Tabular Prediction ==================== For standard datasets that are represented as tables (stored as CSV file, parquet from database, etc.), AutoGluon can produce models to predict the values in one column based on the values in the other columns. With just a single call to `fit()`, you can achieve high accuracy in standard supervised learning tasks (both classification and regression), without dealing with cumbersome issues like data cleaning, feature engineering, hyperparameter optimization, model selection, etc. .. container:: cards .. card:: :title: Quick Start Using FIT :link: tabular-quickstart.html 5 min tutorial on fitting models with tabular datasets. .. card:: :title: In-depth FIT Tutorial :link: tabular-indepth.html In-depth tutorial on controlling various aspects of model fitting. .. card:: :title: Kaggle Tutorial :link: tabular-kaggle.html Using AutoGluon for Kaggle competitions with tabular data. .. card:: :title: Data Tables Containing Text :link: tabular-multimodal-text-others.html Modeling data tables with text and numeric/categorical features. .. card:: :title: Multi-Label Prediction :link: tabular-multilabel.html How to predict multiple columns in a data table. .. card:: :title: FAQ :link: tabular-faq.html Frequently asked questions about AutoGluon-Tabular. .. toctree:: :maxdepth: 1 :hidden: tabular-quickstart tabular-indepth tabular-kaggle tabular-multimodal-text-others tabular-multilabel tabular-faq