Export Model

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!pip install autokeras

import tensorflow as tf
from tensorflow.keras.datasets import mnist
from tensorflow.keras.models import load_model

import autokeras as ak

You can easily export your model the best model found by AutoKeras as a Keras Model.

The following example uses ImageClassifier as an example. All the tasks and the AutoModel has this export_model function.

print(tf.__version__)
(x_train, y_train), (x_test, y_test) = mnist.load_data()

# Initialize the image classifier.
clf = ak.ImageClassifier(
    overwrite=True, max_trials=1
)  # Try only 1 model.(Increase accordingly)
# Feed the image classifier with training data.
clf.fit(x_train, y_train, epochs=1)  # Change no of epochs to improve the model
# Export as a Keras Model.
model = clf.export_model()

print(type(model))  # <class 'tensorflow.python.keras.engine.training.Model'>

try:
    model.save("model_autokeras", save_format="tf")
except Exception:
    model.save("model_autokeras.h5")


loaded_model = load_model("model_autokeras", custom_objects=ak.CUSTOM_OBJECTS)

predicted_y = loaded_model.predict(tf.expand_dims(x_test, -1))
print(predicted_y)