BT4221 Assignment 4 Question 1 - Pima Indians Dataset

question1.py

#### Create first network with Keras
from keras.models import Model
from keras.layers import Input, Dense
from keras.callbacks import ModelCheckpoint, EarlyStopping
import numpy as np

batch_size = 10
epochs = 10
validation_split = 0.1

# Load Pima Indians Dataset
data = np.loadtxt("pima-indians-diabetes.csv", delimiter=',', skiprows=1)
#data = np.loadtxt("data.csv", delimiter=',', skiprows=1)
X = data[:,0:8]
Y = data[:,8]

# Create Model
input_layer = Input(shape=(8,)) #input layer
layer = Dense(10, activation='tanh')(input_layer) #hidden layer
output_layer = Dense(1, activation = 'sigmoid')(layer) #output layer
model = Model(inputs=input_layer, outputs= output_layer)

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

# Fit the Model
model.fit(x=X, y=Y,
          batch_size=batch_size,
          epochs=epochs,
          validation_split=0.33)

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


#for fun
from keras.utils import plot_model
plot_model(model, to_file='model.png')