Fix typos (#498)

py-why · Aug 8, 2021 · 1bb4f3f · 1bb4f3f
1 parent 2783e09
commit 1bb4f3f
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diff --git a/econml/sklearn_extensions/linear_model.py b/econml/sklearn_extensions/linear_model.py
@@ -1783,7 +1783,7 @@ def fit(self, X, y, sample_weight=None, freq_weight=None, sample_var=None):
  param, _, rank, _ = np.linalg.lstsq(WX, wy, rcond=None)
 
  if rank < param.shape[0]:
- warnings.warn("Co-variance matrix is undertermined. Inference will be invalid!")
+ warnings.warn("Co-variance matrix is underdetermined. Inference will be invalid!")
 
  sigma_inv = np.linalg.pinv(np.matmul(WX.T, WX))
  self._param = param

diff --git a/econml/solutions/causal_analysis/_causal_analysis.py b/econml/solutions/causal_analysis/_causal_analysis.py
@@ -598,7 +598,7 @@ def fit(self, X, y, warm_start=False):
  f"but was given {self.nuisance_models}")
 
  assert self.heterogeneity_model in ['linear', 'forest'], (
- "The only supported heterogeneity models are 'linear' and, 'forest but received "
+ "The only supported heterogeneity models are 'linear' and 'forest' but received "
  f"{self.heterogeneity_model}")
 
  assert np.ndim(X) == 2, f"X must be a 2-dimensional array, but here had shape {np.shape(X)}"