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pypythia's Introduction

PyPythia Build Status

Python library for the Pythia platform. Supports Python 2.7, 3.5 and 3.6.

Installation

You can fetch the pypythia module via pip::

pip install pypythia

Usage

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)

Examples

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pypythia's Issues

api version check not verbose enough

when creating a new experiment with a wrong URI you get ominous error messages like AssertionError: or JSONDecodeError: Expecting value: line 1 column 1 (char 0). I should fix that.

Models don't sync their updated attributes with the remote 

gbModel = exp.create_model()
gbModel.name = "Gradient Boosting Classifier"

rfModel = exp.create_model()
rfModel.name = "Random Forest Classifier"

Though http://localhost:5667/api/v1/experiment/573451f422dd9841aaec7ee3 yields:

{
   "_id":"573451f422dd9841aaec7ee3",
   "name":"Basic Test Example",
   "description":"Comparing Ensemble Decision Tree Classifiers",
   "__v":6,
   "models":[
      {
         "name":"bow naïve bayes",
         "description":"some description",
         "hyperparameter":"distribution: gaußian, n-grams: 2-grams, stopwords: removed",
         "_id":"573451f422dd9841aaec7ee5",
         "metrics":[

         ],
         "measurements":[

         ],
         "date_added":"2016-05-12T09:50:44.192Z"
      },
      {
         "name":"young-river-3753",
         "_id":"573a17bf0309e87e1163bc8a",
         "measurements":[

         ],
         "date_added":"2016-05-16T18:55:59.844Z"
      },
      {
         "name":"bitter-wood-0904",
         "_id":"573a17e20309e87e1163bc8b",
         "measurements":[

         ],
         "date_added":"2016-05-16T18:56:34.634Z"
      },
      {
         "name":"lucky-breeze-0981",
         "_id":"573a17e20309e87e1163bc8c",
         "measurements":[

         ],
         "date_added":"2016-05-16T18:56:34.728Z"
      },
      {
         "name":"bold-dew-6426",
         "_id":"573a17fc0309e87e1163bc8d",
         "measurements":[

         ],
         "date_added":"2016-05-16T18:57:00.730Z"
      },
      {
         "name":"rough-dream-4113",
         "_id":"573a17fc0309e87e1163bc8e",
         "measurements":[

         ],
         "date_added":"2016-05-16T18:57:00.768Z"
      }
   ],
   "date_added":"2016-05-12T09:50:44.092Z"
}

'Model' object has no attribute '_hyperparameters' 

>>> model.description
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "pythia/model.py", line 17, in hyperparameters
    return self._hyperparameters
AttributeError: 'Model' object has no attribute '_hyperparameters'

invalid `_id` returns object with invalid state

one can create experiments with invalid ids which in return result in an object being returned which fails later, but not on creation:

>>> exp2 = Experiment('http://localhost:5667/api/v1', '57890cefb6bb2bd287cc4f73 ')
>>> print exp2
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "pythia/experiment.py", line 42, in __str__
    return self._name
AttributeError: 'Experiment' object has no attribute '_name'

we need to catch these errors on creation, and not afterwards.

hyperparameter attribute not setable 

>>> m.hyperparameter = "trees: 100"
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: can't set attribute

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