Generate predictions from a Keras model
Generates output predictions for the input samples, processing the samples in a batched way.
## S3 method for class 'keras.engine.training.Model' predict( object, x, batch_size = NULL, verbose = 0, steps = NULL, callbacks = NULL, ... )
object |
Keras model |
x |
Input data (vector, matrix, or array). You can also
pass a |
batch_size |
Integer. If unspecified, it will default to 32. |
verbose |
Verbosity mode, 0 or 1. |
steps |
Total number of steps (batches of samples) before declaring the
evaluation round finished. Ignored with the default value of |
callbacks |
List of callbacks to apply during prediction. |
... |
Unused |
vector, matrix, or array of predictions
Other model functions:
compile.keras.engine.training.Model(),
evaluate.keras.engine.training.Model(),
evaluate_generator(),
fit.keras.engine.training.Model(),
fit_generator(),
get_config(),
get_layer(),
keras_model_sequential(),
keras_model(),
multi_gpu_model(),
pop_layer(),
predict_generator(),
predict_on_batch(),
predict_proba(),
summary.keras.engine.training.Model(),
train_on_batch()
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