def _perform_sanity_checks()

in ludwig/utils/defaults.py [0:0]

• 39 lines of code
• 4 McCabe index (conditional complexity)

def _perform_sanity_checks(model_definition):
    assert 'input_features' in model_definition, (
        'Model definition does not define any input features'
    )

    assert 'output_features' in model_definition, (
        'Model definition does not define any output features'
    )

    assert isinstance(model_definition['input_features'], list), (
        'Ludwig expects input features in a list. Check your model '
        'definition format'
    )

    assert isinstance(model_definition['output_features'], list), (
        'Ludwig expects output features in a list. Check your model '
        'definition format'
    )

    assert len(model_definition['input_features']) > 0, (
        'Model definition needs to have at least one input feature'
    )

    assert len(model_definition['output_features']) > 0, (
        'Model definition needs to have at least one output feature'
    )

    if TRAINING in model_definition:
        assert isinstance(model_definition[TRAINING], dict), (
            'There is an issue while reading the training section of the '
            'model definition. The parameters are expected to be'
            'read as a dictionary. Please check your model definition format.'
        )

    if 'preprocessing' in model_definition:
        assert isinstance(model_definition['preprocessing'], dict), (
            'There is an issue while reading the preprocessing section of the '
            'model definition. The parameters are expected to be read'
            'as a dictionary. Please check your model definition format.'
        )

    if 'combiner' in model_definition:
        assert isinstance(model_definition['combiner'], dict), (
            'There is an issue while reading the combiner section of the '
            'model definition. The parameters are expected to be read'
            'as a dictionary. Please check your model definition format.'
        )