How can I verify the output of a row after loading the model into memory ?

[akshit96]

I want to manually verify the prediction of a particular testing sample.

[Anncastle]

you can use load_state function and set the number of features to use the model file.
For example:
model2 = TFFMClassifier(
order=2,
rank=32,
optimizer=tf.train.AdamOptimizer(learning_rate=0.001),
n_epochs=3,
batch_size=512,
init_std=0.01,
reg=0.01,
input_type='sparse',
seed=1
)
model2.core.set_num_features(X_tr.shape[1])
model2.load_state('./tmp/state.tf')

then input your testing sample and get the result