mindsdb

New data handlers:

• Vitess

Lots of bug fixes, including:

• fixed: wrong time format in output of timeseries prediction
• fixed: sometime columns order in output is wrong

Documentation updates

Fixes

• Hugging Face required parameters (e.g. 'task') are not checked before model is created
• Mongo:
  • create predictor from mongo: integration and query are optional
  • join model and table in mongo: query is optional
• Fix imports for new ML module dataprep_ml
  Changes
• check model metadata before creation
  • pytorch has to be in tags
  • metadata.pipeline_tag equal model task
• Improved base error message if model fails post-download

Fix for HF:

• data_integration_ref can be None

• fix for 'retrain' of old models

New features:

• Managing model versions: set active, querying particular version and other
• Tagging of models

New data handlers:

• Vitess
• OpenGauss

Other:

• improved error messaging in some cases
• improved reading of csv files
• various bigfixes and improvements

• fix for 'RETRAIN MODEL'

• Migrating to projects structure.
  Project - is virtual database containing models and views. mindsdb database becomes a project. Please see documentation for more information about projects.
• new version of Lightwood as default ML engine
• сhanging working with database, logs, configs to be able run components independently
• massive documentation update.
• various improvements and bugfixes.

New data handlers:

• Databend
• Solr
• Impala
• Google Sheets
• TDEngine
• Orioledb
• StarRocks
• Oceanbase

New ML engines:

• Huggingface
• Merlion

New handlers:

• SAP HANA
• Teradata

Various fixes and documentation update

• fix for saving model to storage on 'retrain'

• fix for timeseries predictions

• fix for predictors storage

Fixes:

• missed requirement for Ludwig handler
• when downloading files from s3

Documentation update.

hew handlers:

• Hive
• D0lt
• YugabyteDB
• TimescaleDB

bugfixes:

• predictor entry will appear in 'predictors' table immediately after the "retrain predictor" call, without delay.
• no more unnecessary 'null' records in the output of timeseries prediction

updates of documentation

• updated Lightwood dependency

• cache for prediction
• new handler: YugabyteDB
• various fixes and improvements

• New handlers:
  Elasticsearch
  IBM Informix
  Matrixone
  D0lt
  Druid
  Monetdb
• Predictors versioning. Now you can view history of predictor retraining in the 'mindsdb.predictors_versions' table.
• Improvements of 'DESCRIBE PREDICTOR' output
• various bugfixes

Fixed wrong dependency for BigQuery handler

New handlers:

• Amazon S3
• Vertica
• Airtable
• Crate DB
• Apache Pinot

• DataStax handler
• DynamoDB handler

• BigQuery handler
• MongoDB handler improvements