Metadata-Version: 2.1
Name: aoa
Version: 6.0.0rc6
Summary: Python client for Teradata AnalyticOps Accelerator (AOA)
Home-page: UNKNOWN
Author: Teradata
Author-email: teradata.corporation@teradatacorporation.com
License: UNKNOWN
Description: # Teradata AnalyticOps Client
        
        - [Official Documentation](#official-documentation)
        - [Release Notes](#release-notes)
        
        ## Official Documentation
        
        The official documentation for the SDK and CLI can be found in the following links
        
        - [SDK]()
        - [CLI]()
        
        ## Release Notes
        
        ### 5.0.0
        
        - Feature: Add simpler teradataml context creation via aoa_create_context
        - Feature: Add database to connections
        - Feature: Support for human-readable model folder names
        - Feature: Improve UX of aoa run
        - Feature: Improved error messages for users related to auth and configure
        - Refactor: Package refactor of aoa.sto.util to aoa.util.sto
        - Bug: cli listing not filtering archived entities
        - Cleanup: Remove pyspark support from CLI
        - 
        
        ### 4.1.12
        
        - Bug: aoa connection add now hides password symbols
        - Bug: sto.util.cleanup_cli() used hardcoded models table
        - Feature: sto.util.check_sto_version() checks In-Vantage Python version compatibility
        - Feature: sto.util.collect_sto_versions() fetches dict with Python and packages versions
        
        ### 4.1.11
        
        - Bug: aoa run (evaluation) for R now uses the correct scoring file
        
        ### 4.1.10
        
        - Bug: aoa init templates were out of date
        - Bug: aoa run (score) didn't read the dataset template correctly
        - Bug: aoa run (score) tried to publish to prometheus 
        - Bug: aoa run (score) not passing model_table kwargs
        
        ### 4.1.9
        
        - Bug: Histogram buckets incorrectly offset by 1 for scoring metrics
        
        ### 4.1.7
        
        - Bug: Quoted and escaped exported connection environmental variables
        - Bug: aoa clone with `path` argument didn't create .aoa/config.yaml in correct directory
        - Feature: aoa clone without `path` now uses repository name by default
        - Feature: update BYOM import to upload artefacts before creating version 
        
        ### 4.1.6
        
        - Feature: Added local connections feature with Stored Password Protection
        - Feature: Self creation of .aoa/config.yaml file when cloning a repo
        - Bug: Fix argparse to use of common arguments
        - Feature: Support dataset templates for listing datasets and selecting dataset for train/eval
        - Bug: Fix aoa run for batch scoring, prompts for dataset template instead of dataset
        - Bug: Fix batch scoring histograms as cumulative
        
        ### 4.1.5
        
        - Bug: Fix computing stats
        - Feature: Autogenerate category labels and support for overriding them
        - Feature: Prompt for confirmation when retiring/archiving
        
        ### 4.1.4
        
        - Feature: Retiring deployments and archiving projects support
        - Feature: Added support for batch scoring monitoring
        
        ### 4.1.2
        
        - Bug: Fix computing stats
        - Bug: Fix local SQL model training and evaluation
        
        ### 4.1
        
        - Bug: CLI shows archived entities when listing datasets, projects, etc
        - Bug: Adapt histogram bins depending on range of integer types.
        
        ### 4.0
        
        - Feature: Extract and record dataset statistics for Training, Evaluation
        
        ### 3.1.1
        
        - Feature: `aoa clone` respects project branch
        - Bug: support Source Model ID from the backend
        
        ### 3.1
        
        - Feature: ability to separate evaluation and scoring logic into separate files for Python/R
        
        ### 3.0
        
        - Feature: Add support for Batch Scoring in run command
        - Feature: Added STO utilities to extract metadata for micro-models
        
        ### 2.7.2
        
        - Feature: Add support for OAUTH2 token refresh flows
        - Feature: Add dataset connections api support
        
        ### 2.7.1
        
        - Feature: Add TrainedModelArtefactsApi
        - Bug: pyspark cli only accepted old resources format
        - Bug: Auth mode not picked up from environment variables 
        
        ### 2.7.0 
        
        - Feature: Add support for dataset templates
        - Feature: Add support for listing models (local and remote), datasets, projects
        - Feature: Remove pykerberos dependency and update docs
        - Bug: Fix tests for new dataset template api structure
        - Bug: Unable to view/list more than 20 datasets / entities of any type in the cli 
        
        ### 2.6.2
         - Bug: Added list resources command.
         - Bug: Remove all kerberos dependencies from standard installation, as they can be now installed as an optional feature.
         - Feature: Add cli support for new artefact path formats
         
        ### 2.6.1 
         - Bug: Remove pykerberos as an installation dependency. 
        
Platform: UNKNOWN
Requires-Python: >=3.5.2
Description-Content-Type: text/markdown
