View newton optimization.py
import numpy as np
import tensorflow as tf
# Newton's optimization method for multivariate function in tensorflow
def cons(x):
return tf.constant(x, dtype=tf.float32)
def compute_hessian(fn, vars):
mat = []
View mlp_theano.py
# MLP using theano
import numpy as np
import theano
import theano.tensor as T
from sklearn.datasets import load_iris
iris = load_iris()
train_x = iris.data
train_y = iris.target
nn_input_dim = train_x.shape[1]
View GDrive.py
from __future__ import print_function
import sys
import io
import pip
import httplib2
import os
from mimetypes import MimeTypes
View predict2.py
# PROBLEM LINK : https://www.hackerrank.com/challenges/temperature-predictions
import numpy as np
from sklearn import ensemble
def isfloat(value):
try:
float(value)
return True
View predict1.py
# Problem link : https://www.hackerrank.com/challenges/time-series-prediction
from sklearn import linear_model as lm
import sys
import pandas as pd
import numpy as np
import statsmodels.api as sm
View Assignment1.csv
1648 5136 918 2824 3867 860 3712 2968 3525 4323 3617 4360 2756 89 442 3556 5261 2492 5062 2486 4942 2267 4809 3853 2288
11: Star Wars: Episode IV - A New Hope (1977) 4.5 5 4.5 4 4 5 4 5 4 4 3 4 4.5 4 3.5
12: Finding Nemo (2003) 5 5 4 4 4.5 4.5 4 5 4 5 4.5 4 3.5 4 2 3.5 3.5
13: Forrest Gump (1994) 5 4.5 5 4.5 4.5 5 4.5 5 5 4.5 4.5 5 3 4 5 3.5 4.5 4.5 4 3.5 4.5 3.5 3.5
14: American Beauty (1999) 4 4.5 2 3.5 5 3.5 5 3.5 4 4 3.5 4.5 3.5 4 3.5
22: Pirates of the Caribbean: The Curse of the Black Pearl (2003) 4 5 3 4.5 4 2.5 5 3 4 4 4.5 4 1 3 1.5 4 4 2.5 3.5 5 3.5
24: Kill Bill: Vol. 1 (2003) 3 5 4 3 3 0.5 3.5 5 4 4 4 5 5 5 0.5 4 4 4.5 4 5 5 3
38: Eternal Sunshine of the Spotless Mind (2004) 5 5 0.5 4 5 3 5 3 4 3 5 1.5 5 5
63: Twelve Monkeys (a.k.a. 12 Monkeys) (1995) 3 4 2.5 3.5 2 2 4 4 3.5 4 5
77: Memento (2000) 5 5 4.5 3 4.5 3.5 3.5 4 4 4 5 4 4 4.5 5 4 4.5 5
View littlechecker.py
import os, filecmp
codes = {200:'success',404:'file not found',400:'error',408:'timeout'}
def compile(file,lang):
if lang == 'java':
class_file = file[:-4]+"class"
elif lang == 'c':
class_file = file[:-2]
elif lang=='cpp':
View ass.csv
baseball economics politics Europe Asia soccer war security shopping family num-attr User 1 User 2
doc1 1 0 1 0 1 1 0 0 0 1 5 1 -1
doc2 0 1 1 1 0 0 0 1 0 0 4 -1 1
doc3 0 0 0 1 1 1 0 0 0 0 3
doc4 0 0 1 1 0 0 1 1 0 0 4 1
doc5 0 1 0 0 0 0 0 0 1 1 3
doc6 1 0 0 1 0 0 0 0 0 0 2 1
doc7 0 0 0 0 0 0 0 1 0 1 2
doc8 0 0 1 1 0 0 1 0 0 1 4
doc9 0 0 0 0 0 1 0 0 1 0 2