spicyramen

# MLP for Pima Indians Dataset with 10-fold cross validation
from keras.models import Sequential
from keras.layers import Dense
from sklearn.model_selection import StratifiedKFold
import numpy

# fix random seed for reproducibility
seed = 7
numpy.random.seed(seed)
# load pima indians dataset

spicyramen

# MLP with manual validation set
from keras.models import Sequential
from keras.layers import Dense
from sklearn.model_selection import train_test_split
import numpy as np

# fix random seed for reproducibility
seed = 7
np.random.seed(seed)
# load pima indians dataset

spicyramen

# MLP with manual validation set
from keras.models import Sequential
from keras.layers import Dense
from sklearn.model_selection import train_test_split
import numpy as np

# fix random seed for reproducibility
seed = 7
np.random.seed(seed)
# load pima indians dataset

spicyramen

# Create your first MLP in Keras
from keras.models import Sequential
from keras.layers import Dense
import numpy

FILENAME = '../data/pima-indians-diabetes.csv'

# Fix random seed for reproducibility.
seed = 7
numpy.random.seed(seed)

spicyramen

scores = model.evaluate(X, Y)
print("%s: %.2f%%" % (model.metrics_names[1], scores[1]*100))

spicyramen

model.fit(X, Y, nb_epoch=150, batch_size=10)

spicyramen

model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])

spicyramen

model = Sequential()
model.add(Dense(12, input_dim=8, init='uniform', activation='relu'))
model.add(Dense(8, init='uniform', activation='relu'))
model.add(Dense(1, init='uniform', activation='sigmoid'))

spicyramen

from keras.models import Sequential
from keras.layers import Dense
import numpy

seed = 7
numpy.random.seed(seed)

# Cargar el dataset de los indios Pima.
dataset = numpy.loadtxt("pima-indians-diabetes.csv", delimiter=",")

spicyramen

"""Extract important information from AppAnnie via API."""

import pandas as pd

from absl import app
from absl import flags
from absl import logging
from bs4 import BeautifulSoup as BS
from collections import namedtuple
from retrying import retry