@@ -89,7 +89,7 @@ def _data_setter(self, X) -> None:
8989 This method is used internally to register new data for the model for
9090 prediction.
9191 """
92- with self . model :
92+ with self :
9393 pm .set_data ({"X" : X })
9494
9595 def fit (self , X , y , coords : Optional [Dict [str , Any ]] = None ) -> None :
@@ -105,7 +105,7 @@ def fit(self, X, y, coords: Optional[Dict[str, Any]] = None) -> None:
105105 random_seed = None
106106
107107 self .build_model (X , y , coords )
108- with self . model :
108+ with self :
109109 self .idata = pm .sample (** self .sample_kwargs )
110110 self .idata .extend (pm .sample_prior_predictive (random_seed = random_seed ))
111111 self .idata .extend (
@@ -125,7 +125,7 @@ def predict(self, X):
125125 """
126126
127127 self ._data_setter (X )
128- with self . model : # sample with new input data
128+ with self : # sample with new input data
129129 post_pred = pm .sample_posterior_predictive (
130130 self .idata , var_names = ["y_hat" , "mu" ], progressbar = False
131131 )
@@ -354,7 +354,7 @@ def fit(self, X, Z, y, t, coords, priors):
354354 distributions.
355355 """
356356 self .build_model (X , Z , y , t , coords , priors )
357- with self . model :
357+ with self :
358358 self .idata = pm .sample (** self .sample_kwargs )
359359 self .idata .extend (pm .sample_prior_predictive ())
360360 self .idata .extend (
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