0.7.4

Hello, AutoML folk! We’re releasing a minor version of FEDOT that includes the following.

PyPi release: https://pypi.org/project/fedot/0.7.4/

Features & Enhancements:

• Boosting method implementation (XGBoost) by @RomanKharkovskoy in #1209
• Boosting method implementation (LightGBM) by @RomanKharkovskoy in #1264

Bugfixes:

• Sktime fix by @nicl-nno in #1323

What's Changed

• fix: NaNs containing forecast on some ets configs by @Lopa10ko in #1292
• fix: NaNs containing data on fit stage for fast_ica by @Lopa10ko in #1295
• fix: go for forecast method instead of predict in ets by @Lopa10ko in #1299
• fix: indexing and seasonal_periods check that endog is at least twice the size by @Lopa10ko in #1305
• Fix multitarget stratification by @DRMPN in #1308
• Update unit-build.yml by @technocreep in #1294
• Hotfix of fit time estimation for initial assumption by @nicl-nno in #1309
• Fix for #1296 by @aPovidlo in #1312
• hotfix: go for FeaturesType instead of InputData in a pipeline tuning by @Lopa10ko in #1311
• Boosting method implementation (XGBoost) by @RomanKharkovskoy in #1209
• fix: bring back cgru integration tests by @Lopa10ko in #1313
• Boosting method implementation (LightGBM) by @RomanKharkovskoy in #1264
• hotfix: Bug with target encoding by @aPovidlo in #1314
• hotfix: boostings related failure of test_*_models_check_fit_predict_correct by @Lopa10ko in #1316
• hotfix: add punkt_tab to nltk LookupError check by @Lopa10ko in #1319
• hotfix: pin nltk version to avoid downloading punkt_tab by @Lopa10ko in #1321
• Sktime fix by @nicl-nno in #1323
• m4 timeseries benchmark by @Lopa10ko in #1277
• fix: do not launch composition for atomized model by @DRMPN in #1324

Full Changelog: v0.7.3.2...v0.7.4