parameters: (self, X)
return_statement: return self._decision_function(X).ravel()
docstring: Predict regression target for X.
  
          Parameters
          ----------
          X : array-like of shape = [n_samples, n_features]
              The input samples.
  
          Returns
          -------
          y : array of shape = [n_samples]
              The predicted values.
docstring_summary: Predict regression target for X.
docstring_tokens: Predict regression target for X .
function: def predict(self, X):
          """Predict regression target for X.
  
          Parameters
          ----------
          X : array-like of shape = [n_samples, n_features]
              The input samples.
  
          Returns
          -------
          y : array of shape = [n_samples]
              The predicted values.
          """
          X = check_array(X, dtype=DTYPE, order="C")
          return self._decision_function(X).ravel()
function_tokens: def predict ( self , X ) : X = check_array ( X , dtype = DTYPE , order = "C" ) return self . _decision_function ( X ) . ravel ( )