v24.12.1.0

What's Changed

• Removed Support for Python 3.8 by @MinuraPunchihewa in #1239
• Bumped sktime to >=0.30.0 and scikit-learn to >=1.5.0 by @MinuraPunchihewa in #1238
• Bumped Version for Release by @MinuraPunchihewa in #1240
• Release 24.12.1.0 by @MinuraPunchihewa in #1241

Full Changelog: v24.11.4.0...v24.12.1.0

v24.11.4.0

What's Changed

• Update pyproject.toml to fix sklearn dependabot alert by @dusvyat in #1230
• Update pyproject.toml to bump version by @dusvyat in #1231
• Pinned PyTorch Version to Support Windows Installations by @MinuraPunchihewa in #1233
• Fixed Broken Command in Workflow to Build Documentation by @MinuraPunchihewa in #1234
• Update version by @ZoranPandovski in #1235

Full Changelog: v24.5.2.0...v24.11.4.0

Release 24.5.2.0

What's Changed

• [Maint] Bump black and pillow by @paxcema in #1218
• [deps] update lightgbm to 4.3.0 by @paxcema in #1220
• Release 24.5.2.0 by @paxcema in #1221

Full Changelog: v24.3.3.1...v24.5.2.0

Release 24.3.3.1

Changelog

Features

• [ENH] Add test method to lightwood predictors #1206
• [ENH] Weighted regression #1210

Fixes

• [Fix] Check horizon in SkTime mixer #1202
• [Fix] Manage and pin dependencies with Poetry #1209
• [Fix] Remove unused dependencies #1212
• [Fix] Doc build CI secret

Other

• [Docs] Add documentation for Unit mixer #1204
• [Fix] Updated docs link #1205
• [Fix] Remove RnnEncoder #1203

Release 23.12.4.0

Changelog

Note: this release was overdue, the actual package version has been up in PyPI since December 25th, 2023.

Fixes

• Fix extra requirements
• Bump deps (#1201)

Release 23.11.1.0

Changelog

Note: this release was long overdue, the actual package version has been up in PyPI since October 26th, 2023.

Features

• Improve documentation of device-related methods and docs regarding GPU usage #1185
• New ts defaults & XGBoostArrayMixer #1191

Fixes

• Fix type hint #1193

Other

• Bump neuralforecast requirement #1195
• Update statsforecast & sktime #1197

Release 23.8.1.0

Changelog

Features

• Abort if there are no valid input features #1175
• Additional checks for categorical TS #1176
• Efficient TS predict #1179

Fixes

• Filter encoder args in code from jsonai #1177

Other

• Add support for Python 3.10 & 3.11 #1181
• Separate json_ai/codegen modules #1183

Benchmarks

Release 23.7.1.0

Changelog

Enhancements & features

• [ENH] Embedding mode #1163
• [ENH] Improve transform_timeseries #1164
• [ENH] Various improvements #1168
• [ENH] Efficient nhits finetune #1171

Fixes

• [FIX] Fix for transform_timeseries multiprocessing #1169

Benchmarks

Release 23.6.4.0

Changelog

This release features an improved time series pipeline which yields improved runtimes. Depending on the dataset size, this can be anywhere from 5x to > 100x.

Features

N/A

Fixes

• [FIX] black version #1152
• [FIX] More code formatter checks #1154
• [FIX] Optimized datetime encoder #1155
• [FIX] GluonTS mixer type error #1159
• [ENH] Improved none checks, remove STLs #1161
• [ENH] Vectorized __make_predictions in TS transforms #1162
• [ENH] Faster TS transforms #1156

Other

• [Refactor] Rename MP flag #1153

Release 23.6.2.0

Changelog

Optimizations for an average 7.5x speedup with little to no accuracy loss include:

• #1145
• #1146
• #1147