temporian.from_tensorflow_record #

from_tensorflow_record(
    path: Union[str, List[str]],
    schema: Schema,
    timestamps: str = "timestamp",
    format: TFRecordEventSetFormatChoices = TFRecordEventSetFormat.GROUPED_BY_INDEX,
    num_parallel_reads: Optional[int] = None,
    buffer_size: Optional[int] = None,
) -> EventSet

Imports an EventSet from a TF.Records of TF.Examples.

TF.Records of TF.Examples is one of the standard solution to store data for TensorFlow models. https://www.tensorflow.org/tutorials/load_data/tfrecord

The GZIP compression is used.

Parameters:

Name	Type	Description	Default
`path`	`Union[str, List[str]]`	Path to TF.Record file or list of path to TF.Record files.	required
`timestamps`	`str`	Name of the output column containing timestamps.	`'timestamp'`
`format`	`TFRecordEventSetFormatChoices`	Format of the events inside the received record. At the moment only TFRecordEventSetFormat.GROUPED_BY_INDEX is supported. See TFRecordEventSetFormat for more.	`GROUPED_BY_INDEX`
`num_parallel_reads`	`Optional[int]`	Number of files to read in parallel. Only used if `path` is a list of files. If not set, files are read sequentially.	`None`
`buffer_size`	`Optional[int]`	Number of bytes in the buffer. If not set, use a sensible default value.	`None`

Returns:

Type	Description
`EventSet`	Imported EventSet.