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