pillyshi

import training
from gensim.models import Word2Vec
import numpy as np
from sklearn.linear_model import LogisticRegressionCV
np.random.seed(0)

model = Word2Vec.load("/path/to/your/w2v_model")

data = []
X = []

pillyshi

import argparse
import re


def get_args():
    parser = argparse.ArgumentParser()
    parser.add_argument('--in-path', type=str)
    return parser.parse_args()

pillyshi

(package-initialize)
(setq package-archives
      '(("gnu" . "http://elpa.gnu.org/packages/")
        ("melpa" . "http://melpa.org/packages/")
        ("org" . "http://orgmode.org/elpa/")))

;; elpy
(elpy-enable)
(require 'virtualenvwrapper)
(require 'auto-virtualenvwrapper)