Utility for timing code via Python's "with" statement. Examples -------- >>> import time >>> with Timer("timing"): ... time.sl

Utility for timing code via Python's "with" statement. Examples -------- >>> import time >>> with Timer("timing"): ... time.sl

Utility for timing code via Python's "with" statement. Examples -------- >>> import time >>> with Timer("timing"): ... time.sl

Utility for timing code via Python's "with" statement. Examples -------- >>> import time >>> with Timer("timing"): ... time.sl

Instantiation as a map/dict. Better for partial instantiations. Updates in this class should be reflected in Inst

Instantiation as a map/dict. Better for partial instantiations. Updates in this class should be reflected in Inst

Instantiation as a map/dict. Better for partial instantiations. Updates in this class should be reflected in Inst

Instantiation as a map/dict. Better for partial instantiations. Updates in this class should be reflected in Inst

SDD Manager

SDD Manager

Initialize the PSDD weights with a pseudo-count that would be equivalent to observing a (prior) dataset over all SDD models, with an aggregate

SDD Manager

SDD Manager

Initialize the PSDD weights with a pseudo-count that would be equivalent to observing a (prior) dataset over all SDD models, with an aggregate

Initialize the PSDD weights with a pseudo-count that would be equivalent to observing a (prior) dataset over all SDD models, with an aggregate

Initialize the PSDD weights with a pseudo-count that would be equivalent to observing a (prior) dataset over all SDD models, with an aggregate

Probabilistic Sentential Decision Diagram (PSDD) See https://github.com/hahaXD/psdd for PSDD multiply.

Probabilistic Sentential Decision Diagram (PSDD) See https://github.com/hahaXD/psdd for PSDD multiply.

Probabilistic Sentential Decision Diagram (PSDD) See https://github.com/hahaXD/psdd for PSDD multiply.

Probabilistic Sentential Decision Diagram (PSDD) See https://github.com/hahaXD/psdd for PSDD multiply.

Vtrees (variable trees)

Computes and stores the average and current value

Dataset. Implements a Dict from object to count in dataset

Dataset. Implements a Dict from object to count in dataset

Dataset. Implements a Dict from object to count in dataset

Dataset. Implements a Dict from object to count in dataset

An immutable dict where elements can be accessed with a dot

Enumerator for SDD elements (prime/sub pairs)

Enumerator for SDD elements (prime/sub pairs)

Enumerator for SDD elements (prime/sub pairs)

Enumerator for SDD elements (prime/sub pairs)

Enumerator for SDD decomposition nodes

Enumerator for SDD decomposition nodes

Enumerator for SDD decomposition nodes

Enumerator for SDD decomposition nodes

Vtrees (variable trees)

Vtrees (variable trees)

Vtrees (variable trees)

C-HMCNN(h) model - during training it returns the not-constrained output that is then passed to MCLoss

C-HMCNN(h) model - during training it returns the not-constrained output that is then passed to MCLoss

Dirichlet prior for PSDDs

Dirichlet prior for PSDDs

Dirichlet prior for PSDDs

Dirichlet prior for PSDDs

Immutable instantiation. Used for datasets, more efficient than InstMap

Immutable instantiation. Used for datasets, more efficient than InstMap

Immutable instantiation. Used for datasets, more efficient than InstMap

Immutable instantiation. Used for datasets, more efficient than InstMap

Normalized Sentential Decision Diagram (SDD)

Normalized Sentential Decision Diagram (SDD)

Manager for k-best MPE enumeration.

Manager for k-best MPE enumeration.

Manager for k-best MPE enumeration.

Manager for k-best MPE enumeration.

Manager for lexical model enumeration. Caching only nodes (caching elements may not help much?)

Manager for lexical model enumeration. Caching only nodes (caching elements may not help much?)

Manager for lexical model enumeration. Caching only nodes (caching elements may not help much?)

Manager for lexical model enumeration. Caching only nodes (caching elements may not help much?)

Sub-Circuit's of PSDD models

Sub-Circuit's of PSDD models

Sub-Circuit's of PSDD models

Sub-Circuit's of PSDD models

InstMap with weights. This class was created for PSDD model enumeration (best-k MPE).

InstMap with weights. This class was created for PSDD model enumeration (best-k MPE).

InstMap with weights. This class was created for PSDD model enumeration (best-k MPE).

InstMap with weights. This class was created for PSDD model enumeration (best-k MPE).