train_trees_explain.py

params = {
  'n_trees': 50,
  'max_depth': 3,
  'n_batches_per_layer': 1,
  # You must enable center_bias = True to get DFCs. This will force the model to 
  # make an initial prediction before using any features (e.g. use the mean of 
  # the training labels for regression or log odds for classification when
  # using cross entropy loss).
  'center_bias': True
}
est = tf.estimator.BoostedTreesClassifier(feature_columns, **params)
# Train model.
est.train(train_input_fn, max_steps=100)
# Evaluation.
results = est.evaluate(eval_input_fn)