| { |
| "activation_dropout": 0.1, |
| "activation_function": "gelu", |
| "architectures": [ |
| "AutoformerForPrediction" |
| ], |
| "attention_dropout": 0.1, |
| "autocorrelation_factor": 3, |
| "cardinality": [ |
| 366 |
| ], |
| "context_length": 24, |
| "d_model": 64, |
| "decoder_attention_heads": 4, |
| "decoder_ffn_dim": 32, |
| "decoder_layerdrop": 0.1, |
| "decoder_layers": 4, |
| "distribution_output": "student_t", |
| "dropout": 0.1, |
| "embedding_dimension": [ |
| 2 |
| ], |
| "encoder_attention_heads": 4, |
| "encoder_ffn_dim": 32, |
| "encoder_layerdrop": 0.1, |
| "encoder_layers": 4, |
| "feature_size": 22, |
| "init_std": 0.02, |
| "input_size": 1, |
| "label_length": 10, |
| "lags_sequence": [ |
| 1, |
| 2, |
| 3, |
| 4, |
| 5, |
| 6, |
| 7, |
| 11, |
| 12, |
| 13, |
| 23, |
| 24, |
| 25, |
| 35, |
| 36, |
| 37 |
| ], |
| "loss": "nll", |
| "model_type": "autoformer", |
| "moving_average": 25, |
| "num_dynamic_real_features": 0, |
| "num_parallel_samples": 100, |
| "num_static_categorical_features": 1, |
| "num_static_real_features": 0, |
| "num_time_features": 2, |
| "prediction_length": 24, |
| "scaling": "mean", |
| "torch_dtype": "float32", |
| "transformers_version": "4.29.0.dev0", |
| "use_cache": true |
| } |
|
|
