Welcome to Sequifier’s documentation!¶
Contents:
- Preprocessing Config
- Training Config
- Inference Config
- Hyperparameter Search Config
- Non-standard Optimizers
- Internals
build_args_config()main()setup_parser()Preprocessorcast_columns_to_string()combine_maps()combine_multiprocessing_outputs()combine_parquet_files()create_file_paths_for_multiple_files1()create_file_paths_for_multiple_files2()create_file_paths_for_single_file()create_id_map()delete_files()extract_sequences()extract_subsequences()get_batch_limits()get_combined_statistics()get_group_bounds()get_subsequence_starts()insert_top_folder()load_precomputed_id_maps()preprocess()preprocess_batch()process_and_write_data_pt()TransformerEmbeddingModelTransformerModelcleanup()format_number()infer_with_embedding_model()infer_with_generative_model()load_inference_model()train()train_worker()Infererfill_number()get_embeddings()get_embeddings_pt()get_probs_preds_autoregression()get_probs_preds_from_df()get_probs_preds_from_dict()infer()infer_embedding()infer_generative()infer_worker()load_parquet_folder_dataset()load_pt_dataset()normalize()sample_with_cumsum()verify_variable_order()make()hyperparameter_search()objective()set_pdeathsig()configure_determinism()configure_logger()construct_index_maps()get_best_model_path()get_last_training_batch_timedelta()get_torch_dtype()normalize_path()numpy_to_pytorch()read_data()subset_to_input_columns()write_data()TrainModelDumperrepresent_dot_dict()represent_numpy_float()represent_numpy_int()represent_sequifier_object()SequifierDatasetFromFileget_optimizer_class()