tf.keras.preprocessing.sequence.TimeseriesGenerator
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Utility class for generating batches of temporal data.
Inherits From: PyDataset
tf.keras.preprocessing.sequence.TimeseriesGenerator(
data,
targets,
length,
sampling_rate=1,
stride=1,
start_index=0,
end_index=None,
shuffle=False,
reverse=False,
batch_size=128
)
DEPRECATED.
This class takes in a sequence of data-points gathered at equal intervals, along with time series parameters such as stride, length of history, etc., to produce batches for training/validation.
Arguments |
|---|
data | Indexable generator (such as list or Numpy array) containing consecutive data points (timesteps). The data should be at 2D, and axis 0 is expected to be the time dimension. |
targets | Targets corresponding to timesteps in data. It should have same length as data. |
length | Length of the output sequences (in number of timesteps). |
sampling_rate | Period between successive individual timesteps within sequences. For rate r, timesteps data[i], data[i-r], ... data[i - length] are used for create a sample sequence. |
stride | Period between successive output sequences. For stride s, consecutive output samples would be centered around data[i], data[i+s], data[i+2*s], etc. |
start_index | Data points earlier than start_index will not be used in the output sequences. This is useful to reserve part of the data for test or validation. |
end_index | Data points later than end_index will not be used in the output sequences. This is useful to reserve part of the data for test or validation. |
shuffle | Whether to shuffle output samples, or instead draw them in chronological order. |
reverse | Boolean: if true, timesteps in each output sample will be in reverse chronological order. |
batch_size | Number of timeseries samples in each batch (except maybe the last one). |
Returns |
|---|
| A PyDataset instance. |
Attributes |
|---|
max_queue_size | |
num_batches | Number of batches in the PyDataset. |
use_multiprocessing | |
workers | |
Methods
get_config
View source
get_config()
Returns the TimeseriesGenerator configuration as Python dictionary.
| Returns |
|---|
| A Python dictionary with the TimeseriesGenerator configuration. |
on_epoch_end
View source
on_epoch_end()
Method called at the end of every epoch.
to_json
View source
to_json(
**kwargs
)
Returns a JSON string containing the generator's configuration.
| Args |
|---|
**kwargs | Additional keyword arguments to be passed to json.dumps(). |
| Returns |
|---|
| A JSON string containing the tokenizer configuration. |
__getitem__
View source
__getitem__(
index
)
Gets batch at position index.
| Args |
|---|
index | position of the batch in the PyDataset. |
__len__
View source
__len__()
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Last updated 2024-06-07 UTC.
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