Merge pull request #11 from kjhall01/kyle/fix_poelm

lapack datatype error - coercing to float64

src/flat_estimators/classifiers/poelm.py

@@ -35,6 +35,7 @@ def __init__(self, activation='sigm', hidden_layer_size=5, initialization='rando
 		self.preprocessing = preprocessing
 
 	def fit(self, x, y):
+		x, y = x.astype(np.float64), y.astype(np.float64)
 		assert len(y.shape) == 2, 'POELM expects Y to be of shape (n_samples, n_classes) even if it is a binary classification - got {}'.format(y.shape)
 		assert len(x.shape) == 2, 'POELM expects X to be of shape (n_samples, n_features) - got {}'.format(x.shape)
 		assert 0.0 <= np.min(y) and np.max(y) <= 1.0, 'POELM expects that no value in Y is ever greater than 1 or less than 0'
@@ -195,6 +196,7 @@ def fit(self, x, y):
 
 
 	def predict(self, x, preprocessing='asis'):
+		x = x.astype(np.float64)
 		# first, take care of preprocessing
 		ret = self.predict_proba(x, preprocessing=preprocessing)
 		if self.using_multiclass: