targets
|
field
|
The Streaming Time Series node forecasts one or more targets, optionally using one or more
input fields as predictors. Frequency and weight fields are not used. See the topic Common modeling node properties for more information.
|
candidate_inputs
|
[field1 ... fieldN] |
Input or predictor fields used by the model. |
use_period
|
flag
|
|
date_time_field
|
field
|
|
input_interval
|
None
Unknown
Year
Quarter
Month
Week
Day
Hour
Hour_nonperiod
Minute
Minute_nonperiod
Second
Second_nonperiod |
|
period_field
|
field
|
|
period_start_value
|
integer
|
|
num_days_per_week
|
integer
|
|
start_day_of_week
|
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday |
|
num_hours_per_day
|
integer
|
|
start_hour_of_day
|
integer
|
|
timestamp_increments
|
integer
|
|
cyclic_increments
|
integer
|
|
cyclic_periods
|
list
|
|
output_interval
|
None
Year
Quarter
Month
Week
Day
Hour
Minute
Second |
|
is_same_interval
|
flag
|
|
cross_hour
|
flag
|
|
aggregate_and_distribute
|
list
|
|
aggregate_default
|
Mean
Sum
Mode
Min
Max |
|
distribute_default
|
Mean
Sum |
|
group_default
|
Mean
Sum
Mode
Min
Max |
|
missing_imput
|
Linear_interp
Series_mean
K_mean
K_median
Linear_trend |
|
k_span_points
|
integer
|
|
use_estimation_period
|
flag
|
|
estimation_period
|
Observations
Times
|
|
date_estimation
|
list
|
Only available if you use date_time_field
|
period_estimation
|
list
|
Only available if you use use_period
|
observations_type
|
Latest
Earliest
|
|
observations_num
|
integer
|
|
observations_exclude
|
integer
|
|
method
|
ExpertModeler
Exsmooth
Arima
|
|
expert_modeler_method
|
ExpertModeler
Exsmooth
Arima
|
|
consider_seasonal
|
flag
|
|
detect_outliers
|
flag
|
|
expert_outlier_additive
|
flag
|
|
expert_outlier_level_shift
|
flag
|
|
expert_outlier_innovational
|
flag
|
|
expert_outlier_level_shift
|
flag
|
|
expert_outlier_transient
|
flag
|
|
expert_outlier_seasonal_additive
|
flag
|
|
expert_outlier_local_trend
|
flag
|
|
expert_outlier_additive_patch
|
flag
|
|
consider_newesmodels
|
flag
|
|
exsmooth_model_type
|
Simple
HoltsLinearTrend
BrownsLinearTrend
DampedTrend
SimpleSeasonal
WintersAdditive
WintersMultiplicative
DampedTrendAdditive
DampedTrendMultiplicative
MultiplicativeTrendAdditive
MultiplicativeSeasonal
MultiplicativeTrendMultiplicative
MultiplicativeTrend |
|
futureValue_type_method |
Compute
specify |
|
exsmooth_transformation_type
|
None
SquareRoot
NaturalLog
|
|
arima.p
|
integer
|
|
arima.d
|
integer
|
|
arima.q
|
integer
|
|
arima.sp
|
integer
|
|
arima.sd
|
integer
|
|
arima.sq
|
integer
|
|
arima_transformation_type
|
None
SquareRoot
NaturalLog
|
|
arima_include_constant
|
flag
|
|
tf_arima.p.
fieldname
|
integer
|
For transfer functions. |
tf_arima.d.
fieldname
|
integer
|
For transfer functions. |
tf_arima.q.
fieldname
|
integer
|
For transfer functions. |
tf_arima.sp.
fieldname
|
integer
|
For transfer functions. |
tf_arima.sd.
fieldname
|
integer
|
For transfer functions. |
tf_arima.sq.
fieldname
|
integer
|
For transfer functions. |
tf_arima.delay.
fieldname
|
integer
|
For transfer functions. |
tf_arima.transformation_type.
fieldname
|
None
SquareRoot
NaturalLog
|
For transfer functions. |
arima_detect_outliers
|
flag
|
|
arima_outlier_additive
|
flag
|
|
arima_outlier_level_shift
|
flag
|
|
arima_outlier_innovational
|
flag
|
|
arima_outlier_transient
|
flag
|
|
arima_outlier_seasonal_additive
|
flag
|
|
arima_outlier_local_trend
|
flag
|
|
arima_outlier_additive_patch
|
flag
|
|
conf_limit_pct
|
real
|
|
events
|
fields
|
|
forecastperiods |
integer
|
|
extend_records_into_future |
flag
|
|
conf_limits |
flag
|
|
noise_res |
flag
|
|
