Notebook Code imports

notebook_imports.py

__author__='satish'
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import plotly as ply
from sklearn.feature_extraction.text import CountVectorizer,HashingVectorizer
from sklearn.cross_validation import train_test_split
from sklearn.naive_bayes import BernoulliNB
from sklearn.naive_bayes import MultinomialNB,GaussianNB
from sklearn.linear_model import LogisticRegression,RidgeClassifier,Perceptron,PassiveAggressiveClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.neighbors import NearestCentroid
from sklearn.utils.extmath import density
from sklearn import cross_validation
from sklearn.metrics import confusion_matrix
from sklearn.metrics import classification_report
from sklearn.cross_validation import cross_val_score
from sklearn import clone
from sklearn.datasets import load_iris
from sklearn.linear_model import SGDClassifier
from sklearn.feature_extraction.text import TfidfTransformer,TfidfVectorizer
from sklearn.ensemble import (RandomForestClassifier, ExtraTreesClassifier,
                              AdaBoostClassifier)
from sklearn.externals.six.moves import xrange
from sklearn.tree import DecisionTreeClassifier
from sklearn.feature_selection import SelectKBest, chi2
from sklearn.pipeline import Pipeline
from sklearn.svm import SVC,LinearSVC
from sklearn.decomposition import PCA
from sklearn.grid_search import GridSearchCV
from sklearn.cross_validation import KFold
from sklearn.metrics import confusion_matrix, f1_score,accuracy_score
from time import time