.. _auto_solverai_train: *DEEP LEARNING SOLVER* ====================== Trains a deep learning model using the SOLVERAI engine on a supplied tabular dataset. Specify independent (input) and dependent (target) columns to define the supervised learning task; the worker outputs a serialised model checkpoint for downstream inference or deployment. When to use ----------- Tagged: ``checkpoint``, ``deep_learning``, ``neural_network``, ``simulation``, ``solverai``, ``supervised``, ``tabular``, ``training``. Inputs ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - Label - ID - Type - Default - Required - Description * - Input - input - dataset - — - ✓ - Tabular training dataset (any format resolvable by the platform); must contain both the feature columns and target columns as named headers. * - Input Columns - input_cols - scalar - — - - Comma-separated list of column names to use as independent (feature) variables; leave blank to let SOLVERAI infer them automatically from the dataset. * - Target Columns - target_cols - scalar - — - - Comma-separated list of column names to use as dependent (target/label) variables; leave blank to let SOLVERAI infer them automatically from the dataset. Outputs ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - Label - ID - Type - Description * - Checkpoint - checkpoint - text - Serialised model checkpoint path/reference (text) produced after training completes; pass this to a SOLVERAI inference worker to generate predictions on new data. Disciplines ----------- - ai_ml.supervised.classification - ai_ml.supervised.regression - ai_ml.surrogate .. raw:: html

Auto-generated from platform schema. Worker id: solverai_train. Schema hash: daf81092cee3. Hand-curated docs in workerexamples/ override this page when present.