diff --git a/.buildinfo b/.buildinfo index 6a3bf912..dc5b210e 100644 --- a/.buildinfo +++ b/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: eae5f821a6a1a15c65bb7d9d13ab6bbf +config: c9010c591cbe7dcee37916934400929a tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/.doctrees/environment.pickle b/.doctrees/environment.pickle index 3363a3dc..7d6ae951 100644 Binary files a/.doctrees/environment.pickle and b/.doctrees/environment.pickle differ diff --git a/.doctrees/python-api/generated/pyjuice.structures.PD.doctree b/.doctrees/python-api/generated/pyjuice.structures.PD.doctree index 998fc07a..0a96cf39 100644 Binary files a/.doctrees/python-api/generated/pyjuice.structures.PD.doctree and b/.doctrees/python-api/generated/pyjuice.structures.PD.doctree differ diff --git a/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip b/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip index 4affb25c..814cd1fe 100644 Binary files a/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip and b/_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip differ diff --git a/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip b/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip index 563b1b9b..0ad82a62 100644 Binary files a/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip and b/_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip differ diff --git a/python-api/generated/pyjuice.structures.PD.html b/python-api/generated/pyjuice.structures.PD.html index 4a6ff048..92344b9f 100644 --- a/python-api/generated/pyjuice.structures.PD.html +++ b/python-api/generated/pyjuice.structures.PD.html @@ -101,7 +101,7 @@

pyjuice.structures.PD

-pyjuice.structures.PD(data_shape: Tuple, num_latents: int, split_intervals: Optional[Union[int, Tuple[int]]] = None, split_points: Optional[Sequence[Sequence[int]]] = None, max_split_depth: Optional[int] = None, max_prod_block_conns: int = 4, structure_type: str = 'sum_dominated', input_layer_fn: Optional[Callable] = None, input_dists: Optional[Distribution] = None, input_layer_type: Type[Distribution] = <class 'pyjuice.nodes.distributions.categorical.Categorical'>, input_layer_params: Dict = {'num_cats': 256}, use_linear_mixing: bool = False, block_size: Optional[int] = None)
+pyjuice.structures.PD(data_shape: Tuple, num_latents: int, split_intervals: Optional[Union[int, Tuple[int]]] = None, split_points: Optional[Sequence[Sequence[int]]] = None, max_split_depth: Optional[int] = None, max_prod_block_conns: int = 4, structure_type: str = 'sum_dominated', input_layer_fn: Optional[Callable] = None, input_dist: Optional[Distribution] = None, input_layer_type: Type[Distribution] = <class 'pyjuice.nodes.distributions.categorical.Categorical'>, input_layer_params: Dict = {'num_cats': 256}, use_linear_mixing: bool = False, block_size: Optional[int] = None)

Generate PCs with the PD structure (https://arxiv.org/pdf/1202.3732.pdf).

Parameters: