databricks.getFeatureEngineeringFeature

func LookupFeatureEngineeringFeature(ctx *Context, args *LookupFeatureEngineeringFeatureArgs, opts ...InvokeOption) (*LookupFeatureEngineeringFeatureResult, error)
func LookupFeatureEngineeringFeatureOutput(ctx *Context, args *LookupFeatureEngineeringFeatureOutputArgs, opts ...InvokeOption) LookupFeatureEngineeringFeatureResultOutput

> Note: This function is named LookupFeatureEngineeringFeature in the Go SDK.

FullName string

The full three-part name (catalog, schema, name) of the feature

ProviderConfig GetFeatureEngineeringFeatureProviderConfig

Configure the provider for management through account provider.

FullName string

The full three-part name (catalog, schema, name) of the feature

ProviderConfig GetFeatureEngineeringFeatureProviderConfig

Configure the provider for management through account provider.

fullName String

The full three-part name (catalog, schema, name) of the feature

providerConfig GetFeatureEngineeringFeatureProviderConfig

Configure the provider for management through account provider.

fullName string

The full three-part name (catalog, schema, name) of the feature

providerConfig GetFeatureEngineeringFeatureProviderConfig

Configure the provider for management through account provider.

full_name str

The full three-part name (catalog, schema, name) of the feature

provider_config GetFeatureEngineeringFeatureProviderConfig

Configure the provider for management through account provider.

fullName String

The full three-part name (catalog, schema, name) of the feature

providerConfig Property Map

Configure the provider for management through account provider.

Description string

(string) - The description of the feature

Entities List<GetFeatureEngineeringFeatureEntity>

(list of EntityColumn) - The entity columns for the feature, used as aggregation keys and for query-time lookup

FilterCondition string

(string) - The filter condition applied to the source data before aggregation

FullName string

(string) - The full three-part (catalog, schema, table) name of the Delta table

Function GetFeatureEngineeringFeatureFunction

(Function) - The function by which the feature is computed

Id string

The provider-assigned unique ID for this managed resource.

Inputs List<string>

(list of string, deprecated) - Deprecated: Use AggregationFunction.inputs instead. Kept for backwards compatibility. The input columns from which the feature is computed

LineageContext GetFeatureEngineeringFeatureLineageContext

(LineageContext) - Lineage context information for this feature. WARNING: This field is primarily intended for internal use by Databricks systems and is automatically populated when features are created through Databricks notebooks or jobs. Users should not manually set this field as incorrect values may lead to inaccurate lineage tracking or unexpected behavior. This field will be set by feature-engineering client and should be left unset by SDK and terraform users

Source GetFeatureEngineeringFeatureSource

(DataSource) - The data source of the feature

TimeWindow GetFeatureEngineeringFeatureTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

TimeseriesColumn GetFeatureEngineeringFeatureTimeseriesColumn

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

ProviderConfig GetFeatureEngineeringFeatureProviderConfig

Description string

(string) - The description of the feature

Entities []GetFeatureEngineeringFeatureEntity

(list of EntityColumn) - The entity columns for the feature, used as aggregation keys and for query-time lookup

FilterCondition string

(string) - The filter condition applied to the source data before aggregation

FullName string

(string) - The full three-part (catalog, schema, table) name of the Delta table

Function GetFeatureEngineeringFeatureFunction

(Function) - The function by which the feature is computed

Id string

The provider-assigned unique ID for this managed resource.

Inputs []string

(list of string, deprecated) - Deprecated: Use AggregationFunction.inputs instead. Kept for backwards compatibility. The input columns from which the feature is computed

LineageContext GetFeatureEngineeringFeatureLineageContext

(LineageContext) - Lineage context information for this feature. WARNING: This field is primarily intended for internal use by Databricks systems and is automatically populated when features are created through Databricks notebooks or jobs. Users should not manually set this field as incorrect values may lead to inaccurate lineage tracking or unexpected behavior. This field will be set by feature-engineering client and should be left unset by SDK and terraform users

Source GetFeatureEngineeringFeatureSource

(DataSource) - The data source of the feature

TimeWindow GetFeatureEngineeringFeatureTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

TimeseriesColumn GetFeatureEngineeringFeatureTimeseriesColumn

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

ProviderConfig GetFeatureEngineeringFeatureProviderConfig

description String

(string) - The description of the feature

entities List<GetFeatureEngineeringFeatureEntity>

(list of EntityColumn) - The entity columns for the feature, used as aggregation keys and for query-time lookup

filterCondition String

(string) - The filter condition applied to the source data before aggregation

fullName String

(string) - The full three-part (catalog, schema, table) name of the Delta table

function GetFeatureEngineeringFeatureFunction

(Function) - The function by which the feature is computed

id String

The provider-assigned unique ID for this managed resource.

inputs List<String>

(list of string, deprecated) - Deprecated: Use AggregationFunction.inputs instead. Kept for backwards compatibility. The input columns from which the feature is computed

lineageContext GetFeatureEngineeringFeatureLineageContext

(LineageContext) - Lineage context information for this feature. WARNING: This field is primarily intended for internal use by Databricks systems and is automatically populated when features are created through Databricks notebooks or jobs. Users should not manually set this field as incorrect values may lead to inaccurate lineage tracking or unexpected behavior. This field will be set by feature-engineering client and should be left unset by SDK and terraform users

source GetFeatureEngineeringFeatureSource

(DataSource) - The data source of the feature

timeWindow GetFeatureEngineeringFeatureTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

timeseriesColumn GetFeatureEngineeringFeatureTimeseriesColumn

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

providerConfig GetFeatureEngineeringFeatureProviderConfig

description string

(string) - The description of the feature

entities GetFeatureEngineeringFeatureEntity[]

(list of EntityColumn) - The entity columns for the feature, used as aggregation keys and for query-time lookup

filterCondition string

(string) - The filter condition applied to the source data before aggregation

fullName string

(string) - The full three-part (catalog, schema, table) name of the Delta table

function GetFeatureEngineeringFeatureFunction

(Function) - The function by which the feature is computed

id string

The provider-assigned unique ID for this managed resource.

inputs string[]

(list of string, deprecated) - Deprecated: Use AggregationFunction.inputs instead. Kept for backwards compatibility. The input columns from which the feature is computed

lineageContext GetFeatureEngineeringFeatureLineageContext

(LineageContext) - Lineage context information for this feature. WARNING: This field is primarily intended for internal use by Databricks systems and is automatically populated when features are created through Databricks notebooks or jobs. Users should not manually set this field as incorrect values may lead to inaccurate lineage tracking or unexpected behavior. This field will be set by feature-engineering client and should be left unset by SDK and terraform users

source GetFeatureEngineeringFeatureSource

(DataSource) - The data source of the feature

timeWindow GetFeatureEngineeringFeatureTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

timeseriesColumn GetFeatureEngineeringFeatureTimeseriesColumn

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

providerConfig GetFeatureEngineeringFeatureProviderConfig

description str

(string) - The description of the feature

entities Sequence[GetFeatureEngineeringFeatureEntity]

(list of EntityColumn) - The entity columns for the feature, used as aggregation keys and for query-time lookup

filter_condition str

(string) - The filter condition applied to the source data before aggregation

full_name str

(string) - The full three-part (catalog, schema, table) name of the Delta table

function GetFeatureEngineeringFeatureFunction

(Function) - The function by which the feature is computed

id str

The provider-assigned unique ID for this managed resource.

inputs Sequence[str]

(list of string, deprecated) - Deprecated: Use AggregationFunction.inputs instead. Kept for backwards compatibility. The input columns from which the feature is computed

lineage_context GetFeatureEngineeringFeatureLineageContext

(LineageContext) - Lineage context information for this feature. WARNING: This field is primarily intended for internal use by Databricks systems and is automatically populated when features are created through Databricks notebooks or jobs. Users should not manually set this field as incorrect values may lead to inaccurate lineage tracking or unexpected behavior. This field will be set by feature-engineering client and should be left unset by SDK and terraform users

source GetFeatureEngineeringFeatureSource

(DataSource) - The data source of the feature

time_window GetFeatureEngineeringFeatureTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

timeseries_column GetFeatureEngineeringFeatureTimeseriesColumn

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

provider_config GetFeatureEngineeringFeatureProviderConfig

description String

(string) - The description of the feature

entities List<Property Map>

(list of EntityColumn) - The entity columns for the feature, used as aggregation keys and for query-time lookup

filterCondition String

(string) - The filter condition applied to the source data before aggregation

fullName String

(string) - The full three-part (catalog, schema, table) name of the Delta table

function Property Map

(Function) - The function by which the feature is computed

id String

The provider-assigned unique ID for this managed resource.

inputs List<String>

(list of string, deprecated) - Deprecated: Use AggregationFunction.inputs instead. Kept for backwards compatibility. The input columns from which the feature is computed

lineageContext Property Map

(LineageContext) - Lineage context information for this feature. WARNING: This field is primarily intended for internal use by Databricks systems and is automatically populated when features are created through Databricks notebooks or jobs. Users should not manually set this field as incorrect values may lead to inaccurate lineage tracking or unexpected behavior. This field will be set by feature-engineering client and should be left unset by SDK and terraform users

source Property Map

(DataSource) - The data source of the feature

timeWindow Property Map

(TimeWindow) - The time window over which the aggregation is computed

timeseriesColumn Property Map

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

providerConfig Property Map

Name string

(string) - The name of the timeseries column

Name string

(string) - The name of the timeseries column

name String

(string) - The name of the timeseries column

name string

(string) - The name of the timeseries column

name str

(string) - The name of the timeseries column

name String

(string) - The name of the timeseries column

AggregationFunction GetFeatureEngineeringFeatureFunctionAggregationFunction

(AggregationFunction) - An aggregation function applied over a time window

ExtraParameters List<GetFeatureEngineeringFeatureFunctionExtraParameter>

(list of FunctionExtraParameter, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. Extra parameters for parameterized functions

FunctionType string

(string, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. The type of the function. Possible values are: APPROX_COUNT_DISTINCT, APPROX_PERCENTILE, AVG, COUNT, FIRST, LAST, MAX, MIN, STDDEV_POP, STDDEV_SAMP, SUM, VAR_POP, VAR_SAMP

AggregationFunction GetFeatureEngineeringFeatureFunctionAggregationFunction

(AggregationFunction) - An aggregation function applied over a time window

ExtraParameters []GetFeatureEngineeringFeatureFunctionExtraParameter

(list of FunctionExtraParameter, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. Extra parameters for parameterized functions

FunctionType string

(string, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. The type of the function. Possible values are: APPROX_COUNT_DISTINCT, APPROX_PERCENTILE, AVG, COUNT, FIRST, LAST, MAX, MIN, STDDEV_POP, STDDEV_SAMP, SUM, VAR_POP, VAR_SAMP

aggregationFunction GetFeatureEngineeringFeatureFunctionAggregationFunction

(AggregationFunction) - An aggregation function applied over a time window

extraParameters List<GetFeatureEngineeringFeatureFunctionExtraParameter>

(list of FunctionExtraParameter, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. Extra parameters for parameterized functions

functionType String

(string, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. The type of the function. Possible values are: APPROX_COUNT_DISTINCT, APPROX_PERCENTILE, AVG, COUNT, FIRST, LAST, MAX, MIN, STDDEV_POP, STDDEV_SAMP, SUM, VAR_POP, VAR_SAMP

aggregationFunction GetFeatureEngineeringFeatureFunctionAggregationFunction

(AggregationFunction) - An aggregation function applied over a time window

extraParameters GetFeatureEngineeringFeatureFunctionExtraParameter[]

(list of FunctionExtraParameter, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. Extra parameters for parameterized functions

functionType string

(string, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. The type of the function. Possible values are: APPROX_COUNT_DISTINCT, APPROX_PERCENTILE, AVG, COUNT, FIRST, LAST, MAX, MIN, STDDEV_POP, STDDEV_SAMP, SUM, VAR_POP, VAR_SAMP

aggregation_function GetFeatureEngineeringFeatureFunctionAggregationFunction

(AggregationFunction) - An aggregation function applied over a time window

extra_parameters Sequence[GetFeatureEngineeringFeatureFunctionExtraParameter]

(list of FunctionExtraParameter, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. Extra parameters for parameterized functions

function_type str

(string, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. The type of the function. Possible values are: APPROX_COUNT_DISTINCT, APPROX_PERCENTILE, AVG, COUNT, FIRST, LAST, MAX, MIN, STDDEV_POP, STDDEV_SAMP, SUM, VAR_POP, VAR_SAMP

aggregationFunction Property Map

(AggregationFunction) - An aggregation function applied over a time window

extraParameters List<Property Map>

(list of FunctionExtraParameter, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. Extra parameters for parameterized functions

functionType String

(string, deprecated) - Deprecated: Use the function oneof with AggregationFunction instead. Kept for backwards compatibility. The type of the function. Possible values are: APPROX_COUNT_DISTINCT, APPROX_PERCENTILE, AVG, COUNT, FIRST, LAST, MAX, MIN, STDDEV_POP, STDDEV_SAMP, SUM, VAR_POP, VAR_SAMP

ApproxCountDistinct GetFeatureEngineeringFeatureFunctionAggregationFunctionApproxCountDistinct

(ApproxCountDistinctFunction)

ApproxPercentile GetFeatureEngineeringFeatureFunctionAggregationFunctionApproxPercentile

(ApproxPercentileFunction)

Avg GetFeatureEngineeringFeatureFunctionAggregationFunctionAvg

(AvgFunction)

CountFunction GetFeatureEngineeringFeatureFunctionAggregationFunctionCountFunction

(CountFunction)

First GetFeatureEngineeringFeatureFunctionAggregationFunctionFirst

(FirstFunction)

Last GetFeatureEngineeringFeatureFunctionAggregationFunctionLast

(LastFunction)

Max GetFeatureEngineeringFeatureFunctionAggregationFunctionMax

(MaxFunction)

Min GetFeatureEngineeringFeatureFunctionAggregationFunctionMin

(MinFunction)

StddevPop GetFeatureEngineeringFeatureFunctionAggregationFunctionStddevPop

(StddevPopFunction)

StddevSamp GetFeatureEngineeringFeatureFunctionAggregationFunctionStddevSamp

(StddevSampFunction)

Sum GetFeatureEngineeringFeatureFunctionAggregationFunctionSum

(SumFunction)

TimeWindow GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

VarPop GetFeatureEngineeringFeatureFunctionAggregationFunctionVarPop

(VarPopFunction)

VarSamp GetFeatureEngineeringFeatureFunctionAggregationFunctionVarSamp

(VarSampFunction)

ApproxCountDistinct GetFeatureEngineeringFeatureFunctionAggregationFunctionApproxCountDistinct

(ApproxCountDistinctFunction)

ApproxPercentile GetFeatureEngineeringFeatureFunctionAggregationFunctionApproxPercentile

(ApproxPercentileFunction)

Avg GetFeatureEngineeringFeatureFunctionAggregationFunctionAvg

(AvgFunction)

CountFunction GetFeatureEngineeringFeatureFunctionAggregationFunctionCountFunction

(CountFunction)

First GetFeatureEngineeringFeatureFunctionAggregationFunctionFirst

(FirstFunction)

Last GetFeatureEngineeringFeatureFunctionAggregationFunctionLast

(LastFunction)

Max GetFeatureEngineeringFeatureFunctionAggregationFunctionMax

(MaxFunction)

Min GetFeatureEngineeringFeatureFunctionAggregationFunctionMin

(MinFunction)

StddevPop GetFeatureEngineeringFeatureFunctionAggregationFunctionStddevPop

(StddevPopFunction)

StddevSamp GetFeatureEngineeringFeatureFunctionAggregationFunctionStddevSamp

(StddevSampFunction)

Sum GetFeatureEngineeringFeatureFunctionAggregationFunctionSum

(SumFunction)

TimeWindow GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

VarPop GetFeatureEngineeringFeatureFunctionAggregationFunctionVarPop

(VarPopFunction)

VarSamp GetFeatureEngineeringFeatureFunctionAggregationFunctionVarSamp

(VarSampFunction)

approxCountDistinct GetFeatureEngineeringFeatureFunctionAggregationFunctionApproxCountDistinct

(ApproxCountDistinctFunction)

approxPercentile GetFeatureEngineeringFeatureFunctionAggregationFunctionApproxPercentile

(ApproxPercentileFunction)

avg GetFeatureEngineeringFeatureFunctionAggregationFunctionAvg

(AvgFunction)

countFunction GetFeatureEngineeringFeatureFunctionAggregationFunctionCountFunction

(CountFunction)

first GetFeatureEngineeringFeatureFunctionAggregationFunctionFirst

(FirstFunction)

last GetFeatureEngineeringFeatureFunctionAggregationFunctionLast

(LastFunction)

max GetFeatureEngineeringFeatureFunctionAggregationFunctionMax

(MaxFunction)

min GetFeatureEngineeringFeatureFunctionAggregationFunctionMin

(MinFunction)

stddevPop GetFeatureEngineeringFeatureFunctionAggregationFunctionStddevPop

(StddevPopFunction)

stddevSamp GetFeatureEngineeringFeatureFunctionAggregationFunctionStddevSamp

(StddevSampFunction)

sum GetFeatureEngineeringFeatureFunctionAggregationFunctionSum

(SumFunction)

timeWindow GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

varPop GetFeatureEngineeringFeatureFunctionAggregationFunctionVarPop

(VarPopFunction)

varSamp GetFeatureEngineeringFeatureFunctionAggregationFunctionVarSamp

(VarSampFunction)

approxCountDistinct GetFeatureEngineeringFeatureFunctionAggregationFunctionApproxCountDistinct

(ApproxCountDistinctFunction)

approxPercentile GetFeatureEngineeringFeatureFunctionAggregationFunctionApproxPercentile

(ApproxPercentileFunction)

avg GetFeatureEngineeringFeatureFunctionAggregationFunctionAvg

(AvgFunction)

countFunction GetFeatureEngineeringFeatureFunctionAggregationFunctionCountFunction

(CountFunction)

first GetFeatureEngineeringFeatureFunctionAggregationFunctionFirst

(FirstFunction)

last GetFeatureEngineeringFeatureFunctionAggregationFunctionLast

(LastFunction)

max GetFeatureEngineeringFeatureFunctionAggregationFunctionMax

(MaxFunction)

min GetFeatureEngineeringFeatureFunctionAggregationFunctionMin

(MinFunction)

stddevPop GetFeatureEngineeringFeatureFunctionAggregationFunctionStddevPop

(StddevPopFunction)

stddevSamp GetFeatureEngineeringFeatureFunctionAggregationFunctionStddevSamp

(StddevSampFunction)

sum GetFeatureEngineeringFeatureFunctionAggregationFunctionSum

(SumFunction)

timeWindow GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

varPop GetFeatureEngineeringFeatureFunctionAggregationFunctionVarPop

(VarPopFunction)

varSamp GetFeatureEngineeringFeatureFunctionAggregationFunctionVarSamp

(VarSampFunction)

approx_count_distinct GetFeatureEngineeringFeatureFunctionAggregationFunctionApproxCountDistinct

(ApproxCountDistinctFunction)

approx_percentile GetFeatureEngineeringFeatureFunctionAggregationFunctionApproxPercentile

(ApproxPercentileFunction)

avg GetFeatureEngineeringFeatureFunctionAggregationFunctionAvg

(AvgFunction)

count_function GetFeatureEngineeringFeatureFunctionAggregationFunctionCountFunction

(CountFunction)

first GetFeatureEngineeringFeatureFunctionAggregationFunctionFirst

(FirstFunction)

last GetFeatureEngineeringFeatureFunctionAggregationFunctionLast

(LastFunction)

max GetFeatureEngineeringFeatureFunctionAggregationFunctionMax

(MaxFunction)

min GetFeatureEngineeringFeatureFunctionAggregationFunctionMin

(MinFunction)

stddev_pop GetFeatureEngineeringFeatureFunctionAggregationFunctionStddevPop

(StddevPopFunction)

stddev_samp GetFeatureEngineeringFeatureFunctionAggregationFunctionStddevSamp

(StddevSampFunction)

sum GetFeatureEngineeringFeatureFunctionAggregationFunctionSum

(SumFunction)

time_window GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindow

(TimeWindow) - The time window over which the aggregation is computed

var_pop GetFeatureEngineeringFeatureFunctionAggregationFunctionVarPop

(VarPopFunction)

var_samp GetFeatureEngineeringFeatureFunctionAggregationFunctionVarSamp

(VarSampFunction)

approxCountDistinct Property Map

(ApproxCountDistinctFunction)

approxPercentile Property Map

(ApproxPercentileFunction)

avg Property Map

(AvgFunction)

countFunction Property Map

(CountFunction)

first Property Map

(FirstFunction)

last Property Map

(LastFunction)

max Property Map

(MaxFunction)

min Property Map

(MinFunction)

stddevPop Property Map

(StddevPopFunction)

stddevSamp Property Map

(StddevSampFunction)

sum Property Map

(SumFunction)

timeWindow Property Map

(TimeWindow) - The time window over which the aggregation is computed

varPop Property Map

(VarPopFunction)

varSamp Property Map

(VarSampFunction)

Input string

(string) - The input column from which the sample variance is computed

RelativeSd double

(number) - The maximum relative standard deviation allowed (default defined by Spark)

Input string

(string) - The input column from which the sample variance is computed

RelativeSd float64

(number) - The maximum relative standard deviation allowed (default defined by Spark)

input String

(string) - The input column from which the sample variance is computed

relativeSd Double

(number) - The maximum relative standard deviation allowed (default defined by Spark)

input string

(string) - The input column from which the sample variance is computed

relativeSd number

(number) - The maximum relative standard deviation allowed (default defined by Spark)

input str

(string) - The input column from which the sample variance is computed

relative_sd float

(number) - The maximum relative standard deviation allowed (default defined by Spark)

input String

(string) - The input column from which the sample variance is computed

relativeSd Number

(number) - The maximum relative standard deviation allowed (default defined by Spark)

Input string

(string) - The input column from which the sample variance is computed

Percentile double

(number) - The percentile value to compute (between 0 and 1)

Accuracy int

(integer) - The accuracy parameter (higher is more accurate but slower)

Input string

(string) - The input column from which the sample variance is computed

Percentile float64

(number) - The percentile value to compute (between 0 and 1)

Accuracy int

(integer) - The accuracy parameter (higher is more accurate but slower)

input String

(string) - The input column from which the sample variance is computed

percentile Double

(number) - The percentile value to compute (between 0 and 1)

accuracy Integer

(integer) - The accuracy parameter (higher is more accurate but slower)

input string

(string) - The input column from which the sample variance is computed

percentile number

(number) - The percentile value to compute (between 0 and 1)

accuracy number

(integer) - The accuracy parameter (higher is more accurate but slower)

input str

(string) - The input column from which the sample variance is computed

percentile float

(number) - The percentile value to compute (between 0 and 1)

accuracy int

(integer) - The accuracy parameter (higher is more accurate but slower)

input String

(string) - The input column from which the sample variance is computed

percentile Number

(number) - The percentile value to compute (between 0 and 1)

accuracy Number

(integer) - The accuracy parameter (higher is more accurate but slower)

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Continuous GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowContinuous

(ContinuousWindow)

Sliding GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowSliding

(SlidingWindow)

Tumbling GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowTumbling

(TumblingWindow)

Continuous GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowContinuous

(ContinuousWindow)

Sliding GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowSliding

(SlidingWindow)

Tumbling GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowTumbling

(TumblingWindow)

continuous GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowContinuous

(ContinuousWindow)

sliding GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowSliding

(SlidingWindow)

tumbling GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowTumbling

(TumblingWindow)

continuous GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowContinuous

(ContinuousWindow)

sliding GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowSliding

(SlidingWindow)

tumbling GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowTumbling

(TumblingWindow)

continuous GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowContinuous

(ContinuousWindow)

sliding GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowSliding

(SlidingWindow)

tumbling GetFeatureEngineeringFeatureFunctionAggregationFunctionTimeWindowTumbling

(TumblingWindow)

continuous Property Map

(ContinuousWindow)

sliding Property Map

(SlidingWindow)

tumbling Property Map

(TumblingWindow)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

Offset string

(string) - The offset of the continuous window (must be non-positive)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

Offset string

(string) - The offset of the continuous window (must be non-positive)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

offset String

(string) - The offset of the continuous window (must be non-positive)

windowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

offset string

(string) - The offset of the continuous window (must be non-positive)

window_duration str

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

offset str

(string) - The offset of the continuous window (must be non-positive)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

offset String

(string) - The offset of the continuous window (must be non-positive)

SlideDuration string

(string) - The slide duration (interval by which windows advance, must be positive and less than duration)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

SlideDuration string

(string) - The slide duration (interval by which windows advance, must be positive and less than duration)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

slideDuration String

(string) - The slide duration (interval by which windows advance, must be positive and less than duration)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

slideDuration string

(string) - The slide duration (interval by which windows advance, must be positive and less than duration)

windowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

slide_duration str

(string) - The slide duration (interval by which windows advance, must be positive and less than duration)

window_duration str

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

slideDuration String

(string) - The slide duration (interval by which windows advance, must be positive and less than duration)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

windowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

window_duration str

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

Input string

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

input string

(string) - The input column from which the sample variance is computed

input str

(string) - The input column from which the sample variance is computed

input String

(string) - The input column from which the sample variance is computed

Key string

(string) - The name of the parameter

Value string

(string) - The value of the parameter

Key string

(string) - The name of the parameter

Value string

(string) - The value of the parameter

key String

(string) - The name of the parameter

value String

(string) - The value of the parameter

key string

(string) - The name of the parameter

value string

(string) - The value of the parameter

key str

(string) - The name of the parameter

value str

(string) - The value of the parameter

key String

(string) - The name of the parameter

value String

(string) - The value of the parameter

JobContext GetFeatureEngineeringFeatureLineageContextJobContext

(JobContext) - Job context information including job ID and run ID

NotebookId int

(integer) - The notebook ID where this API was invoked

JobContext GetFeatureEngineeringFeatureLineageContextJobContext

(JobContext) - Job context information including job ID and run ID

NotebookId int

(integer) - The notebook ID where this API was invoked

jobContext GetFeatureEngineeringFeatureLineageContextJobContext

(JobContext) - Job context information including job ID and run ID

notebookId Integer

(integer) - The notebook ID where this API was invoked

jobContext GetFeatureEngineeringFeatureLineageContextJobContext

(JobContext) - Job context information including job ID and run ID

notebookId number

(integer) - The notebook ID where this API was invoked

job_context GetFeatureEngineeringFeatureLineageContextJobContext

(JobContext) - Job context information including job ID and run ID

notebook_id int

(integer) - The notebook ID where this API was invoked

jobContext Property Map

(JobContext) - Job context information including job ID and run ID

notebookId Number

(integer) - The notebook ID where this API was invoked

JobId int

(integer) - The job ID where this API invoked

JobRunId int

(integer) - The job run ID where this API was invoked

JobId int

(integer) - The job ID where this API invoked

JobRunId int

(integer) - The job run ID where this API was invoked

jobId Integer

(integer) - The job ID where this API invoked

jobRunId Integer

(integer) - The job run ID where this API was invoked

jobId number

(integer) - The job ID where this API invoked

jobRunId number

(integer) - The job run ID where this API was invoked

job_id int

(integer) - The job ID where this API invoked

job_run_id int

(integer) - The job run ID where this API was invoked

jobId Number

(integer) - The job ID where this API invoked

jobRunId Number

(integer) - The job run ID where this API was invoked

WorkspaceId string

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

WorkspaceId string

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

workspaceId String

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

workspaceId string

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

workspace_id str

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

workspaceId String

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

DeltaTableSource GetFeatureEngineeringFeatureSourceDeltaTableSource

(DeltaTableSource)

KafkaSource GetFeatureEngineeringFeatureSourceKafkaSource

(KafkaSource)

DeltaTableSource GetFeatureEngineeringFeatureSourceDeltaTableSource

(DeltaTableSource)

KafkaSource GetFeatureEngineeringFeatureSourceKafkaSource

(KafkaSource)

deltaTableSource GetFeatureEngineeringFeatureSourceDeltaTableSource

(DeltaTableSource)

kafkaSource GetFeatureEngineeringFeatureSourceKafkaSource

(KafkaSource)

deltaTableSource GetFeatureEngineeringFeatureSourceDeltaTableSource

(DeltaTableSource)

kafkaSource GetFeatureEngineeringFeatureSourceKafkaSource

(KafkaSource)

delta_table_source GetFeatureEngineeringFeatureSourceDeltaTableSource

(DeltaTableSource)

kafka_source GetFeatureEngineeringFeatureSourceKafkaSource

(KafkaSource)

deltaTableSource Property Map

(DeltaTableSource)

kafkaSource Property Map

(KafkaSource)

FullName string

The full three-part name (catalog, schema, name) of the feature

DataframeSchema string

(string) - Schema of the resulting dataframe after transformations, in Spark StructType JSON format (from df.schema.json()). Required if transformation_sql is specified. Example: {"type":"struct","fields":[{"name":<span pulumi-lang-nodejs=""colA"" pulumi-lang-dotnet=""ColA"" pulumi-lang-go=""colA"" pulumi-lang-python=""col_a"" pulumi-lang-yaml=""colA"" pulumi-lang-java=""colA"">"col_a","type":"integer","nullable":true,"metadata":{}},{"name":<span pulumi-lang-nodejs=""colC"" pulumi-lang-dotnet=""ColC"" pulumi-lang-go=""colC"" pulumi-lang-python=""col_c"" pulumi-lang-yaml=""colC"" pulumi-lang-java=""colC"">"col_c","type":"integer","nullable":true,"metadata":{}}]}

EntityColumns List<string>

(list of string, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity columns of the Delta table

FilterCondition string

(string) - The filter condition applied to the source data before aggregation

TimeseriesColumn string

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

TransformationSql string

(string) - A single SQL SELECT expression applied after filter_condition. Should contains all the columns needed (eg. "SELECT , col_a + col_b AS col_c FROM x.y.z WHERE col_a > 0" would have transformation_sql ", col_a + col_b AS<span pulumi-lang-nodejs=" colC"" pulumi-lang-dotnet=" ColC"" pulumi-lang-go=" colC"" pulumi-lang-python=" col_c"" pulumi-lang-yaml=" colC"" pulumi-lang-java=" colC""> col_c") If transformation_sql is not provided, all columns of the delta table are present in the DataSource dataframe

FullName string

The full three-part name (catalog, schema, name) of the feature

DataframeSchema string

(string) - Schema of the resulting dataframe after transformations, in Spark StructType JSON format (from df.schema.json()). Required if transformation_sql is specified. Example: {"type":"struct","fields":[{"name":<span pulumi-lang-nodejs=""colA"" pulumi-lang-dotnet=""ColA"" pulumi-lang-go=""colA"" pulumi-lang-python=""col_a"" pulumi-lang-yaml=""colA"" pulumi-lang-java=""colA"">"col_a","type":"integer","nullable":true,"metadata":{}},{"name":<span pulumi-lang-nodejs=""colC"" pulumi-lang-dotnet=""ColC"" pulumi-lang-go=""colC"" pulumi-lang-python=""col_c"" pulumi-lang-yaml=""colC"" pulumi-lang-java=""colC"">"col_c","type":"integer","nullable":true,"metadata":{}}]}

EntityColumns []string

(list of string, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity columns of the Delta table

FilterCondition string

(string) - The filter condition applied to the source data before aggregation

TimeseriesColumn string

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

TransformationSql string

(string) - A single SQL SELECT expression applied after filter_condition. Should contains all the columns needed (eg. "SELECT , col_a + col_b AS col_c FROM x.y.z WHERE col_a > 0" would have transformation_sql ", col_a + col_b AS<span pulumi-lang-nodejs=" colC"" pulumi-lang-dotnet=" ColC"" pulumi-lang-go=" colC"" pulumi-lang-python=" col_c"" pulumi-lang-yaml=" colC"" pulumi-lang-java=" colC""> col_c") If transformation_sql is not provided, all columns of the delta table are present in the DataSource dataframe

fullName String

The full three-part name (catalog, schema, name) of the feature

dataframeSchema String

(string) - Schema of the resulting dataframe after transformations, in Spark StructType JSON format (from df.schema.json()). Required if transformation_sql is specified. Example: {"type":"struct","fields":[{"name":<span pulumi-lang-nodejs=""colA"" pulumi-lang-dotnet=""ColA"" pulumi-lang-go=""colA"" pulumi-lang-python=""col_a"" pulumi-lang-yaml=""colA"" pulumi-lang-java=""colA"">"col_a","type":"integer","nullable":true,"metadata":{}},{"name":<span pulumi-lang-nodejs=""colC"" pulumi-lang-dotnet=""ColC"" pulumi-lang-go=""colC"" pulumi-lang-python=""col_c"" pulumi-lang-yaml=""colC"" pulumi-lang-java=""colC"">"col_c","type":"integer","nullable":true,"metadata":{}}]}

entityColumns List<String>

(list of string, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity columns of the Delta table

filterCondition String

(string) - The filter condition applied to the source data before aggregation

timeseriesColumn String

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

transformationSql String

(string) - A single SQL SELECT expression applied after filter_condition. Should contains all the columns needed (eg. "SELECT , col_a + col_b AS col_c FROM x.y.z WHERE col_a > 0" would have transformation_sql ", col_a + col_b AS<span pulumi-lang-nodejs=" colC"" pulumi-lang-dotnet=" ColC"" pulumi-lang-go=" colC"" pulumi-lang-python=" col_c"" pulumi-lang-yaml=" colC"" pulumi-lang-java=" colC""> col_c") If transformation_sql is not provided, all columns of the delta table are present in the DataSource dataframe

fullName string

The full three-part name (catalog, schema, name) of the feature

dataframeSchema string

(string) - Schema of the resulting dataframe after transformations, in Spark StructType JSON format (from df.schema.json()). Required if transformation_sql is specified. Example: {"type":"struct","fields":[{"name":<span pulumi-lang-nodejs=""colA"" pulumi-lang-dotnet=""ColA"" pulumi-lang-go=""colA"" pulumi-lang-python=""col_a"" pulumi-lang-yaml=""colA"" pulumi-lang-java=""colA"">"col_a","type":"integer","nullable":true,"metadata":{}},{"name":<span pulumi-lang-nodejs=""colC"" pulumi-lang-dotnet=""ColC"" pulumi-lang-go=""colC"" pulumi-lang-python=""col_c"" pulumi-lang-yaml=""colC"" pulumi-lang-java=""colC"">"col_c","type":"integer","nullable":true,"metadata":{}}]}

entityColumns string[]

(list of string, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity columns of the Delta table

filterCondition string

(string) - The filter condition applied to the source data before aggregation

timeseriesColumn string

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

transformationSql string

(string) - A single SQL SELECT expression applied after filter_condition. Should contains all the columns needed (eg. "SELECT , col_a + col_b AS col_c FROM x.y.z WHERE col_a > 0" would have transformation_sql ", col_a + col_b AS<span pulumi-lang-nodejs=" colC"" pulumi-lang-dotnet=" ColC"" pulumi-lang-go=" colC"" pulumi-lang-python=" col_c"" pulumi-lang-yaml=" colC"" pulumi-lang-java=" colC""> col_c") If transformation_sql is not provided, all columns of the delta table are present in the DataSource dataframe

full_name str

The full three-part name (catalog, schema, name) of the feature

dataframe_schema str

(string) - Schema of the resulting dataframe after transformations, in Spark StructType JSON format (from df.schema.json()). Required if transformation_sql is specified. Example: {"type":"struct","fields":[{"name":<span pulumi-lang-nodejs=""colA"" pulumi-lang-dotnet=""ColA"" pulumi-lang-go=""colA"" pulumi-lang-python=""col_a"" pulumi-lang-yaml=""colA"" pulumi-lang-java=""colA"">"col_a","type":"integer","nullable":true,"metadata":{}},{"name":<span pulumi-lang-nodejs=""colC"" pulumi-lang-dotnet=""ColC"" pulumi-lang-go=""colC"" pulumi-lang-python=""col_c"" pulumi-lang-yaml=""colC"" pulumi-lang-java=""colC"">"col_c","type":"integer","nullable":true,"metadata":{}}]}

entity_columns Sequence[str]

(list of string, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity columns of the Delta table

filter_condition str

(string) - The filter condition applied to the source data before aggregation

timeseries_column str

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

transformation_sql str

(string) - A single SQL SELECT expression applied after filter_condition. Should contains all the columns needed (eg. "SELECT , col_a + col_b AS col_c FROM x.y.z WHERE col_a > 0" would have transformation_sql ", col_a + col_b AS<span pulumi-lang-nodejs=" colC"" pulumi-lang-dotnet=" ColC"" pulumi-lang-go=" colC"" pulumi-lang-python=" col_c"" pulumi-lang-yaml=" colC"" pulumi-lang-java=" colC""> col_c") If transformation_sql is not provided, all columns of the delta table are present in the DataSource dataframe

fullName String

The full three-part name (catalog, schema, name) of the feature

dataframeSchema String

(string) - Schema of the resulting dataframe after transformations, in Spark StructType JSON format (from df.schema.json()). Required if transformation_sql is specified. Example: {"type":"struct","fields":[{"name":<span pulumi-lang-nodejs=""colA"" pulumi-lang-dotnet=""ColA"" pulumi-lang-go=""colA"" pulumi-lang-python=""col_a"" pulumi-lang-yaml=""colA"" pulumi-lang-java=""colA"">"col_a","type":"integer","nullable":true,"metadata":{}},{"name":<span pulumi-lang-nodejs=""colC"" pulumi-lang-dotnet=""ColC"" pulumi-lang-go=""colC"" pulumi-lang-python=""col_c"" pulumi-lang-yaml=""colC"" pulumi-lang-java=""colC"">"col_c","type":"integer","nullable":true,"metadata":{}}]}

entityColumns List<String>

(list of string, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity columns of the Delta table

filterCondition String

(string) - The filter condition applied to the source data before aggregation

timeseriesColumn String

(string, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column of the Delta table

transformationSql String

(string) - A single SQL SELECT expression applied after filter_condition. Should contains all the columns needed (eg. "SELECT , col_a + col_b AS col_c FROM x.y.z WHERE col_a > 0" would have transformation_sql ", col_a + col_b AS<span pulumi-lang-nodejs=" colC"" pulumi-lang-dotnet=" ColC"" pulumi-lang-go=" colC"" pulumi-lang-python=" col_c"" pulumi-lang-yaml=" colC"" pulumi-lang-java=" colC""> col_c") If transformation_sql is not provided, all columns of the delta table are present in the DataSource dataframe

Name string

(string) - The name of the timeseries column

EntityColumnIdentifiers List<GetFeatureEngineeringFeatureSourceKafkaSourceEntityColumnIdentifier>

(list of ColumnIdentifier, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity column identifiers of the Kafka source

FilterCondition string

(string) - The filter condition applied to the source data before aggregation

TimeseriesColumnIdentifier GetFeatureEngineeringFeatureSourceKafkaSourceTimeseriesColumnIdentifier

(ColumnIdentifier, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column identifier of the Kafka source

Name string

(string) - The name of the timeseries column

EntityColumnIdentifiers []GetFeatureEngineeringFeatureSourceKafkaSourceEntityColumnIdentifier

(list of ColumnIdentifier, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity column identifiers of the Kafka source

FilterCondition string

(string) - The filter condition applied to the source data before aggregation

TimeseriesColumnIdentifier GetFeatureEngineeringFeatureSourceKafkaSourceTimeseriesColumnIdentifier

(ColumnIdentifier, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column identifier of the Kafka source

name String

(string) - The name of the timeseries column

entityColumnIdentifiers List<GetFeatureEngineeringFeatureSourceKafkaSourceEntityColumnIdentifier>

(list of ColumnIdentifier, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity column identifiers of the Kafka source

filterCondition String

(string) - The filter condition applied to the source data before aggregation

timeseriesColumnIdentifier GetFeatureEngineeringFeatureSourceKafkaSourceTimeseriesColumnIdentifier

(ColumnIdentifier, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column identifier of the Kafka source

name string

(string) - The name of the timeseries column

entityColumnIdentifiers GetFeatureEngineeringFeatureSourceKafkaSourceEntityColumnIdentifier[]

(list of ColumnIdentifier, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity column identifiers of the Kafka source

filterCondition string

(string) - The filter condition applied to the source data before aggregation

timeseriesColumnIdentifier GetFeatureEngineeringFeatureSourceKafkaSourceTimeseriesColumnIdentifier

(ColumnIdentifier, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column identifier of the Kafka source

name str

(string) - The name of the timeseries column

entity_column_identifiers Sequence[GetFeatureEngineeringFeatureSourceKafkaSourceEntityColumnIdentifier]

(list of ColumnIdentifier, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity column identifiers of the Kafka source

filter_condition str

(string) - The filter condition applied to the source data before aggregation

timeseries_column_identifier GetFeatureEngineeringFeatureSourceKafkaSourceTimeseriesColumnIdentifier

(ColumnIdentifier, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column identifier of the Kafka source

name String

(string) - The name of the timeseries column

entityColumnIdentifiers List<Property Map>

(list of ColumnIdentifier, deprecated) - Deprecated: Use Feature.entity instead. Kept for backwards compatibility. The entity column identifiers of the Kafka source

filterCondition String

(string) - The filter condition applied to the source data before aggregation

timeseriesColumnIdentifier Property Map

(ColumnIdentifier, deprecated) - Deprecated: Use Feature.timeseries_column instead. Kept for backwards compatibility. The timeseries column identifier of the Kafka source

VariantExprPath string

(string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip

VariantExprPath string

(string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip

variantExprPath String

(string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip

variantExprPath string

(string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip

variant_expr_path str

(string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip

variantExprPath String

(string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip

VariantExprPath string

(string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip

VariantExprPath string

(string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip

variantExprPath String

(string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip

variantExprPath string

(string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip

variant_expr_path str

(string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip

variantExprPath String

(string) - String representation of the column name or variant expression path. For nested fields, the leaf value is what will be present in materialized tables and expected to match at query time. For example, the leaf node of value:trip_details.location_details.pickup_zip is pickup_zip

Continuous GetFeatureEngineeringFeatureTimeWindowContinuous

(ContinuousWindow)

Sliding GetFeatureEngineeringFeatureTimeWindowSliding

(SlidingWindow)

Tumbling GetFeatureEngineeringFeatureTimeWindowTumbling

(TumblingWindow)

Continuous GetFeatureEngineeringFeatureTimeWindowContinuous

(ContinuousWindow)

Sliding GetFeatureEngineeringFeatureTimeWindowSliding

(SlidingWindow)

Tumbling GetFeatureEngineeringFeatureTimeWindowTumbling

(TumblingWindow)

continuous GetFeatureEngineeringFeatureTimeWindowContinuous

(ContinuousWindow)

sliding GetFeatureEngineeringFeatureTimeWindowSliding

(SlidingWindow)

tumbling GetFeatureEngineeringFeatureTimeWindowTumbling

(TumblingWindow)

continuous GetFeatureEngineeringFeatureTimeWindowContinuous

(ContinuousWindow)

sliding GetFeatureEngineeringFeatureTimeWindowSliding

(SlidingWindow)

tumbling GetFeatureEngineeringFeatureTimeWindowTumbling

(TumblingWindow)

continuous GetFeatureEngineeringFeatureTimeWindowContinuous

(ContinuousWindow)

sliding GetFeatureEngineeringFeatureTimeWindowSliding

(SlidingWindow)

tumbling GetFeatureEngineeringFeatureTimeWindowTumbling

(TumblingWindow)

continuous Property Map

(ContinuousWindow)

sliding Property Map

(SlidingWindow)

tumbling Property Map

(TumblingWindow)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

Offset string

(string) - The offset of the continuous window (must be non-positive)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

Offset string

(string) - The offset of the continuous window (must be non-positive)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

offset String

(string) - The offset of the continuous window (must be non-positive)

windowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

offset string

(string) - The offset of the continuous window (must be non-positive)

window_duration str

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

offset str

(string) - The offset of the continuous window (must be non-positive)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

offset String

(string) - The offset of the continuous window (must be non-positive)

SlideDuration string

(string) - The slide duration (interval by which windows advance, must be positive and less than duration)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

SlideDuration string

(string) - The slide duration (interval by which windows advance, must be positive and less than duration)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

slideDuration String

(string) - The slide duration (interval by which windows advance, must be positive and less than duration)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

slideDuration string

(string) - The slide duration (interval by which windows advance, must be positive and less than duration)

windowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

slide_duration str

(string) - The slide duration (interval by which windows advance, must be positive and less than duration)

window_duration str

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

slideDuration String

(string) - The slide duration (interval by which windows advance, must be positive and less than duration)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

WindowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

windowDuration string

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

window_duration str

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

windowDuration String

(string) - The duration of each tumbling window (non-overlapping, fixed-duration windows)

Name string

(string) - The name of the timeseries column

Name string

(string) - The name of the timeseries column

name String

(string) - The name of the timeseries column

name string

(string) - The name of the timeseries column

name str

(string) - The name of the timeseries column

name String

(string) - The name of the timeseries column