Zj dSrSSKJr SSKJr SSKJr \"SS9\"SS \555rS /rg ) zTimesFM model configuration)strict)PreTrainedConfig)auto_docstringzgoogle/timesfm-2.0-500m-pytorch) checkpointc>\rSrSr%SrSr/rSrSr\ \ S'Sr \ \ S'S r \ \ S 'S r \ \ S 'S r\ \ S'Sr\ \ S'Sr\ \ S'Sr\ \ S'Sr\ \ S'Sr\\ S'Sr\\ S'Sr\\\\S4-\ S'Sr\\ S'Sr\\ -\ S'Sr\\ S 'S!r\\ S"'S#r\ \ S$'S%r\ \ S&'S'r g()) TimesFmConfiga patch_length (`int`, *optional*, defaults to 32): The length of one patch in the input sequence. context_length (`int`, *optional*, defaults to 512): The length of the input context. horizon_length (`int`, *optional*, defaults to 128): The length of the prediction horizon. freq_size (`int`, *optional*, defaults to 3): The number of frequency embeddings. tolerance (`float`, *optional*, defaults to 1e-06): The tolerance for the quantile loss. quantiles (`list[float]`, *optional*, defaults to `[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]`): The quantiles to predict. pad_val (`float`, *optional*, defaults to 1123581321.0): The value used to pad the predictions. attention_dropout (`float`, *optional*, defaults to 0.0): The dropout probability for the attention scores. use_positional_embedding (`bool`, *optional*, defaults to `False`): Whether to add positional embeddings. min_timescale (`int`, *optional*, defaults to 1): The start of the geometric positional index. Determines the periodicity of the added signal. max_timescale (`int`, *optional*, defaults to 10000): The end of the geometric positional index. Determines the frequency of the added signal. timesfmF patch_lengthicontext_lengthhorizon_lengthr freq_size2num_hidden_layersi hidden_sizeintermediate_sizePhead_dimnum_attention_headsgư> tolerance rms_norm_eps) g?g?g333333?g?g?g333333?gffffff?g?g?. quantilesg@bApad_valgattention_dropoutuse_positional_embeddingg{Gz?initializer_range min_timescalei' max_timescaleN)!__name__ __module__ __qualname____firstlineno____doc__ model_typekeys_to_ignore_at_inferenceis_encoder_decoderr int__annotations__rrrrrrrrrfloatrrlisttuplerrrboolr r"r#__static_attributes__r$ڂ/root/GenerationalWealth/GenerationalWealth/venv/lib/python3.13/site-packages/transformers/models/timesfm/configuration_timesfm.pyr r s6J"$L#NCNCIssK!s!Hc!!IuL%1^ItE{U5#:..^!GU!%(us{(%*d*#u#M3M3r4r N) r)huggingface_hub.dataclassesrconfiguration_utilsrutilsrr __all__r$r4r5r:sH".3#<=1 $1 >1 h  r4