:

    • aisquared deploy, which deploys a model locally

    • aisquared predict, which predicts using a local JSON file

    • aisquared airfiles, which contains the subcommands list, delete, download, and upload

  • Changed all classes within aisquared.config.analytic to accept ‘tabular’ as an input_type

  • Removed aisquared.logging and aisquared.remote from top-level imports

  • Added round parameter to Regression postprocesser

  • Removed DocumentPredictor and ImagePredictor classes

  • Removed ChainRendering class

  • Created FilterRendering class

  • Altered QUALIFIERS

  • Added advanced rendering parameters to rendering objects

  • Removed logging and remote subpackages from top-level aisquared import

• Version 0.2.1

  • Added the S3Connector class to the analytics subpackage, which allows download of an analytic directly from S3

  • Updated the documentation and added the docs subdirectory for hosting the documentation on GitHub Pages

• Version 0.2.2

  • Fixed bug in to_dict method within ObjectRendering class

  • Fixed bug in name of MultiplyValue step

  • Fixed bug in datatype checking for text harvester

  • Added body_only parameter to TextHarvester

  • Added ‘underline’ to possible badges

  • Added threshold_key and threshold_values to relevant rendering classes

  • Added Trim text preprocessing class

  • Added CustomObject in the base package to allow for creation of custom classes

  • Added keyword harvesting capabilities

  • Added utils subpackage with capabilities to mimic a trained sklearn model

  • Small documentation changes

  • Changed the required imports for the package to streamline installation process, and created two installation options aisquared and aisquared[full]

• Version 0.2.3

  • Added functionality to add custom preprocessing and postprocessing functions to the model deployment pipeline

  • Added all parameter to LocalAnalytic class

  • Changed under-the-hood functionality of mimic_model function in line with updates to BeyondML

  • Altered the ReverseMLWorkflow analytic

  • Added the BarChartRendering, ContainerRendering, DashboardReplacementRendering, DoughnutChartRendering, HTMLTagRendering, LineChartRendering, PieChartRendering, SOSRendering, and TableRendering rendering classes

  • Added the QueryParameterHarvester harvester class

  • Added the limit parameter to the TextHarvester class

• Version 0.3.0

  • Added type hinting to documentation strings

  • Revamped documentation to use Sphinx

• Version 0.3.1

  • Changed Python type hints to allow for backwards compatibility with older versions of Python

• Version 0.3.2

  • Added functionality to the AISquaredPlatformClient

  • Added top_level_kwargs parameter to the CustomObject class

  • Added DashboardRendering class

  • Removed ‘px’ from default values in ImageRendering and ObjectRendering classes

  • Added functionality for creating, updating, and deleting users to AISquaredPlatformClient

  • Added functionality for creating, updating, and delting groups to AISquaredPlatformClient

  • Fixed bug related to requiring auto_run parameter to be string (fix involves casting as string)

  • Altered schemas for different “Chart” Rendering classes to conform to JavaScript standards

  • Streamlined the ModelConfiguration class to allow a more functional interface to build .air files

  • Updated ContainerRendering class with parameters for position and static_position

  • Updated across-the-board functionality of the AISquaredPlatformClient

• Version 0.3.3

  • Updated functionality of the AISquaredPlatformClient to interact directly with the platform ALB

  • Changed function names in support of change from MANN to BeyondML

  • Added documentation surrounding global configuration objects

  • Removed redundant additional dependencies

• Version 0.3.4

  • Added support for custom CSS strings to appropriate rendering classes

  • Refactored AISquaredPlatformClient to import functions from support files

  • Fixed documentation errors for the documentation site

  • Checked whether responses returned OK status code rather than 200

  • Moved CustomObject to aisquared.config from aisquared.base

  • Changed endpoint used to list platform users

  • Fixed response behaviors where no data was returned from AISquaredPlatformClient

• Version 0.3.5

  • Changed file_name parameter in ReverseMLWorkflow to file_names

  • Added documentation_link parameter to ModelConfiguration class

• Version 0.3.6

  • Fixed issue with type checking for ModelConfiguration Rendering classes

  • Restricted TensorFlow version to below 2.12.0 to prevent import issues

  • Added position parameter to WordRendering class

  • Changed default CSS styling for rendering classes

  • Changed name of all processor classes to processer

• Version 0.3.7

  • Changed schema of the DeployedAnalytic class to include API key management

  • Changed JSON schema of Preprocesser classes

  • Allowed .keras files to be saved and loaded with the ModelConfiguration and GraphConfiguration APIs into .air files

  • Relaxed TensorFlow requirements enforced in version 0.3.6

• Version 0.3.8

  • Created ChatbotHarvester class

  • Created TextRendering class

  • Changed location of reference lists of classes to clean up code

  • Updated class schemas to ensure compliance with expectations

  • Updated test cases

• Version 0.3.9

  • Created CustomRendering class

  • Changed to full import of CustomObject in aisquared.base subpackage

• Version 0.3.10

  • Added DatabricksClient to the aisquared.platform subpackage

• Version 0.3.11

  • Updated DeployedModel class configuration to conform to AIRJS

  • Updated DatabricksClient class to include update_job function

  • Updated custom CSS fields in rendering classes

  • Reconfigured ReverseMLWorkflow class

  • Added ‘User-Agent’ to headers for AISquaredPlatformClient and DatabricksClient

  • Added llmlink as a dependency to the ‘full’ installation of aisquared and added it as a top-level package

• Version 0.3.12

  • Updated DeployedModel class to support more abstract API calls

  • Updated ChatbotHarvester, DeployedAnalytic, and ChatRendering classes

  • Updated ModelConfiguration class with warnings and documentURL

  • Updated DeployedAnalytic class with more general support for API calls, DeployedModel to be deprecated

  • Created ONNXModel class to support ONNX models