Fuel

Basics

Fuel is a library for creating machine learning data pipelines. There are multiple features that make it really convenient.

Find fuel on Github here: https://github.com/mila-udem/fuel

Prerequisites

Fuel uses HDF5, so you will need a copy of HDF5 header files installed locally. Use your package manager, or follow HDF5 installation instructions. On a Mac:

$ brew install hdf5

Now you can install Fuel.

Install

$ git clone git@github.com:/mila-udem/fuel.git
$ cd fuel
$ python setup.py build && python setup.py install

Wrapping Custom Datasets with Fuel

Repo by github user dribnet illustrates how to wrap a new dataset using Fuel: https://github.com/dribnet/lfw_fuel

from keras.models import Sequential
from lfw_fuel import lfw

# the data, shuffled and split between train and test sets
(X_train, y_train), (X_test, y_test) = lfw.load_data(format="deepfunneled")

# (build the perfect model here)

model.fit(X_train, Y_train, show_accuracy=True, validation_data=(X_test, Y_test))
score = model.evaluate(X_test, Y_test, show_accuracy=True, verbose=0)