I have been creating a tf.estimator.DNNClassifier model in order to classify data I have into three categories that I have designated as either “0”, “1”, “2”. These values are in a pandas series that I the pass to the model along with the training data in the below code:
classifier = tf.estimator.DNNClassifier( feature_columns=my_feature_columns, # Define the nodes in the two fidden layers hidden_units=[30, 10], # The model must choose between 3 classes n_classes=3) classifier.train( input_fn=lambda: input_fn(train, train_y, training=True), steps=5000, )
When I run this code and the values are a string I get the Error Message:
ValueError: Labels dtype should be integer. Instead got <dtype: 'string'>.
However when I then change these values to integers I get the next error message:
TypeError: Expected binary or unicode string, got 0
Both of these error messages are generated when I attempt to train the model I can’t find any reason why I am getting two error messages which seem to contradict each other. Does anyone know what’s going on?
If anymore context is needed such as the surrounding code let me know.