ludwig/features/category_feature.py [101:110]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    def __init__(self, feature, encoder_obj=None):
        super().__init__(feature)
        self.overwrite_defaults(feature)
        if encoder_obj:
            self.encoder_obj = encoder_obj
        else:
            self.encoder_obj = self.initialize_encoder(feature)

    def call(self, inputs, training=None, mask=None):
        assert isinstance(inputs, tf.Tensor)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/features/set_feature.py [105:114]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    def __init__(self, feature, encoder_obj=None):
        super().__init__(feature)
        self.overwrite_defaults(feature)
        if encoder_obj:
            self.encoder_obj = encoder_obj
        else:
            self.encoder_obj = self.initialize_encoder(feature)

    def call(self, inputs, training=None, mask=None):
        assert isinstance(inputs, tf.Tensor)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/features/vector_feature.py [148:157]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    def __init__(self, feature, encoder_obj=None):
        super().__init__(feature)
        self.overwrite_defaults(feature)
        if encoder_obj:
            self.encoder_obj = encoder_obj
        else:
            self.encoder_obj = self.initialize_encoder(feature)

    def call(self, inputs, training=None, mask=None):
        assert isinstance(inputs, tf.Tensor)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/features/numerical_feature.py [141:150]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    def __init__(self, feature, encoder_obj=None):
        super().__init__(feature)
        self.overwrite_defaults(feature)
        if encoder_obj:
            self.encoder_obj = encoder_obj
        else:
            self.encoder_obj = self.initialize_encoder(feature)

    def call(self, inputs, training=None, mask=None):
        assert isinstance(inputs, tf.Tensor)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/features/bag_feature.py [97:106]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    def __init__(self, feature, encoder_obj=None):
        super().__init__(feature)
        self.overwrite_defaults(feature)
        if encoder_obj:
            self.encoder_obj = encoder_obj
        else:
            self.encoder_obj = self.initialize_encoder(feature)

    def call(self, inputs, training=None, mask=None):
        assert isinstance(inputs, tf.Tensor)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/features/binary_feature.py [75:84]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    def __init__(self, feature, encoder_obj=None):
        super().__init__(feature)
        self.overwrite_defaults(feature)
        if encoder_obj:
            self.encoder_obj = encoder_obj
        else:
            self.encoder_obj = self.initialize_encoder(feature)

    def call(self, inputs, training=None, mask=None):
        assert isinstance(inputs, tf.Tensor)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/features/date_feature.py [116:125]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    def __init__(self, feature, encoder_obj=None):
        super().__init__(feature)
        self.overwrite_defaults(feature)
        if encoder_obj:
            self.encoder_obj = encoder_obj
        else:
            self.encoder_obj = self.initialize_encoder(feature)

    def call(self, inputs, training=None, mask=None):
        assert isinstance(inputs, tf.Tensor)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/features/h3_feature.py [79:88]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    def __init__(self, feature, encoder_obj=None):
        super().__init__(feature)
        self.overwrite_defaults(feature)
        if encoder_obj:
            self.encoder_obj = encoder_obj
        else:
            self.encoder_obj = self.initialize_encoder(feature)

    def call(self, inputs, training=None, mask=None):
        assert isinstance(inputs, tf.Tensor)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/features/sequence_feature.py [127:137]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    def __init__(self, feature, encoder_obj=None):
        super().__init__(feature)
        self.overwrite_defaults(feature)
        if encoder_obj:
            self.encoder_obj = encoder_obj
        else:
            self.encoder_obj = self.initialize_encoder(feature)


    def call(self, inputs, training=None, mask=None):
        assert isinstance(inputs, tf.Tensor)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ludwig/features/image_feature.py [348:357]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    def __init__(self, feature, encoder_obj=None):
        super().__init__(feature)
        self.overwrite_defaults(feature)
        if encoder_obj:
            self.encoder_obj = encoder_obj
        else:
            self.encoder_obj = self.initialize_encoder(feature)

    def call(self, inputs, training=None, mask=None):
        assert isinstance(inputs, tf.Tensor)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -