> ## Documentation Index
> Fetch the complete documentation index at: https://kumo.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Model Planner Options

> Fine-grained control over encoders, training strategy, and the AutoML search space.

## Column Processing

* [encoder\_overrides](/reference/column_processing#encoder_overrides)

## Model Architecture

* [activation](/reference/activation)

* [aggregation](/reference/gnn_aggregation)

* [channels](/reference/gnn_channels)

* [handle\_new\_target\_entities](/reference/handle_new_target_entities)

* [module](/reference/module)

* [normalization](/reference/normalization)

* [num\_post\_message\_passing\_layers](/reference/num_post_message_passing_layers)

* [num\_pre\_message\_passing\_layers](/reference/num_pre_message_passing_layers)

* [ranking\_embedding\_loss\_coeff](/reference/ranking_embedding_loss_coeff)

* [output\_embedding\_dim](/reference/output_embedding_dim)

* [target\_embedding\_mode](/reference/target_embedding_mode)

* [use\_seq\_id](/reference/use_seq_id)

* [distance\_measure](/reference/distance_measure)

## Neighbor Sampling

* [max\_target\_neighbors\_per\_entity](/reference/num_neighbors)

* [num\_neighbors](/reference/num_neighbors)

## Optimization

* [base\_lr](/reference/base_lr)

* [batch\_size](/reference/batch_size)

* [early\_stopping](/reference/early_stopping)

* [lr\_scheduler](/reference/lr_scheduler)

* [loss](/reference/loss)

* [majority\_sampling\_ratio](/reference/majority_sampling_ratio)

* [max\_epochs](/reference/max_epochs)

* [max\_steps\_per\_epoch](/reference/max_steps_per_epoch)

* [max\_test\_steps](/reference/max_test_steps)

* [max\_val\_steps](/reference/max_val_steps)

* [weight\_decay](/reference/weight_decay)

* [weight\_mode](/reference/weight_mode)

## Training Job Plan

* [refit\_full](/reference/refit_full)

* [refit\_trainval](/reference/refit_trainval)

* [run\_mode](/run-mode)

* [metrics](/reference/metrics)

* [num\_experiments](/reference/num_experiments)

* [tune\_metric](/reference/tune_metric)

## Training Table Generation

* [entity\_candidate\_aggregation](/reference/entity_candidate_aggregation-1)

* [forecast\_length](/reference/forecast_length)

* [forecast\_type](/reference/forecast_type)

* [lag\_timesteps](/reference/lag_timesteps)

* [year\_over\_year](/reference/year_over_year)

* [weight\_col](/reference/weight_col)

* [split](/reference/split)

* [timeframe\_step](/reference/timeframe_step)

* [train\_end\_offset](/reference/train_end_offset)

* [train\_start\_offset](/reference/train_start_offset)