keras: predict_proba – R documentation

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predict_proba

Generates probability or class probability predictions for the input samples.

Generates probability or class probability predictions for the input samples.

predict_proba(object, x, batch_size = NULL, verbose = 0, steps = NULL)

predict_classes(object, x, batch_size = NULL, verbose = 0, steps = NULL)

`object`	Keras model object
`x`	Input data (vector, matrix, or array). You can also pass a `tfdataset` or a generator returning a list with `(inputs, targets)` or `(inputs, targets, sample_weights)`.
`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. The default `NULL` is equal to the number of samples in your dataset divided by the batch size.

The input samples are processed batch by batch.