Handles all aspects of the data. Stores the dataset_params, vocabulary and tags with their mappings to indices.

Class that loads hyperparameters from a json file. Example: ``` params = Params(json_path) print(params.learning_rate) params.lea

Class that loads hyperparameters from a json file. Example: ``` params = Params(json_path) print(params.learning_rate) params.lea

A standard PyTorch definition of Dataset which defines the functions __len__ and __getitem__.

This is the standard way to define your own network in PyTorch. You typically choose the components (e.g. LSTMs, linear layers etc.) of your

This is the standard way to define your own network in PyTorch. You typically choose the components (e.g. LSTMs, linear layers etc.) of your

Class that loads hyperparameters from a json file. Example: ``` params = Params(json_path) print(params.learning_rate) params.lea

Class that loads hyperparameters from a json file. Example: ``` params = Params(json_path) print(params.learning_rate) params.lea

A simple class that maintains the running average of a quantity Example: ``` loss_avg = RunningAverage() loss_avg.update(2) l

A simple class that maintains the running average of a quantity Example: ``` loss_avg = RunningAverage() loss_avg.update(2) loss_