Class AutoMlTablesInputs.Transformation.TimestampTransformation.Builder (2.5.3)

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.

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation

string column_name = 1;

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.

bool invalid_values_allowed = 3;

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)

string time_format = 2;

string column_name = 1;

string column_name = 1;

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.

bool invalid_values_allowed = 3;

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)

string time_format = 2;

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)

string time_format = 2;

string column_name = 1;

string column_name = 1;

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.

bool invalid_values_allowed = 3;

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)

string time_format = 2;

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)

string time_format = 2;