Release 22.8.1.0

Changelog

Features

• Conformal forecasting #862
• Improved JsonAI templating for analysis blocks #960
• Some feature importance changes #961

Fixes

• Default NHITS space params #956
• Add data limits to PFI block #963

Release 22.7.4.0

Changelog

Features

• [ENH] New defaults for sktime mixer, new AutoETS and AutoARIMA mixers (#946)
• [ENH] Enforce bounded_ts_accuracy as default (#950)

Fixes

• fix quick start guide #943 (thanks to @ameliatheamazin!)
• [FIX] kwarg setting for LightGBM GPU (#944)
• [FIX] Hotfix: use defaults in new groups (#952)

Other

• [FIX] New bias description (#947)
• [ENH] Message for missing values (#948)

Release 22.7.3.0

Features

• [ENH] Add tn_conf for categorical targets (#936)

Bug fixes

• Better sp detection (#935)
• Various small fixes (#940)

Others

• Change supported Python versions to 3.7 and 3.8 (#930)
• Use prophet 1.1 with wheels (#911, thanks @abitrolly !)
• order_by is now a single column #938

Release 22.7.2.0

Release 22.7.2.0

Benchmarks

Features

• Experimental N-HITS forecasting mixer (#886)
• Differencing blocks for time series tasks (#903)
• Linear tree for LightGBMArray mixer (#902)
• STL decomposition blocks for time series tasks (#907)

Fixes

• Restored statsforecast as default backend for ARIMA models (#904)

Other

N/A

Release 22.6.1.2

Changelog

Features

• #894

Fixes

• #889
• #895
• #896
• #897

Other

• #789

Benchmarks:

• #8b07e93
• #b92c8fd

Release v22.5.1.0

Changelog:

Features

• #865 - ProphetMixer to forecast

Bug fixes

• #866 & #872 - Fix TS float cleaner can't deal with malformed input
• #873 - Fix non-null TS delta analysis

Other

Benchmarks

Release v22.4.1.0

Lightwood 22.4.1.0 changelog:

Features: -

Bug fixes:

• #848 - Log runtime per mixer
• #855 - Fix dimension error in neural mixer

Other

• #850 - Restore Windows CI

Full Changelog:

b05e8b4...v22.4.1.0

Release 22.2.1.0

Lightwood 22.2.1.0 changelog:

Features:

• Simpler and better Json AI #826
• Compute & log time per phase #828

Bug fixes: -

Other:

• Remove anomaly_error_rate arg in favor of fixed_confidence #825

Full Changelog: v22.1.4.0...v22.2.1.0

Release 22.1.4.0

Lightwood 22.1.4.0 changelog:

Moving forward, our release versioning schema will follow this format:
[year's last two digits].[month].[week].[patch]

(note: other MindsDB repositories will also switch to this)

Features:

• ConfStats block (#800): provides calibration insights for the lightwood predictor
• Temperature scaling block (#795, experimental & non-default): alternative to ICP block for confidence estimation
• Improved documentation pages (#806)
• Replaced default encoder for time series forecasting tasks (from RNN to simple MA features, #805)
• Explicit detrend and deseasonalize options for sktime mixer (#812)

Bug fixes:

• Updated update model tutorial (#774)
• Fix forecast horizon lower bound (#801)
• Handle empty input when predicting (#811)

Other

• Rename nr_predictions parameter to horizon (#803)
• Set allow_incomplete_history to True by default (#818)

Full Changelog

v1.9.0...v22.1.4.0

Release 1.9.0

Lightwood 1.9.0 changelog:

Features:

• Improved T+N forecast bounds (#788)
• Optimized classifier ICP block for confidence estimation (#798)

Bug fixes:

• Fixed initialization issues in confidence normalizer (#788)
• Fixed no analysis mode (+ parameter to specify this in a problem definition, #791)
• Fixed temporal delta estimation for ungrouped series (#792)

Other

• Add original query index column in output (used internally in MindsDB, #794)
• Streamlined explain() arg passing #797