Feezing a skflow model

Question

I have built a model using using tensorforest in sklow along with the following model files

1. checkpoint
2. graph.pbtxt
3. model.ckpt-1.meta
4. model.ckpt-1-00000-of-00001
5. events.out.tfevents.1495890133.COGCONSs-MacBook-Pro.local

Could anyone tell me how to write a code to freeze and sklow model?Do I have to use placeholders like its done in tensorflow or is it different for skflow? Here is the code

    y_train = pd.factorize(df_train['data.0.sleeping'])[0]
    y_test = pd.factorize(df_test['data.0.sleeping'])[0]
    df_test=df_test.iloc[:, :-1]
    print(df_test.head(3))
    hparams = tf.contrib.tensor_forest.python.tensor_forest.ForestHParams(
             num_trees=3, max_nodes=1000, num_classes=2, num_features=4)
    clf = tf.contrib.learn.TensorForestEstimator(hparams, model_dir='model/')
    clf.fit(x=df_train[features], y=y_train,steps=100)