nissan

Graphite.dev

• Site: https://graphite.dev
• Docs: https://docs.graphite.dev/

Why?

• Stacked PRs allow you to easily work like so:
  • Work on branch ACQ-000-part-A (which is based on master)
  • Work on branch ACQ-000-part-B (which is based on part-A)

nissan

nissan

# Note: ensure you have the latest version of Torchtext by running: pip install torchtext --upgrade

rnn_model = text_data.get_model(opt_fn, 1500, bptt, emb_sz=em_sz, n_hid=nh, n_layers=nl, 
           dropout=0.1, dropouti=0.65, wdrop=0.5, dropoute=0.1, dropouth=0.3)

# ...

rnn_model.data.test_dl.src.sort = False
rnn_model.data.test_dl.src.sort_within_batch = False
rnn_model.data.test_dl.src.shuffle = False

nissan

from torchtext import data

class DataFrameDataset(data.Dataset):

    def __init__(self, df, text_field, label_field, is_test=False, **kwargs):
        fields = [('text', text_field), ('label', label_field)]
        examples = []
        for i, row in df.iterrows():
            label = row.sentiment if not is_test else None
            text = row.text