import numpy as np
import pandas as pd
import os
import pickle
import re
import csv
from matplotlib import pyplot as plt
from datetime import date, timedelta, datetime
import time
import random
# hyperdash
from hyperdash import monitor_cell
# tqdm
from tqdm import tqdm_notebook as tqdm
# Scaling Methods / Normalization
from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import StandardScaler
# Splitting into train test
from sklearn.model_selection import train_test_split
# Confusion Matrix and Metrics
from sklearn.metrics import confusion_matrix
from sklearn.metrics import make_scorer
from sklearn.metrics import roc_auc_score
from sklearn.metrics import accuracy_score
from sklearn.metrics import roc_curve
from sklearn.metrics import precision_recall_curve
from sklearn.metrics import auc
from sklearn.metrics import recall_score
from sklearn.metrics import accuracy_score
from sklearn.metrics import precision_score
# Classifiers
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import AdaBoostClassifier
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.ensemble import VotingClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.neighbors import KNeighborsClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.neural_network import MLPClassifier
from sklearn.svm import SVC
# Cross Validation
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import learning_curve
from sklearn.model_selection import StratifiedShuffleSplit
from scipy.sparse import dok_matrix
from scipy.sparse import csr_matrix
import keras
import keras.backend as K
from keras import Input, Model
from keras.callbacks import EarlyStopping, ModelCheckpoint, Callback
from keras.optimizers import Adam, SGD
# Importing NN Architecture model
from keras.models import Sequential
# Importing different sorts of layers
from keras.layers import Dense
from keras.layers import Activation
from keras.layers import Dropout
from keras.layers import Conv2D
from keras.layers import Flatten
from keras.layers import Lambda
from keras.layers import RepeatVector
from keras.layers import Reshape
from keras.layers import ZeroPadding2D
from keras.layers import UpSampling2D
from keras.layers import Cropping2D
from keras.layers import MaxPooling2D
from keras.layers import GlobalMaxPooling2D
# Importing regularization functions
from keras import regularizers
# Importing constraints
from keras import constraints
from keras.models import model_from_json
from plotly.offline import download_plotlyjs, init_notebook_mode, iplot
init_notebook_mode(connected=True)
import plotly.graph_objs as go
import plotly.plotly as py