ultimate 1.21.5

ultimate

ultimate

A very simpe neural network implemention for python

Installation

pip install ultimate

Why Ultimate?

• Super tiny and super easy
• Support feature importance
• Support missing values
• Support am2/a2m2/am2l/a2m2l activation functions
• Support hardmse/hardmax loss functions

How To Use?

# let's use a simple example to learn how to use
from ultimate.mlp import MLP
import numpy as np

# generate sample
X = np.linspace(-np.pi, np.pi, num=5000).reshape(-1, 1)
Y = np.sin(X)
print(X.shape, Y.shape)

# train and predict
mlp = MLP(layer_size=[X.shape[1], 8, 8, 8, 1], loss_type="mse")
mlp.train(X, Y, epoch_train=100, epoch_decay=10, verbose=1)
pred = mlp.predict(X)

# show the result
import matplotlib.pyplot as plt  
plt.plot(X, pred)
plt.show()

Examples

• Feature Importance
• Image Regression
• Iris Classification
• MNIST Recognition