Struct googapis::google::cloud::automl::v1beta1::TablesDatasetMetadata [−][src]
pub struct TablesDatasetMetadata {
pub primary_table_spec_id: String,
pub target_column_spec_id: String,
pub weight_column_spec_id: String,
pub ml_use_column_spec_id: String,
pub target_column_correlations: HashMap<String, CorrelationStats>,
pub stats_update_time: Option<Timestamp>,
}
Expand description
Metadata for a dataset used for AutoML Tables.
Fields
primary_table_spec_id: String
Output only. The table_spec_id of the primary table of this dataset.
target_column_spec_id: String
column_spec_id of the primary table’s column that should be used as the training & prediction target. This column must be non-nullable and have one of following data types (otherwise model creation will error):
-
CATEGORY
-
FLOAT64
If the type is CATEGORY , only up to 100 unique values may exist in that column across all rows.
NOTE: Updates of this field will instantly affect any other users concurrently working with the dataset.
weight_column_spec_id: String
column_spec_id of the primary table’s column that should be used as the weight column, i.e. the higher the value the more important the row will be during model training. Required type: FLOAT64. Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is ignored for training. If not set all rows are assumed to have equal weight of 1. NOTE: Updates of this field will instantly affect any other users concurrently working with the dataset.
ml_use_column_spec_id: String
column_spec_id of the primary table column which specifies a possible ML
use of the row, i.e. the column will be used to split the rows into TRAIN,
VALIDATE and TEST sets.
Required type: STRING.
This column, if set, must either have all of TRAIN
, VALIDATE
, TEST
among its values, or only have TEST
, UNASSIGNED
values. In the latter
case the rows with UNASSIGNED
value will be assigned by AutoML. Note
that if a given ml use distribution makes it impossible to create a “good”
model, that call will error describing the issue.
If both this column_spec_id and primary table’s time_column_spec_id are not
set, then all rows are treated as UNASSIGNED
.
NOTE: Updates of this field will instantly affect any other users
concurrently working with the dataset.
target_column_correlations: HashMap<String, CorrelationStats>
Output only. Correlations between
[TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id], and other columns of the
[TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id]. Only set if the target column is set. Mapping from other column spec id to its CorrelationStats with the target column. This field may be stale, see the stats_update_time field for for the timestamp at which these stats were last updated.
stats_update_time: Option<Timestamp>
Output only. The most recent timestamp when target_column_correlations field and all descendant ColumnSpec.data_stats and ColumnSpec.top_correlated_columns fields were last (re-)generated. Any changes that happened to the dataset afterwards are not reflected in these fields values. The regeneration happens in the background on a best effort basis.
Trait Implementations
fn merge_field<B>(
&mut self,
tag: u32,
wire_type: WireType,
buf: &mut B,
ctx: DecodeContext
) -> Result<(), DecodeError> where
B: Buf,
Returns the encoded length of the message without a length delimiter.
Encodes the message to a buffer. Read more
Encodes the message to a newly allocated buffer.
Encodes the message with a length-delimiter to a buffer. Read more
Encodes the message with a length-delimiter to a newly allocated buffer.
Decodes an instance of the message from a buffer. Read more
fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
Self: Default,
B: Buf,
fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
Self: Default,
B: Buf,
Decodes a length-delimited instance of the message from the buffer.
Decodes an instance of the message from a buffer, and merges it into self
. Read more
Decodes a length-delimited instance of the message from buffer, and
merges it into self
. Read more
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
This method tests for !=
.
Auto Trait Implementations
impl RefUnwindSafe for TablesDatasetMetadata
impl Send for TablesDatasetMetadata
impl Sync for TablesDatasetMetadata
impl Unpin for TablesDatasetMetadata
impl UnwindSafe for TablesDatasetMetadata
Blanket Implementations
Mutably borrows from an owned value. Read more
Wrap the input message T
in a tonic::Request
pub fn vzip(self) -> V
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more