Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
|
W
|
Y
|
Z
A
acf() (in module pyFTS.benchmarks.Measures)
AdaptiveExpectation (class in pyFTS.common.Transformations)
aggregate() (in module pyFTS.common.Transformations)
alpha (pyFTS.common.FuzzySet.FuzzySet attribute)
append() (pyFTS.common.Composite.FuzzySet method)
(pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
append_interval() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
append_rhs() (pyFTS.common.flrg.FLRG method)
(pyFTS.models.multivariate.flrg.FLRG method)
append_set() (pyFTS.common.Composite.FuzzySet method)
appendChild() (pyFTS.common.tree.FLRGTreeNode method)
apply() (pyFTS.common.Transformations.AdaptiveExpectation method)
(pyFTS.common.Transformations.BoxCox method)
(pyFTS.common.Transformations.Differential method)
(pyFTS.common.Transformations.Scale method)
(pyFTS.common.Transformations.Transformation method)
around() (pyFTS.common.SortedCollection.SortedCollection method)
averageloglikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
B
bellmf() (in module pyFTS.common.Membership)
bestSplit() (in module pyFTS.partitioners.Entropy)
between() (pyFTS.common.SortedCollection.SortedCollection method)
bins (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute)
BoxCox (class in pyFTS.common.Transformations)
BoxLjungStatistic() (in module pyFTS.benchmarks.Measures)
BoxPierceStatistic() (in module pyFTS.benchmarks.Measures)
brier_score() (in module pyFTS.benchmarks.Measures)
build() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method)
(pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner method)
(pyFTS.models.seasonal.partitioner.TimeGridPartitioner method)
(pyFTS.partitioners.CMeans.CMeansPartitioner method)
(pyFTS.partitioners.Entropy.EntropyPartitioner method)
(pyFTS.partitioners.FCM.FCMPartitioner method)
(pyFTS.partitioners.Grid.GridPartitioner method)
(pyFTS.partitioners.Huarng.HuarngPartitioner method)
(pyFTS.partitioners.partitioner.Partitioner method)
build_cdf_qtl() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
build_tree_without_order() (in module pyFTS.common.tree)
C
c_means() (in module pyFTS.partitioners.CMeans)
centroid (pyFTS.common.FuzzySet.FuzzySet attribute)
check_bounds() (in module pyFTS.common.FuzzySet)
(in module pyFTS.models.nonstationary.common)
check_bounds_index() (in module pyFTS.common.FuzzySet)
(in module pyFTS.models.nonstationary.common)
clear() (pyFTS.common.SortedCollection.SortedCollection method)
CMeansPartitioner (class in pyFTS.partitioners.CMeans)
copy() (pyFTS.common.SortedCollection.SortedCollection method)
count() (pyFTS.common.SortedCollection.SortedCollection method)
coverage() (in module pyFTS.benchmarks.Measures)
crossentropy() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
crps() (in module pyFTS.benchmarks.Measures)
cummulative() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
D
DataFrameSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)
DateTime (class in pyFTS.models.seasonal.common)
DateTimeSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)
day_of_month (pyFTS.models.seasonal.common.DateTime attribute)
day_of_week (pyFTS.models.seasonal.common.DateTime attribute)
day_of_year (pyFTS.models.seasonal.common.DateTime attribute)
density() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
Differential (class in pyFTS.common.Transformations)
differential_offset() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
distance() (in module pyFTS.partitioners.CMeans)
E
empiricalloglikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
entropy() (in module pyFTS.partitioners.Entropy)
(pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
EntropyPartitioner (class in pyFTS.partitioners.Entropy)
expected_value() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
exponential() (in module pyFTS.models.nonstationary.perturbation)
F
FCMPartitioner (class in pyFTS.partitioners.FCM)
find() (pyFTS.common.SortedCollection.SortedCollection method)
find_ge() (pyFTS.common.SortedCollection.SortedCollection method)
find_gt() (pyFTS.common.SortedCollection.SortedCollection method)
find_le() (pyFTS.common.SortedCollection.SortedCollection method)
find_lt() (pyFTS.common.SortedCollection.SortedCollection method)
flat() (in module pyFTS.common.tree)
FLR (class in pyFTS.common.FLR)
(class in pyFTS.models.multivariate.FLR)
FLRG (class in pyFTS.common.flrg)
(class in pyFTS.models.multivariate.flrg)
FLRGTree (class in pyFTS.common.tree)
FLRGTreeNode (class in pyFTS.common.tree)
fuzzify() (in module pyFTS.models.nonstationary.common)
fuzzy_cmeans() (in module pyFTS.partitioners.FCM)
fuzzy_distance() (in module pyFTS.partitioners.FCM)
fuzzyfy_instance() (in module pyFTS.common.FuzzySet)
(in module pyFTS.models.multivariate.common)
fuzzyfy_instances() (in module pyFTS.common.FuzzySet)
fuzzyfy_series() (in module pyFTS.common.FuzzySet)
fuzzyfy_series_old() (in module pyFTS.common.FuzzySet)
fuzzySeries() (in module pyFTS.models.nonstationary.common)
FuzzySet (class in pyFTS.common.Composite)
(class in pyFTS.common.FuzzySet)
(class in pyFTS.models.nonstationary.common)
(class in pyFTS.models.seasonal.common)
G
gaussmf() (in module pyFTS.common.Membership)
generate_gaussian_linear() (in module pyFTS.data.artificial)
generate_high_order_recurrent_flr() (in module pyFTS.common.FLR)
generate_indexed_flrs() (in module pyFTS.common.FLR)
generate_non_recurrent_flrs() (in module pyFTS.common.FLR)
generate_recurrent_flrs() (in module pyFTS.common.FLR)
generate_uniform_linear() (in module pyFTS.data.artificial)
get_data() (in module pyFTS.data.AirPassengers)
(in module pyFTS.data.Enrollments)
(in module pyFTS.data.NASDAQ)
(in module pyFTS.data.SONDA)
(in module pyFTS.data.SP500)
(in module pyFTS.data.TAIEX)
(in module pyFTS.data.henon)
(in module pyFTS.data.logistic_map)
(in module pyFTS.data.lorentz)
(in module pyFTS.data.mackey_glass)
(in module pyFTS.data.rossler)
(in module pyFTS.data.sunspots)
(pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)
get_data_by_season() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)
get_dataframe() (in module pyFTS.data.AirPassengers)
(in module pyFTS.data.Enrollments)
(in module pyFTS.data.INMET)
(in module pyFTS.data.NASDAQ)
(in module pyFTS.data.SONDA)
(in module pyFTS.data.SP500)
(in module pyFTS.data.TAIEX)
(in module pyFTS.data.common)
(in module pyFTS.data.henon)
(in module pyFTS.data.lorentz)
(in module pyFTS.data.rossler)
(in module pyFTS.data.sunspots)
get_distribution_statistics() (in module pyFTS.benchmarks.Measures)
get_fuzzysets() (in module pyFTS.common.FuzzySet)
get_index() (pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)
get_index_by_season() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)
get_interval_statistics() (in module pyFTS.benchmarks.Measures)
get_key() (pyFTS.common.flrg.FLRG method)
(pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)
get_lower() (pyFTS.common.flrg.FLRG method)
(pyFTS.models.nonstationary.common.FuzzySet method)
(pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)
get_maximum_membership_fuzzyset() (in module pyFTS.common.FuzzySet)
get_maximum_membership_fuzzyset_index() (in module pyFTS.common.FuzzySet)
get_membership() (pyFTS.common.flrg.FLRG method)
(pyFTS.models.multivariate.flrg.FLRG method)
(pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)
get_midpoint() (pyFTS.common.flrg.FLRG method)
(pyFTS.models.nonstationary.common.FuzzySet method)
(pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)
get_midpoints() (pyFTS.common.flrg.FLRG method)
get_name() (pyFTS.partitioners.partitioner.Partitioner method)
get_point_statistics() (in module pyFTS.benchmarks.Measures)
get_polynomial_perturbations() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method)
get_season_by_index() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)
get_season_of_data() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.LinearSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer method)
get_upper() (pyFTS.common.flrg.FLRG method)
(pyFTS.models.nonstationary.common.FuzzySet method)
(pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)
getChildren() (pyFTS.common.tree.FLRGTreeNode method)
getStr() (pyFTS.common.tree.FLRGTreeNode method)
grant_bounds() (in module pyFTS.common.FuzzySet)
GridPartitioner (class in pyFTS.partitioners.Grid)
H
h (pyFTS.probabilistic.kde.KernelSmoothing attribute)
heavyside() (in module pyFTS.benchmarks.Measures)
heavyside_cdf() (in module pyFTS.benchmarks.Measures)
hour (pyFTS.models.seasonal.common.DateTime attribute)
hour_of_day (pyFTS.models.seasonal.common.DateTime attribute)
hour_of_month (pyFTS.models.seasonal.common.DateTime attribute)
hour_of_week (pyFTS.models.seasonal.common.DateTime attribute)
hour_of_year (pyFTS.models.seasonal.common.DateTime attribute)
HuarngPartitioner (class in pyFTS.partitioners.Huarng)
I
index (pyFTS.common.FLR.IndexedFLR attribute)
index() (pyFTS.common.SortedCollection.SortedCollection method)
IndexedFLR (class in pyFTS.common.FLR)
informationGain() (in module pyFTS.partitioners.Entropy)
insert() (pyFTS.common.SortedCollection.SortedCollection method)
insert_right() (pyFTS.common.SortedCollection.SortedCollection method)
inside() (pyFTS.common.SortedCollection.SortedCollection method)
inverse() (pyFTS.common.Transformations.AdaptiveExpectation method)
(pyFTS.common.Transformations.BoxCox method)
(pyFTS.common.Transformations.Differential method)
(pyFTS.common.Transformations.Scale method)
(pyFTS.common.Transformations.Transformation method)
K
kernel (pyFTS.probabilistic.kde.KernelSmoothing attribute)
kernel_function() (pyFTS.probabilistic.kde.KernelSmoothing method)
KernelSmoothing (class in pyFTS.probabilistic.kde)
key (pyFTS.common.SortedCollection.SortedCollection attribute)
kullbackleiblerdivergence() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
L
labels (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute)
LHS (pyFTS.common.FLR.FLR attribute)
(pyFTS.common.flrg.FLRG attribute)
linear() (in module pyFTS.models.nonstationary.perturbation)
LinearSeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)
location (pyFTS.models.nonstationary.common.FuzzySet attribute)
location_params (pyFTS.models.nonstationary.common.FuzzySet attribute)
lower_set() (pyFTS.partitioners.partitioner.Partitioner method)
M
mape() (in module pyFTS.benchmarks.Measures)
mape_interval() (in module pyFTS.benchmarks.Measures)
membership() (in module pyFTS.partitioners.FCM)
(pyFTS.common.Composite.FuzzySet method)
(pyFTS.common.FuzzySet.FuzzySet method)
(pyFTS.models.nonstationary.common.FuzzySet method)
(pyFTS.models.seasonal.common.FuzzySet method)
membership_function (pyFTS.partitioners.partitioner.Partitioner attribute)
mf (pyFTS.common.FuzzySet.FuzzySet attribute)
minute (pyFTS.models.seasonal.common.DateTime attribute)
minute_of_day (pyFTS.models.seasonal.common.DateTime attribute)
minute_of_hour (pyFTS.models.seasonal.common.DateTime attribute)
minute_of_month (pyFTS.models.seasonal.common.DateTime attribute)
minute_of_week (pyFTS.models.seasonal.common.DateTime attribute)
minute_of_year (pyFTS.models.seasonal.common.DateTime attribute)
month (pyFTS.models.seasonal.common.DateTime attribute)
N
name (pyFTS.common.FuzzySet.FuzzySet attribute)
(pyFTS.partitioners.partitioner.Partitioner attribute)
noise (pyFTS.models.nonstationary.common.FuzzySet attribute)
noise_params (pyFTS.models.nonstationary.common.FuzzySet attribute)
NonStationaryFLRG (class in pyFTS.models.nonstationary.flrg)
O
order (pyFTS.common.flrg.FLRG attribute)
P
parameters (pyFTS.common.FuzzySet.FuzzySet attribute)
(pyFTS.common.Transformations.AdaptiveExpectation attribute)
(pyFTS.common.Transformations.BoxCox attribute)
(pyFTS.common.Transformations.Differential attribute)
(pyFTS.common.Transformations.Scale attribute)
partition_function() (pyFTS.common.FuzzySet.FuzzySet method)
Partitioner (class in pyFTS.partitioners.partitioner)
partitions (pyFTS.partitioners.partitioner.Partitioner attribute)
paths() (pyFTS.common.tree.FLRGTreeNode method)
perform_location() (pyFTS.models.nonstationary.common.FuzzySet method)
perform_width() (pyFTS.models.nonstationary.common.FuzzySet method)
periodic() (in module pyFTS.models.nonstationary.perturbation)
perturbate_parameters() (pyFTS.models.nonstationary.common.FuzzySet method)
pinball() (in module pyFTS.benchmarks.Measures)
pinball_mean() (in module pyFTS.benchmarks.Measures)
plot() (pyFTS.models.seasonal.partitioner.TimeGridPartitioner method)
(pyFTS.partitioners.partitioner.Partitioner method)
(pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
plot_set() (pyFTS.partitioners.partitioner.Partitioner method)
PMF() (in module pyFTS.partitioners.Entropy)
pmf_to_cdf() (in module pyFTS.benchmarks.Measures)
poly_width() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method)
polynomial() (in module pyFTS.models.nonstationary.perturbation)
PolynomialNonStationaryPartitioner (class in pyFTS.models.nonstationary.partitioners)
prefix (pyFTS.partitioners.partitioner.Partitioner attribute)
probability() (pyFTS.probabilistic.kde.KernelSmoothing method)
ProbabilityDistribution (class in pyFTS.probabilistic.ProbabilityDistribution)
pseudologlikelihood() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
pyFTS (module)
pyFTS.benchmarks (module)
pyFTS.benchmarks.Measures (module)
pyFTS.common (module)
pyFTS.common.Composite (module)
pyFTS.common.FLR (module)
pyFTS.common.flrg (module)
pyFTS.common.FuzzySet (module)
pyFTS.common.Membership (module)
pyFTS.common.SortedCollection (module)
pyFTS.common.Transformations (module)
pyFTS.common.tree (module)
pyFTS.conf (module)
pyFTS.data (module)
pyFTS.data.AirPassengers (module)
pyFTS.data.artificial (module)
pyFTS.data.common (module)
pyFTS.data.Enrollments (module)
pyFTS.data.henon (module)
pyFTS.data.INMET (module)
pyFTS.data.logistic_map (module)
pyFTS.data.lorentz (module)
pyFTS.data.mackey_glass (module)
pyFTS.data.NASDAQ (module)
pyFTS.data.rossler (module)
pyFTS.data.SONDA (module)
pyFTS.data.SP500 (module)
pyFTS.data.sunspots (module)
pyFTS.data.TAIEX (module)
pyFTS.models (module)
pyFTS.models.ensemble (module)
pyFTS.models.multivariate (module)
pyFTS.models.multivariate.common (module)
pyFTS.models.multivariate.FLR (module)
pyFTS.models.multivariate.flrg (module)
pyFTS.models.nonstationary (module)
pyFTS.models.nonstationary.common (module)
pyFTS.models.nonstationary.flrg (module)
pyFTS.models.nonstationary.partitioners (module)
pyFTS.models.nonstationary.perturbation (module)
pyFTS.models.seasonal (module)
pyFTS.models.seasonal.common (module)
pyFTS.models.seasonal.partitioner (module)
pyFTS.models.seasonal.SeasonalIndexer (module)
pyFTS.partitioners (module)
pyFTS.partitioners.CMeans (module)
pyFTS.partitioners.Entropy (module)
pyFTS.partitioners.FCM (module)
pyFTS.partitioners.Grid (module)
pyFTS.partitioners.Huarng (module)
pyFTS.partitioners.partitioner (module)
pyFTS.probabilistic (module)
pyFTS.probabilistic.kde (module)
pyFTS.probabilistic.ProbabilityDistribution (module)
Q
quantile() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
R
random_walk() (in module pyFTS.data.artificial)
remove() (pyFTS.common.SortedCollection.SortedCollection method)
resolution() (in module pyFTS.benchmarks.Measures)
RHS (pyFTS.common.FLR.FLR attribute)
(pyFTS.common.flrg.FLRG attribute)
rmse() (in module pyFTS.benchmarks.Measures)
rmse_interval() (in module pyFTS.benchmarks.Measures)
roi() (in module pyFTS.common.Transformations)
S
Scale (class in pyFTS.common.Transformations)
scale_down() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method)
scale_up() (pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner method)
SeasonalIndexer (class in pyFTS.models.seasonal.SeasonalIndexer)
second (pyFTS.models.seasonal.common.DateTime attribute)
second_of_day (pyFTS.models.seasonal.common.DateTime attribute)
second_of_hour (pyFTS.models.seasonal.common.DateTime attribute)
second_of_minute (pyFTS.models.seasonal.common.DateTime attribute)
set() (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution method)
set_data() (pyFTS.models.seasonal.SeasonalIndexer.DataFrameSeasonalIndexer method)
(pyFTS.models.seasonal.SeasonalIndexer.DateTimeSeasonalIndexer method)
set_lhs() (pyFTS.models.multivariate.FLR.FLR method)
(pyFTS.models.multivariate.flrg.FLRG method)
set_ordered() (in module pyFTS.common.FuzzySet)
set_rhs() (pyFTS.models.multivariate.FLR.FLR method)
setnames (pyFTS.partitioners.partitioner.Partitioner attribute)
sharpness() (in module pyFTS.benchmarks.Measures)
sigmf() (in module pyFTS.common.Membership)
simplenonstationary_gridpartitioner_builder() (in module pyFTS.models.nonstationary.partitioners)
SimpleNonStationaryPartitioner (class in pyFTS.models.nonstationary.partitioners)
smape() (in module pyFTS.benchmarks.Measures)
smoothing() (in module pyFTS.common.Transformations)
SortedCollection (class in pyFTS.common.SortedCollection)
splitAbove() (in module pyFTS.partitioners.Entropy)
splitBelow() (in module pyFTS.partitioners.Entropy)
strip_datepart() (in module pyFTS.models.seasonal.common)
T
TheilsInequality() (in module pyFTS.benchmarks.Measures)
TimeGridPartitioner (class in pyFTS.models.seasonal.partitioner)
Transformation (class in pyFTS.common.Transformations)
transformation (pyFTS.partitioners.partitioner.Partitioner attribute)
trapmf() (in module pyFTS.common.Membership)
trimf() (in module pyFTS.common.Membership)
type (pyFTS.common.FuzzySet.FuzzySet attribute)
(pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute)
U
unpack_args() (pyFTS.models.nonstationary.flrg.NonStationaryFLRG method)
uod (pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution attribute)
upper_set() (pyFTS.partitioners.partitioner.Partitioner method)
UStatistic() (in module pyFTS.benchmarks.Measures)
V
variable (pyFTS.common.FuzzySet.FuzzySet attribute)
W
white_noise() (in module pyFTS.data.artificial)
width (pyFTS.models.nonstationary.common.FuzzySet attribute)
width_params (pyFTS.models.nonstationary.common.FuzzySet attribute)
window_index() (in module pyFTS.models.nonstationary.common)
winkler_mean() (in module pyFTS.benchmarks.Measures)
winkler_score() (in module pyFTS.benchmarks.Measures)
Y
year (pyFTS.models.seasonal.common.DateTime attribute)
Z
Z (pyFTS.common.FuzzySet.FuzzySet attribute)
Z() (in module pyFTS.common.Transformations)
pyFTS
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