Index

A

Aggregator (class in timeseriesflattener.aggregators) aggregators (BooleanOutcomeSpec attribute) (OutcomeSpec attribute) (PredictorSpec attribute)

B

BooleanOutcomeSpec (class in timeseriesflattener.specs.outcome)

C

collect() (PredictionTimeFrame method) (StaticFrame method) (TimestampValueFrame method) column_prefix (BooleanOutcomeSpec attribute) (OutcomeSpec attribute) (PredictorSpec attribute) (StaticSpec attribute) (TimeDeltaSpec attribute)

CountAggregator (class in timeseriesflattener.aggregators)

D

df (BooleanOutcomeSpec property) (OutcomeSpec property) (PredictorSpec property) (TimeDeltaSpec property)

E

EarliestAggregator (class in timeseriesflattener.aggregators) entity_id_col_name (PredictionTimeFrame attribute) (StaticFrame attribute) (TimestampValueFrame attribute)

F

fallback (OutcomeSpec attribute) (PredictorSpec attribute) (StaticSpec attribute) (TimeDeltaSpec attribute)

from_primitives() (BooleanOutcomeSpec static method) (OutcomeSpec static method) (PredictorSpec static method) (StaticSpec static method) (TimeDeltaSpec static method)

H

HasValuesAggregator (class in timeseriesflattener.aggregators)

I

init_df (PredictionTimeFrame attribute) (StaticFrame attribute) (TimestampValueFrame attribute)

init_frame (BooleanOutcomeSpec attribute) (TimeDeltaSpec attribute)

L

LatestAggregator (class in timeseriesflattener.aggregators) lookahead_distances (BooleanOutcomeSpec attribute) (OutcomeSpec attribute)

lookbehind_distances (PredictorSpec attribute)

M

MaxAggregator (class in timeseriesflattener.aggregators) MeanAggregator (class in timeseriesflattener.aggregators) MinAggregator (class in timeseriesflattener.aggregators) module timeseriesflattener timeseriesflattener.aggregators timeseriesflattener.specs.outcome timeseriesflattener.specs.prediction_times timeseriesflattener.specs.static timeseriesflattener.specs.temporal timeseriesflattener.specs.timedelta timeseriesflattener.specs.timestamp

N

name (Aggregator attribute) (CountAggregator attribute) (EarliestAggregator attribute) (HasValuesAggregator attribute) (LatestAggregator attribute) (MaxAggregator attribute) (MeanAggregator attribute) (MinAggregator attribute) (SlopeAggregator attribute) (SumAggregator attribute) (UniqueCountAggregator attribute) (VarianceAggregator attribute)

new_col_name() (Aggregator method)

O

OutcomeSpec (class in timeseriesflattener.specs.outcome) output_name (BooleanOutcomeSpec attribute) (TimeDeltaSpec attribute) output_type (Aggregator attribute) (CountAggregator attribute) (EarliestAggregator attribute) (HasValuesAggregator attribute) (LatestAggregator attribute) (MaxAggregator attribute) (MeanAggregator attribute) (MinAggregator attribute) (SlopeAggregator attribute) (SumAggregator attribute) (UniqueCountAggregator attribute) (VarianceAggregator attribute)

P

prediction_time_uuid_col_name (PredictionTimeFrame attribute)

PredictionTimeFrame (class in timeseriesflattener.specs.prediction_times) PredictorSpec (class in timeseriesflattener.specs.temporal)

R

required_columns() (PredictionTimeFrame method)

S

SlopeAggregator (class in timeseriesflattener.aggregators) StaticFrame (class in timeseriesflattener.specs.static) StaticSpec (class in timeseriesflattener.specs.static)

string_to_aggregator() (in module timeseriesflattener.aggregators) strings_to_aggregators() (in module timeseriesflattener.aggregators) SumAggregator (class in timeseriesflattener.aggregators)

T

time_format (TimeDeltaSpec attribute) TimeDeltaSpec (class in timeseriesflattener.specs.timedelta) timeseriesflattener module timeseriesflattener.aggregators module timeseriesflattener.specs.outcome module timeseriesflattener.specs.prediction_times module timeseriesflattener.specs.static module

timeseriesflattener.specs.temporal module timeseriesflattener.specs.timedelta module timeseriesflattener.specs.timestamp module timestamp_col_name (EarliestAggregator attribute) (LatestAggregator attribute) (PredictionTimeFrame attribute) (SlopeAggregator attribute) TimestampValueFrame (class in timeseriesflattener.specs.timestamp)

U

UniqueCountAggregator (class in timeseriesflattener.aggregators)

V

validate_compatible_fallback_type_for_aggregator() (in module timeseriesflattener.aggregators) value_frame (OutcomeSpec attribute) (PredictorSpec attribute) (StaticSpec attribute)

value_timestamp_col_name (TimestampValueFrame attribute) VarianceAggregator (class in timeseriesflattener.aggregators)