Release 1.4.0

Lightwood 1.4.0 changelog:

Features:

• Streamlined dynamic .predict() argument passing (#563)
• Set default logging level with environment variable (@mrandri19, #603)
• Colored logs (@mrandri19, #608)

Bug fixes:

• JsonAI blocks are now Modules (#569)
• Ignore column drop error if column is not in the dataframe (#579)
• LightGBM dependency issue (#609)

Other

• Introduction to statistical analyzer tutorial (#577)
• Custom cleaner tutorial (#581)
• Custom mixer tutorial (#575)
• Custom analysis block tutorial (#576)
• Docstring for BaseEncoder (#587)
• Native Jupyter notebook support inside docs (#586)
• Automated docs deployment (#610)
• Updated CLA bot (#612)
• Improved README.md and CONTRIBUTING.md (#613)

Note: benchmarks will not run on the latest commit for this release, they were instead successfully ran for commit 79f27325a0877bb95709373007a97161fc9bb2eb .

Release 1.3.0

Lightwood 1.3.0 changelog:

Features:

• Modular Cleaner (#538 and #568)
• Modular Analysis (#539)
• Better Imports (#540)
• Improved Json AI default arguments (#543)
• Add seed to splitter (#553)
• Stratification and 3-way splitting (#542, #571)
• Use MASE metric for TS model selection (#499)

Bug fixes:

• Allow quantity as target (#546)
• Fix for LightGBM device check (#544)
• Select OneHotEncoder at Json AI build time and fix pd.None bugs (#549)
• Miscellaneous fixes (#570)

Other

• Improved CONTRIBUTING.md (#550)

Release v1.2.0

Features:

• Better defaults for Neural model in time series tasks (#461)
• Seed keyword passed (#482)
• Handle ' and " in dataset column names (#503)
• Helper function to split grouped time series (#501)
• Enhanced date-time + tag histograms (#502)
• Nonconformist speed optimizations (#497)
• Add dtype.tsarray (#530)

Bug fixes:

• Fix analysis memory usage (#485)
• Fix incorrect return value for order column in time series tasks (#488)
• Fix time series encoding issue (#495)
• Remove deprecated logic (#518)
• Make explainer work with categorical targets not present in the training data (#500)
• Fix sktime dependency (#524)
• Better detection, cleaning and encoding of arrays (#512)
• Use correct accuracy score for binary data (#532)
• allow_incomplete_history for time series predictors (#525)

Other

• Automated documentation (NOTE: still in beta; #519, #528)
• Rename model to mixer; folds to subsets (#534)