traceback

matching_traceback.txt

INFO:dedupe.api:reading training from file
^CTraceback (most recent call last):
  File "run_queue.py", line 2, in <module>
    queue_daemon()
  File "/home/eric/code/dedupe-api/api/queue.py", line 144, in queue_daemon
    processMessage()
  File "/home/eric/code/dedupe-api/api/queue.py", line 88, in processMessage
    upd_args['return_value'] = func(*args, **kwargs)
  File "/home/eric/code/dedupe-api/api/tasks/review_tasks.py", line 35, in bulkMarkClusters
    initializeMatching(session_id)
  File "/home/eric/code/dedupe-api/api/tasks/review_tasks.py", line 50, in initializeMatching
    matching.initialize()
  File "/home/eric/code/dedupe-api/api/cogs/matching.py", line 123, in initialize
    self.trainGazetteer()
  File "/home/eric/code/dedupe-api/api/cogs/matching.py", line 252, in trainGazetteer
    deduper.readTraining(training)
  File "/home/eric/code/dedupe/dedupe/api.py", line 643, in readTraining
    self._trainClassifier()
  File "/home/eric/code/dedupe/dedupe/api.py", line 683, in _trainClassifier
    self.classifier.fit(examples, labels)
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/sklearn/pipeline.py", line 165, in fit
    self.steps[-1][-1].fit(Xt, y, **fit_params)
  File "/home/eric/code/dedupe-api/api/cogs/dedupers.py", line 31, in fit
    super(DataDependentLogisticRegressionCV, self).fit(X, y, sample_weight)
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/sklearn/linear_model/logistic.py", line 1583, in fit
    for label in iter_labels
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/sklearn/externals/joblib/parallel.py", line 804, in __call__
    while self.dispatch_one_batch(iterator):
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/sklearn/externals/joblib/parallel.py", line 662, in dispatch_one_batch
    self._dispatch(tasks)
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/sklearn/externals/joblib/parallel.py", line 570, in _dispatch
    job = ImmediateComputeBatch(batch)
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/sklearn/externals/joblib/parallel.py", line 183, in __init__
    self.results = batch()
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/sklearn/externals/joblib/parallel.py", line 72, in __call__
    return [func(*args, **kwargs) for func, args, kwargs in self.items]
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/sklearn/externals/joblib/parallel.py", line 72, in <listcomp>
    return [func(*args, **kwargs) for func, args, kwargs in self.items]
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/sklearn/linear_model/logistic.py", line 883, in _log_reg_scoring_path
    sample_weight=sample_weight)
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/sklearn/linear_model/logistic.py", line 693, in logistic_regression_path
    iprint=(verbose > 0) - 1, pgtol=tol, maxiter=max_iter)
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/scipy/optimize/lbfgsb.py", line 188, in fmin_l_bfgs_b
    **opts)
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/scipy/optimize/lbfgsb.py", line 320, in _minimize_lbfgsb
    f, g = func_and_grad(x)
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/scipy/optimize/lbfgsb.py", line 271, in func_and_grad
    f = fun(x, *args)
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/scipy/optimize/optimize.py", line 285, in function_wrapper
    return function(*(wrapper_args + args))
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/scipy/optimize/optimize.py", line 63, in __call__
    fg = self.fun(x, *args)
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/sklearn/linear_model/logistic.py", line 97, in _logistic_loss_and_grad
    w, c, yz = _intercept_dot(w, X, y)
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/sklearn/linear_model/logistic.py", line 61, in _intercept_dot
    z = safe_sparse_dot(X, w) + c
  File "/home/eric/.virtualenvs/dedupe-api/lib/python3.4/site-packages/sklearn/utils/extmath.py", line 184, in safe_sparse_dot
    return fast_dot(a, b)