Dataset Validation and Bug Fixes

New Functionalities

• Dataset Validations

Minor Improvements

• Filtering models by AI function
• Fixing finetune and data asset functional tests
• Fixing metric example in documentation

Metrics, Benchmark and Data Asset processing with Pipelines

New Functionalities

• Models benchmarking
• Metrics execution
• Dataset onboarding from S3 links
• Dataset processing with pipelines

Minor Improvements

• Deprecated old methods (e.g. create_asset_from_id and get_assets_from_page)
• Text Normalization added on benchmark
• Refactored SDK to have uniformity across all modules in I/O types and function names

Error handling and Team Key validation

• team api key validation
• Error handling on data asset onboard

Renames package from aiXtend to aiXplain

0.1.1

Renames package from aiXtend to aiXplain

Dataset Onboard and List Corpus/Dataset Services

Dataset Onboard and List Corpus/Dataset Services

Adds support to access datasets, metrics, and create benchmarking jobs.

0.1.0

Adds support to access datasets, metrics, and create benchmarking jobs.

Model Caller

0.0.5

Highlight python code snippets in README

Pre-alpha version of aixplain-pipelines

This release contains a pre-alpha version of aixplain-pipelines with sample code to generate subtitles.