| { | |
| "activation_dropout": 0.1, | |
| "activation_function": "gelu", | |
| "architectures": [ | |
| "InformerForPrediction" | |
| ], | |
| "attention_dropout": 0.1, | |
| "attention_type": "prob", | |
| "cardinality": [ | |
| 0 | |
| ], | |
| "context_length": 52, | |
| "d_model": 2552, | |
| "decoder_attention_heads": 2, | |
| "decoder_ffn_dim": 32, | |
| "decoder_layerdrop": 0.1, | |
| "decoder_layers": 4, | |
| "distil": true, | |
| "distribution_output": "student_t", | |
| "dropout": 0.1, | |
| "embedding_dimension": [ | |
| 0 | |
| ], | |
| "encoder_attention_heads": 2, | |
| "encoder_ffn_dim": 32, | |
| "encoder_layerdrop": 0.1, | |
| "encoder_layers": 6, | |
| "feature_size": 102, | |
| "init_std": 0.02, | |
| "input_size": 25, | |
| "is_encoder_decoder": true, | |
| "lags_sequence": [ | |
| 1, | |
| 168 | |
| ], | |
| "loss": "nll", | |
| "model_type": "informer", | |
| "num_dynamic_real_features": 0, | |
| "num_parallel_samples": 100, | |
| "num_static_categorical_features": 0, | |
| "num_static_real_features": 0, | |
| "num_time_features": 2, | |
| "prediction_length": 26, | |
| "sampling_factor": 5, | |
| "scaling": "mean", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.40.1", | |
| "use_cache": true | |
| } | |