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Project Description
# PyPythia
Python library for the Pythia platform.

## Usage

from pythia import Experiment

# init experiment

# implies that an instance of Pythia is listening on localhost
exp = Experiment('http://localhost:5667/api/v1/') = "some catchy name"
exp.description = "describe the experiment here"

# create a model
model = exp.create_model() = "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_accuracy = accuracy(classifier)

# save the measured training accuracy

## Examples
* [MNIST ConvNet in Tensorflow](
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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pypythia-0.0.3-py2-none-any.whl (5.0 kB) Copy SHA256 Checksum SHA256 2.7 Wheel Aug 28, 2016
pypythia-0.0.3.tar.gz (3.2 kB) Copy SHA256 Checksum SHA256 Source Aug 28, 2016

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