Putting together some reload tests

class MultitaskFitTransformRegressor(MultitaskRegressor):

  """Implements a MultitaskRegressor that performs on-the-fly transformation during fit/predict.

  Example:

  Examples

  --------

  >>> n_samples = 10

  >>> n_features = 3

  >>> n_tasks = 1

def test_skewed_missing_classification_overfit():

  """TG, skewed data, few actives

  """MultitaskClassifier, skewed data, few actives

  Test MultitaskClassifier overfit 0/1 datasets with missing data and few

  actives. This is intended to be as close to singletask MUV datasets as

  assert scores[classification_metric.name] > .9

def test_tf_robust_multitask_classification_overfit():

  """Test tf robust multitask overfits tiny data."""

def test_robust_multitask_classification_overfit():

  """Test robust multitask overfits tiny data."""

  n_tasks = 10

  n_samples = 10

  n_features = 3