Ejemplos de Transformations.BoxCox en Python

Ejemplo n.º 1

Archivo: multivariate.py Proyecto: yashhguptaa1/pyFTS

from pyFTS.data import TAIEX as tx
from pyFTS.common import Transformations

from pyFTS.data import SONDA
df = SONDA.get_dataframe()
train = df.iloc[0:578241]  #three years
test = df.iloc[1572480:2096640]  #one year
del df

from pyFTS.partitioners import Grid, Util as pUtil
from pyFTS.common import Transformations, Util
from pyFTS.models.multivariate import common, variable, mvfts
from pyFTS.models.seasonal import partitioner as seasonal
from pyFTS.models.seasonal.common import DateTime

bc = Transformations.BoxCox(0)
tdiff = Transformations.Differential(1)

np = 10

model = mvfts.MVFTS("")

fig, axes = plt.subplots(nrows=5, ncols=1, figsize=[15, 10])

sp = {
    'seasonality':
    DateTime.day_of_year,
    'names': [
        'Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct',
        'Nov', 'Dec'
    ]

Ejemplo n.º 2

import matplotlib.pylab as plt

import pandas as pd

from pyFTS.common import Util as cUtil, FuzzySet
from pyFTS.partitioners import Grid, Entropy, Util as pUtil, Simple
from pyFTS.benchmarks import benchmarks as bchmk, Measures
from pyFTS.models import chen, yu, cheng, ismailefendi, hofts, pwfts, tsaur, song, sadaei, ifts
from pyFTS.models.ensemble import ensemble
from pyFTS.common import Membership, Util
from pyFTS.benchmarks import arima, quantreg, BSTS, gaussianproc, knn
from pyFTS.common import Transformations

tdiff = Transformations.Differential(1)

boxcox = Transformations.BoxCox(0)

from pyFTS.data import Enrollments, AirPassengers
'''
data = AirPassengers.get_data()

roi = Transformations.ROI()

#plt.plot(data)

_roi = roi.apply(data)

#plt.plot(_roi)

plt.plot(roi.inverse(_roi, data))
'''