dimazest

cd phd-buildout/notebooks
time ../bin/corpora serafin plain-lsa --swda corpora/swda -v -j 2 --limit 10000 | less

dimazest

python3.3 -m venv .env
source .env/bin/activate

 python3 ez_setup.py
 python3.3 get-pip.py

.env/local/bin/pip install numpy
.env/local/bin/pip install numexpr

dimazest

Keybase proof

I hereby claim:

• I am dimazest on github.
• I am dimazest (https://keybase.io/dimazest) on keybase.
• I have a public key whose fingerprint is C846 779A CCA3 0C10 B929 D763 B293 7D50 8BF7 FC77

To claim this, I am signing this object:

dimazest

class Index(OrderedDict):
    """An indexer.

    For every unseen index, a unique ID id is assigned.

    """
    def __getitem__(self, key):
        """Assign an ingeger ID for a unseen item."""
        try:
            return super().__getitem__(key)

dimazest

#!/opt/local/bin/python2.7
"""My awesome script."""
import opster


@opster.command()
def hello():
    """A hello word implementation."""
    print 'Hello world!'

dimazest

    @view.parallel(block=False)
    def cosine_similarity(rows):
        from sklearn.metrics import pairwise

        print('hi!')

        return [len(rows)]

        @functools.lru_cache(maxsize=None)
        def compute_tensor_dot(word, other_word=None):

dimazest

[dimazest@mac tools]$ bin/fowler.corpora-py t.py
usage: t.py <command> [options]

commands:

 dat         Dialog act tagging
 help        Show help for a given help topic or a help overview.
 similarity  Word similarity
[dimazest@mac tools]$ bin/fowler.corpora-py t.py dat -h
usage: t.py dat <command> [options]

dimazest

Input data

I hope this doesn't make me sick..

First step: get all the 7 grams (3 words before, 3 words after)