Produce N identical layers.

Generate batches of training data for training (for single epoch) Inputs: train_df (pd.DataFrame) : complete training data ba

Generate batches of training data for training (for single epoch) Inputs: train_df (pd.DataFrame) : complete training data ba

Encode a sequence of words into corresponding vector representation Input: text (string) : text (space separated words, etc..)

Encode a sequence of words into corresponding vector representation Input: text (string) : text (space separated words, etc..)

Load the data into Pandas.DataFrame object This will be used to convert data to torchtext object

Load the data into Pandas.DataFrame object This will be used to convert data to torchtext object

Load the data into Pandas.DataFrame object This will be used to convert data to torchtext object

Load the data into Pandas.DataFrame object This will be used to convert data to torchtext object

Load the data into Pandas.DataFrame object This will be used to convert data to torchtext object

Load the data into Pandas.DataFrame object This will be used to convert data to torchtext object

Load the data into Pandas.DataFrame object This will be used to convert data to torchtext object

Add a word to the vocabulary Inputs: word (string) : Word to be added to vocabulary

Add a word to the vocabulary Inputs: word (string) : Word to be added to vocabulary

Loads the data from file Inputs: filename (String): absolute path to the datafile Returns: X (list[string]): list of contents

Loads the data from file Inputs: filename (String): absolute path to the datafile Returns: X (list[string]): list of contents

Apply Attention on RNN output Input: rnn_output (batch_size, seq_len, num_directions * hidden_size): tensor repr

Implementation of Scaled dot product attention

Construct the vocabulary Inputs: words (list[string]) : List of words defining the vocabulary

Construct the vocabulary Inputs: words (list[string]) : List of words defining the vocabulary

Load the data into Pandas.DataFrame object This will be used to convert data to torchtext object

For each word in our vocabulary, get the word2vec encoding of the word Inputs: w2vfile (string) : Path to the file containing (pre-tr

For each word in our vocabulary, get the word2vec encoding of the word Inputs: w2vfile (string) : Path to the file containing (pre-tr

Loads the data from files Sets up iterators for training, validation and test data Also create vocabulary and word embeddings

Loads the data from files Sets up iterators for training, validation and test data Also create vocabulary and word embeddings

Loads the data from files Sets up iterators for training, validation and test data Also create vocabulary and word embeddings

Loads the data from files Sets up iterators for training, validation and test data Also create vocabulary and word embeddings

Loads the data from files Sets up iterators for training, validation and test data Also create vocabulary and word embeddings

Loads the data from files Sets up iterators for training, validation and test data Also create vocabulary and word embeddings

Loads the data from files Sets up iterators for training, validation and test data Also create vocabulary and word embeddings

Get the actual labels from label string Input: label (string) : labels of the form '__label__2' Returns: label (int) : in

Get the actual labels from label string Input: label (string) : labels of the form '__label__2' Returns: label (int) : in

Get the actual labels from label string Input: label (string) : labels of the form '__label__2' Returns: label (int) : in

Get the actual labels from label string Input: label (string) : labels of the form '__label__2' Returns:

Get the actual labels from label string Input: label (string) : labels of the form '__label__2' Returns:

Get the actual labels from label string Input: label (string) : labels of the form '__label__2' Returns:

Get the actual labels from label string Input: label (string) : labels of the form '__label__2' Returns:

Get the actual labels from label string Input: label (string) : labels of the form '__label__2' Returns:

Get the actual labels from label string Input: label (string) : labels of the form '__label__2' Returns:

Get the actual labels from label string Input: label (string) : labels of the form '__label__2' Returns: