Metadata-Version: 2.1
Name: pytorch-partial-crf
Version: 0.0.3
Summary: "Partial/Fuzzy Conditional random field in PyTorch."
Home-page: https://github.com/kajyuuen/pytorch-partial-crf
Author: Koga Kobayashi
Author-email: kajyuuen@gmail.com
License: UNKNOWN
Description: # pytorch-partial-crf
        
        Partial/Fuzzy conditional random field in PyTorch.
        
        ## How to use
        
        ### Install
        
        ```
        pip install pytorch-partial-crf
        ```
        
        ### Use partial CRF
        
        ```
        import torch
        from pytorch_partial_crf import PartialCRF
        
        # Create 
        num_tags = 6
        model = PartialCRF(num_tags)
        
        batch_size, sequence_length = 3, 5
        emissions = torch.randn(batch_size, sequence_length, num_tags)
        
        # Set unknown tag to -1
        tags = torch.LongTensor([
            [1, 2, 3, 3, 5],
            [-1, 3, 3, 2, -1],
            [-1, 0, -1, -1, 4],
        ])
        
        # Computing log likelihood
        model(emissions, tags)
        ```
        
        ## License
        
        MIT
        
        ### References
        
        The implementation is based on AllenNLP CRF module and pytorch-crf.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
