| { | |
| "activation_dropout": 0.1, | |
| "activation_function": "gelu", | |
| "architectures": [ | |
| "TimeSeriesTransformerForPrediction" | |
| ], | |
| "attention_dropout": 0.1, | |
| "cardinality": [ | |
| 25, | |
| 1, | |
| 1, | |
| 1, | |
| 1 | |
| ], | |
| "context_length": 36, | |
| "d_model": 128, | |
| "decoder_attention_heads": 8, | |
| "decoder_ffn_dim": 32, | |
| "decoder_layerdrop": 0.1, | |
| "decoder_layers": 4, | |
| "distribution_output": "student_t", | |
| "dropout": 0.1, | |
| "dtype": "float32", | |
| "embedding_dimension": [ | |
| 12, | |
| 0, | |
| 0, | |
| 0, | |
| 0 | |
| ], | |
| "encoder_attention_heads": 8, | |
| "encoder_ffn_dim": 32, | |
| "encoder_layerdrop": 0.1, | |
| "encoder_layers": 4, | |
| "feature_size": 16, | |
| "init_std": 0.02, | |
| "input_size": 1, | |
| "is_encoder_decoder": true, | |
| "lags_sequence": [ | |
| 1 | |
| ], | |
| "loss": "nll", | |
| "model_type": "time_series_transformer", | |
| "num_dynamic_real_features": 0, | |
| "num_parallel_samples": 100, | |
| "num_static_categorical_features": 5, | |
| "num_static_real_features": 0, | |
| "num_time_features": 1, | |
| "prediction_length": 6, | |
| "scaling": true, | |
| "transformers_version": "5.20.2", | |
| "use_cache": false | |
| } | |