def create_micromodel(self): pred_index = _to_cpp_array_int(self.prediction_column) cond_index= _to_cpp_array_int(self.conditional_column) self._saved_model = _IscMarkovGaussMicroModel(pred_index, len(self.prediction_column), cond_index, len(self.conditional_column)) pyisc._free_array_int(pred_index) pyisc._free_array_int(cond_index) return self._saved_model
def create_micromodel(self): pred_index = _to_cpp_array_int(self.prediction_column) cond_index = _to_cpp_array_int(self.conditional_column) self._saved_model = _IscMarkovGaussMicroModel( pred_index, len(self.prediction_column), cond_index, len(self.conditional_column)) pyisc._free_array_int(pred_index) pyisc._free_array_int(cond_index) return self._saved_model
def create_micromodel(self): return _IscMultiGaussianMicroModel(len(self.column_index), _to_cpp_array_int(self.column_index))
def create_micromodel(self): return _IscMultiGaussianMicroModel( len(self.column_index), _to_cpp_array_int(self.column_index))
def create_micromodel(self): column_array = _to_cpp_array_int(self.column_index) self._saved_model = _IscMultiGaussianMicroModel(len(self.column_index), column_array) pyisc._free_array_int(column_array) return self._saved_model
def create_micromodel(self): value_array = _to_cpp_array_int(self.value_columns) self._saved_model = _IscMarkovGaussMatrixMicroModel(value_array, len(self.value_columns), self.slots_per_row) pyisc._free_array_int(value_array) return self._saved_model
def create_micromodel(self): column_array = _to_cpp_array_int(self.column_index) self._saved_model = _IscMultiGaussianMicroModel( len(self.column_index), column_array) pyisc._free_array_int(column_array) return self._saved_model
def create_micromodel(self): value_array = _to_cpp_array_int(self.value_columns) self._saved_model = _IscMarkovGaussMatrixMicroModel( value_array, len(self.value_columns), self.slots_per_row) pyisc._free_array_int(value_array) return self._saved_model