GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTimestampTransformation
import type { GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransformationTimestampTransformation } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";
Training pipeline will perform following transformation functions. * Apply the transformation functions for Numerical columns. * Determine the year, month, day,and weekday. Treat each value from the * timestamp as a Categorical column. * Invalid numerical values (for example, values that fall outside of a typical timestamp range, or are extreme values) receive no special treatment and are not removed.
§Properties
If invalid values is allowed, the training pipeline will create a boolean feature that indicated whether the value is valid. Otherwise, the training pipeline will discard the input row from trainining data.
The format in which that time field is expressed. The time_format must
either be one of: * unix-seconds
* unix-milliseconds
*
unix-microseconds
* unix-nanoseconds
(for respectively number of
seconds, milliseconds, microseconds and nanoseconds since start of the Unix
epoch); or be written in strftime
syntax. If time_format is not set, then
the default format is RFC 3339 date-time
format, where time-offset
=
"Z"
(e.g. 1985-04-12T23:20:50.52Z)