Python library for the Pythia platform.
- You can fetch the
pypythiamodule via pip:: - pip install pypythia
- Simple example::
from pypythia import Experiment
# init experiment
# implies that an instance of Pythia is listening on localhost exp = Experiment('http://localhost:5667/api/v1/')
exp.name = "some catchy name" exp.description = "describe the experiment here"
# create a model model = exp.create_model() model.name = "2 layers foo bar dropout softmax"
- for i in range(NUM_EPOCHS):
- for j in range(NUM_EXAMPLES):
# the following two lines are not really valid train_classifier() train_accuracy = accuracy(classifier)
# save the measured training accuracy model.add_measurement(name='train_accuracy',
value=train_accuracy, step=j, epoch=i)
- MNIST ConvNet in Tensorflow: <https://github.com/ChristianSch/PyPythia/blob/master/examples/Tensorflow%20MNIST.ipynb)