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| example_product = "Nikon Coolpix A10 Point and Shoot Camera (Black)" | |
| example_product = preprocess(example_product) | |
| example_sequence = tokenizer.texts_to_sequences([example_product]) | |
| example_padded_sequence = pad_sequences(example_sequence, maxlen=MAX_SEQUENCE_LENGTH) | |
| print("-"*10) | |
| print("Predicted category: ", category_reverse_index[model_1.predict_classes(example_padded_sequence, verbose=0)[0]]) | |
| print("-"*10) | |
| probabilities = model_1.predict(example_padded_sequence, verbose=0) | |
| probabilities = probabilities[0] | |
| print("Clothing Probability: ",probabilities[category_index["clothing"]] ) | |
| print("Camera Probability: ",probabilities[category_index["camera"]] ) | |
| print("home appliances probability: ",probabilities[category_index["home-appliances"]] ) |
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