patch_tst / config.json
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patchtst
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{
"activation_function": "gelu",
"architectures": [
"PatchTSTForClassification"
],
"attention_dropout": 0.0,
"bias": true,
"channel_attention": false,
"channel_consistent_masking": false,
"context_length": 512,
"d_model": 128,
"distribution_output": "student_t",
"do_mask_input": null,
"dropout": 0.0,
"ff_dropout": 0.0,
"ffn_dim": 512,
"head_dropout": 0.0,
"init_std": 0.02,
"loss": "mse",
"mask_type": "random",
"mask_value": 0,
"model_type": "patchtst",
"norm_eps": 1e-05,
"norm_type": "batchnorm",
"num_attention_heads": 4,
"num_forecast_mask_patches": [
2
],
"num_hidden_layers": 3,
"num_input_channels": 3,
"num_parallel_samples": 100,
"num_targets": 4,
"output_range": null,
"patch_length": 16,
"patch_stride": 16,
"path_dropout": 0.0,
"pooling_type": "mean",
"positional_dropout": 0.0,
"positional_encoding_type": "sincos",
"pre_norm": true,
"prediction_length": 24,
"random_mask_ratio": 0.5,
"scaling": "std",
"share_embedding": true,
"share_projection": true,
"torch_dtype": "float32",
"transformers_version": "4.37.2",
"unmasked_channel_indices": null,
"use_cls_token": false
}