honnibal

import sys


def shift(words, stack, c):
    return words, stack + c


def reduce(words, stack, c):
    return words + (stack,), c

honnibal

"""A stripped-down MLP example, using Theano.

Based on the tutorial here: http://deeplearning.net/tutorial/mlp.html

This example trims away some complexities, and makes it easier to see how Theano works.

Design changes:

* Model compiled in a distinct function, so that symbolic variables are not in run-time scope.
* No classes. Network shown by chained function calls.

honnibal

from __future__ import unicode_literals
from __future__ import print_function
import sys

import plac
import bz2
import ujson
import spacy.en

def main(input_loc):

honnibal

"""
Example use of the spaCy NLP tools for data exploration.

Here we will look for reddit comments that describe Google doing something,
i.e. discuss the company's actions. This is difficult, because other senses of
"Google" now dominate usage of the word in conversation, particularly references to
using Google products.

The heuristics here are quick and dirty --- about 5 minutes work. A better approach
is to use the word vector of the verb. But, the demo here is just to show what's

honnibal

from preshed.counter import PreshCounter
from spacy.en import English

from spacy.attrs import ORTH, IS_OOV

import plac

import plac
from os import path
import os

honnibal

from __future__ import unicode_literals
from __future__ import print_function

import plac

import spacy.en


def main(vectors_loc=None):
    nlp = spacy.en.English()

honnibal

# cython: infer_types=True
# cython: boundscheck=False
# cython: cdvision=True
# distutils: compile_options = ["-O2", "-fopenmp", "-march=native"]
# distutils: link_options = ["-fopenmp"]
cimport cython
from numpy import random as rng
import numpy as np
import numpy.random

honnibal

# Simple sentiment analysis with lots and lots of problems. For answer to Quora thread:
# https://www.quora.com/Would-it-be-possible-for-an-undergraduate-like-me-to-create-a-sentiment-analysis-program
import sys
from collections import counter


with open(sys.argv[1]) as file_:
    positive_text = file_.read()
with open(sys.argv[2]) as file_:
    negative_text = file_.read()

honnibal

http://s000.tinyupload.com/index.php?file_id=07575878755298799648

honnibal

#!/usr/bin/env bash

HERE=`pwd`
cd /tmp
wget http://www.python.org/ftp/python/2.7.5/Python-2.7.5.tgz /tmp
tar -zxvf Python-2.7.5.tgz
cd Python-2.7.5
mkdir $HERE/.python
./configure --prefix=$HERE/.python