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  • pyFTS.common.fts
  • pyFTS.common.tree
  • pyFTS.data.AirPassengers
  • +
  • pyFTS.data.Bitcoin
  • +
  • pyFTS.data.DowJones
  • +
  • pyFTS.data.EURGBP
  • +
  • pyFTS.data.EURUSD
  • pyFTS.data.Enrollments
  • +
  • pyFTS.data.Ethereum
  • +
  • pyFTS.data.GBPUSD
  • pyFTS.data.INMET
  • pyFTS.data.NASDAQ
  • pyFTS.data.SONDA
  • diff --git a/docs/build/html/_modules/pyFTS/data/Bitcoin.html b/docs/build/html/_modules/pyFTS/data/Bitcoin.html new file mode 100644 index 0000000..39bc027 --- /dev/null +++ b/docs/build/html/_modules/pyFTS/data/Bitcoin.html @@ -0,0 +1,123 @@ + + + + + + + + + pyFTS.data.Bitcoin — pyFTS 1.2.3 documentation + + + + + + + + + + + + + + + + +
    +
    +
    +
    + +

    Source code for pyFTS.data.Bitcoin

    +"""
    +Bitcoin to USD quotations
    +
    +Daily averaged index, by business day, from 2010 to 2018.
    +
    +Source: https://finance.yahoo.com/quote/BTC-USD?p=BTC-USD
    +"""
    +
    +
    +from pyFTS.data import common
    +import pandas as pd
    +import numpy as np
    +
    +
    +
    [docs]def get_data(): + """ + Get the univariate time series data. + + :return: numpy array + """ + dat = get_dataframe() + return np.array(dat["Avg"])
    + + +
    [docs]def get_dataframe(): + """ + Get the complete multivariate time series data. + + :return: Pandas DataFrame + """ + df = pd.read_csv('https://query.data.world/s/72gews5w3c7oaf7by5vp7evsasluia') + + return df
    + +
    + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/docs/build/html/_modules/pyFTS/data/DowJones.html b/docs/build/html/_modules/pyFTS/data/DowJones.html new file mode 100644 index 0000000..9cb36c0 --- /dev/null +++ b/docs/build/html/_modules/pyFTS/data/DowJones.html @@ -0,0 +1,123 @@ + + + + + + + + + pyFTS.data.DowJones — pyFTS 1.2.3 documentation + + + + + + + + + + + + + + + + +
    +
    +
    +
    + +

    Source code for pyFTS.data.DowJones

    +"""
    +DJI - Dow Jones
    +
    +Daily averaged index, by business day, from 1985 to 2017.
    +
    +Source: https://finance.yahoo.com/quote/%5EGSPC/history?p=%5EGSPC
    +"""
    +
    +
    +from pyFTS.data import common
    +import pandas as pd
    +import numpy as np
    +
    +
    +
    [docs]def get_data(): + """ + Get the univariate time series data. + + :return: numpy array + """ + dat = get_dataframe() + return np.array(dat["Avg"])
    + + +
    [docs]def get_dataframe(): + """ + Get the complete multivariate time series data. + + :return: Pandas DataFrame + """ + df = pd.read_csv('https://query.data.world/s/d4hfir3xrelkx33o3bfs5dbhyiztml') + + return df
    + +
    + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/docs/build/html/_modules/pyFTS/data/EURGBP.html b/docs/build/html/_modules/pyFTS/data/EURGBP.html new file mode 100644 index 0000000..5f099c6 --- /dev/null +++ b/docs/build/html/_modules/pyFTS/data/EURGBP.html @@ -0,0 +1,121 @@ + + + + + + + + + pyFTS.data.EURGBP — pyFTS 1.2.3 documentation + + + + + + + + + + + + + + + + +
    +
    +
    +
    + +

    Source code for pyFTS.data.EURGBP

    +"""
    +FOREX market EUR-GBP pair.
    +
    +Daily averaged quotations, by business day, from 2016 to 2018.
    +"""
    +
    +
    +from pyFTS.data import common
    +import pandas as pd
    +import numpy as np
    +
    +
    +
    [docs]def get_data(): + """ + Get the univariate time series data. + + :return: numpy array + """ + dat = get_dataframe() + return np.array(dat["Avg"])
    + + +
    [docs]def get_dataframe(): + """ + Get the complete multivariate time series data. + + :return: Pandas DataFrame + """ + df = pd.read_csv('https://query.data.world/s/gvsaeruthnxjkwzl7z4ki7u5rduah3') + + return df
    + +
    + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/docs/build/html/_modules/pyFTS/data/EURUSD.html b/docs/build/html/_modules/pyFTS/data/EURUSD.html new file mode 100644 index 0000000..130e0a4 --- /dev/null +++ b/docs/build/html/_modules/pyFTS/data/EURUSD.html @@ -0,0 +1,121 @@ + + + + + + + + + pyFTS.data.EURUSD — pyFTS 1.2.3 documentation + + + + + + + + + + + + + + + + +
    +
    +
    +
    + +

    Source code for pyFTS.data.EURUSD

    +"""
    +FOREX market EUR-USD pair.
    +
    +Daily averaged quotations, by business day, from 2016 to 2018.
    +"""
    +
    +
    +from pyFTS.data import common
    +import pandas as pd
    +import numpy as np
    +
    +
    +
    [docs]def get_data(): + """ + Get the univariate time series data. + + :return: numpy array + """ + dat = get_dataframe() + return np.array(dat["Avg"])
    + + +
    [docs]def get_dataframe(): + """ + Get the complete multivariate time series data. + + :return: Pandas DataFrame + """ + df = pd.read_csv('https://query.data.world/s/od4eojioz4w6o5bbwxjfn6j5zoqtos') + + return df
    + +
    + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/docs/build/html/_modules/pyFTS/data/Ethereum.html b/docs/build/html/_modules/pyFTS/data/Ethereum.html new file mode 100644 index 0000000..ea800c4 --- /dev/null +++ b/docs/build/html/_modules/pyFTS/data/Ethereum.html @@ -0,0 +1,123 @@ + + + + + + + + + pyFTS.data.Ethereum — pyFTS 1.2.3 documentation + + + + + + + + + + + + + + + + +
    +
    +
    +
    + +

    Source code for pyFTS.data.Ethereum

    +"""
    +Ethereum to USD quotations
    +
    +Daily averaged index, by business day, from 2016 to 2018.
    +
    +Source: https://finance.yahoo.com/quote/ETH-USD?p=ETH-USD
    +"""
    +
    +
    +from pyFTS.data import common
    +import pandas as pd
    +import numpy as np
    +
    +
    +
    [docs]def get_data(): + """ + Get the univariate time series data. + + :return: numpy array + """ + dat = get_dataframe() + return np.array(dat["Avg"])
    + + +
    [docs]def get_dataframe(): + """ + Get the complete multivariate time series data. + + :return: Pandas DataFrame + """ + df = pd.read_csv('https://query.data.world/s/qj4ly7o4rl7oq527xzy4v76wkr3hws') + + return df
    + +
    + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/docs/build/html/_modules/pyFTS/data/GBPUSD.html b/docs/build/html/_modules/pyFTS/data/GBPUSD.html new file mode 100644 index 0000000..cee6c67 --- /dev/null +++ b/docs/build/html/_modules/pyFTS/data/GBPUSD.html @@ -0,0 +1,121 @@ + + + + + + + + + pyFTS.data.GBPUSD — pyFTS 1.2.3 documentation + + + + + + + + + + + + + + + + +
    +
    +
    +
    + +

    Source code for pyFTS.data.GBPUSD

    +"""
    +FOREX market GBP-USD pair.
    +
    +Daily averaged quotations, by business day, from 2016 to 2018.
    +"""
    +
    +
    +from pyFTS.data import common
    +import pandas as pd
    +import numpy as np
    +
    +
    +
    [docs]def get_data(): + """ + Get the univariate time series data. + + :return: numpy array + """ + dat = get_dataframe() + return np.array(dat["Avg"])
    + + +
    [docs]def get_dataframe(): + """ + Get the complete multivariate time series data. + + :return: Pandas DataFrame + """ + df = pd.read_csv('https://query.data.world/s/sw4mijpowb3mqv6bsat7cdj54hyxix') + + return df
    + +
    + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/docs/build/html/_sources/pyFTS.data.rst.txt b/docs/build/html/_sources/pyFTS.data.rst.txt index 1f23202..9128716 100644 --- a/docs/build/html/_sources/pyFTS.data.rst.txt +++ b/docs/build/html/_sources/pyFTS.data.rst.txt @@ -1,6 +1,10 @@ pyFTS.data package ================== +.. toctree:: + :maxdepth: 3 + :caption: Index: + Module contents --------------- @@ -8,11 +12,24 @@ Module contents :members: :undoc-members: :show-inheritance: + + Submodules ---------- -pyFTS.data.AirPassengers module +pyFTS.data.common module +------------------------ + +.. automodule:: pyFTS.data.common + :members: + :undoc-members: + :show-inheritance: + +Datasets +-------- + +AirPassengers dataset ------------------------------- .. automodule:: pyFTS.data.AirPassengers @@ -20,15 +37,65 @@ pyFTS.data.AirPassengers module :undoc-members: :show-inheritance: -pyFTS.data.Enrollments module +Bitcoin dataset +------------------------------- + +.. automodule:: pyFTS.data.Bitcoin + :members: + :undoc-members: + :show-inheritance: + +DowJones dataset +----------------------------- + +.. automodule:: pyFTS.data.DowJones + :members: + :undoc-members: + :show-inheritance: + +Enrollments dataset ----------------------------- .. automodule:: pyFTS.data.Enrollments :members: :undoc-members: :show-inheritance: + +Ethereum dataset +----------------------------- -pyFTS.data.INMET module +.. automodule:: pyFTS.data.Ethereum + :members: + :undoc-members: + :show-inheritance: + + +EUR-GBP dataset +----------------------------- + +.. automodule:: pyFTS.data.EURGBP + :members: + :undoc-members: + :show-inheritance: + +EUR-USD dataset +----------------------------- + +.. automodule:: pyFTS.data.EURUSD + :members: + :undoc-members: + :show-inheritance: + + +GBP-USD dataset +----------------------------- + +.. automodule:: pyFTS.data.GBPUSD + :members: + :undoc-members: + :show-inheritance: + +INMET dataset ----------------------- .. automodule:: pyFTS.data.INMET @@ -36,7 +103,7 @@ pyFTS.data.INMET module :undoc-members: :show-inheritance: -pyFTS.data.NASDAQ module +NASDAQ module ------------------------ .. automodule:: pyFTS.data.NASDAQ @@ -44,7 +111,7 @@ pyFTS.data.NASDAQ module :undoc-members: :show-inheritance: -pyFTS.data.SONDA module +SONDA dataset ----------------------- .. automodule:: pyFTS.data.SONDA @@ -52,7 +119,7 @@ pyFTS.data.SONDA module :undoc-members: :show-inheritance: -pyFTS.data.SP500 module +S&P 500 dataset ----------------------- .. automodule:: pyFTS.data.SP500 @@ -60,7 +127,7 @@ pyFTS.data.SP500 module :undoc-members: :show-inheritance: -pyFTS.data.TAIEX module +TAIEX dataset ----------------------- .. automodule:: pyFTS.data.TAIEX @@ -76,56 +143,48 @@ pyFTS.data.artificial module :undoc-members: :show-inheritance: -pyFTS.data.common module ------------------------- - -.. automodule:: pyFTS.data.common - :members: - :undoc-members: - :show-inheritance: - -pyFTS.data.henon module ------------------------ +Henon chaotic time series +------------------------- .. automodule:: pyFTS.data.henon :members: :undoc-members: :show-inheritance: -pyFTS.data.logistic\_map module -------------------------------- +Logistic\_map chaotic time series +---------------------------------- .. automodule:: pyFTS.data.logistic_map :members: :undoc-members: :show-inheritance: -pyFTS.data.lorentz module -------------------------- +Lorentz chaotic time series +--------------------------- .. automodule:: pyFTS.data.lorentz :members: :undoc-members: :show-inheritance: -pyFTS.data.mackey\_glass module -------------------------------- +Mackey-Glass chaotic time series +-------------------------------- .. automodule:: pyFTS.data.mackey_glass :members: :undoc-members: :show-inheritance: -pyFTS.data.rossler module -------------------------- +Rossler chaotic time series +--------------------------- .. automodule:: pyFTS.data.rossler :members: :undoc-members: :show-inheritance: -pyFTS.data.sunspots module --------------------------- +Sunspots dataset +---------------- .. automodule:: pyFTS.data.sunspots :members: diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html index 9c68ee2..96cd138 100644 --- a/docs/build/html/genindex.html +++ b/docs/build/html/genindex.html @@ -698,7 +698,19 @@
  • get_data() (in module pyFTS.data.AirPassengers) + - - +
    • pyFTS.common (module)
    • pyFTS.common.Composite (module) @@ -1392,10 +1416,22 @@
    • pyFTS.data.AirPassengers (module)
    • pyFTS.data.artificial (module) +
    • +
    • pyFTS.data.Bitcoin (module)
    • pyFTS.data.common (module) +
    • +
    • pyFTS.data.DowJones (module)
    • pyFTS.data.Enrollments (module) +
    • +
    • pyFTS.data.Ethereum (module) +
    • +
    • pyFTS.data.EURGBP (module) +
    • +
    • pyFTS.data.EURUSD (module) +
    • +
    • pyFTS.data.GBPUSD (module)
    • pyFTS.data.henon (module)
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    • pyFTS.data package
    @@ -108,6 +115,8 @@

    pyFTS.data package

    +
    +

    Module contents

    Module for pyFTS standard datasets facilities

    @@ -115,8 +124,38 @@

    Submodules

    +
    +

    pyFTS.data.common module

    +
    +
    +pyFTS.data.common.get_dataframe(filename, url, sep=';', compression='infer')[source]
    +

    This method check if filename already exists, read the file and return its data. +If the file don’t already exists, it will be downloaded and decompressed.

    + +++ + + + + + +
    Parameters:
      +
    • filename – dataset local filename
    • +
    • url – dataset internet URL
    • +
    • sep – CSV field separator
    • +
    • compression – type of compression
    • +
    +
    Returns:

    Pandas dataset

    +
    +
    + +
    +
    +

    Datasets

    +
    -

    pyFTS.data.AirPassengers module

    +

    AirPassengers dataset

    Monthly totals of a airline passengers from USA, from January 1949 through December 1960.

    Source: Hyndman, R.J., Time Series Data Library, http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/.

    @@ -147,9 +186,77 @@
    +
    +
    +

    Bitcoin dataset

    +

    Bitcoin to USD quotations

    +

    Daily averaged index, by business day, from 2010 to 2018.

    +

    Source: https://finance.yahoo.com/quote/BTC-USD?p=BTC-USD

    +
    +
    +pyFTS.data.Bitcoin.get_data()[source]
    +

    Get the univariate time series data.

    + +++ + + + +
    Returns:numpy array
    +
    + +
    +
    +pyFTS.data.Bitcoin.get_dataframe()[source]
    +

    Get the complete multivariate time series data.

    + +++ + + + +
    Returns:Pandas DataFrame
    +
    + +
    +
    +

    DowJones dataset

    +

    DJI - Dow Jones

    +

    Daily averaged index, by business day, from 1985 to 2017.

    +

    Source: https://finance.yahoo.com/quote/%5EGSPC/history?p=%5EGSPC

    +
    +
    +pyFTS.data.DowJones.get_data()[source]
    +

    Get the univariate time series data.

    + +++ + + + +
    Returns:numpy array
    +
    + +
    +
    +pyFTS.data.DowJones.get_dataframe()[source]
    +

    Get the complete multivariate time series data.

    + +++ + + + +
    Returns:Pandas DataFrame
    +
    +
    -

    pyFTS.data.Enrollments module

    +

    Enrollments dataset

    Yearly University of Alabama enrollments from 1971 to 1992.

    @@ -170,9 +277,142 @@ pyFTS.data.Enrollments.get_dataframe()[source]
    +
    +
    +

    Ethereum dataset

    +

    Ethereum to USD quotations

    +

    Daily averaged index, by business day, from 2016 to 2018.

    +

    Source: https://finance.yahoo.com/quote/ETH-USD?p=ETH-USD

    +
    +
    +pyFTS.data.Ethereum.get_data()[source]
    +

    Get the univariate time series data.

    + +++ + + + +
    Returns:numpy array
    +
    + +
    +
    +pyFTS.data.Ethereum.get_dataframe()[source]
    +

    Get the complete multivariate time series data.

    + +++ + + + +
    Returns:Pandas DataFrame
    +
    + +
    +
    +

    EUR-GBP dataset

    +

    FOREX market EUR-GBP pair.

    +

    Daily averaged quotations, by business day, from 2016 to 2018.

    +
    +
    +pyFTS.data.EURGBP.get_data()[source]
    +

    Get the univariate time series data.

    + +++ + + + +
    Returns:numpy array
    +
    + +
    +
    +pyFTS.data.EURGBP.get_dataframe()[source]
    +

    Get the complete multivariate time series data.

    + +++ + + + +
    Returns:Pandas DataFrame
    +
    + +
    +
    +

    EUR-USD dataset

    +

    FOREX market EUR-USD pair.

    +

    Daily averaged quotations, by business day, from 2016 to 2018.

    +
    +
    +pyFTS.data.EURUSD.get_data()[source]
    +

    Get the univariate time series data.

    + +++ + + + +
    Returns:numpy array
    +
    + +
    +
    +pyFTS.data.EURUSD.get_dataframe()[source]
    +

    Get the complete multivariate time series data.

    + +++ + + + +
    Returns:Pandas DataFrame
    +
    + +
    +
    +

    GBP-USD dataset

    +

    FOREX market GBP-USD pair.

    +

    Daily averaged quotations, by business day, from 2016 to 2018.

    +
    +
    +pyFTS.data.GBPUSD.get_data()[source]
    +

    Get the univariate time series data.

    + +++ + + + +
    Returns:numpy array
    +
    + +
    +
    +pyFTS.data.GBPUSD.get_dataframe()[source]
    +

    Get the complete multivariate time series data.

    + +++ + + + +
    Returns:Pandas DataFrame
    +
    +
    -

    pyFTS.data.INMET module

    +

    INMET dataset

    INMET - Instituto Nacional Meteorologia / Brasil

    Belo Horizonte station, from 2000-01-01 to 31/12/2012

    Source: http://www.inmet.gov.br

    @@ -192,7 +432,7 @@
    -

    pyFTS.data.NASDAQ module

    +

    NASDAQ module

    National Association of Securities Dealers Automated Quotations - Composite Index (NASDAQ IXIC)

    Daily averaged index by business day, from 2000 to 2016.

    Source: http://www.nasdaq.com/aspx/flashquotes.aspx?symbol=IXIC&selected=IXIC

    @@ -228,7 +468,7 @@
    -

    pyFTS.data.SONDA module

    +

    SONDA dataset

    SONDA - Sistema de Organização Nacional de Dados Ambientais, from INPE - Instituto Nacional de Pesquisas Espaciais, Brasil.

    Brasilia station

    Source: http://sonda.ccst.inpe.br/

    @@ -264,7 +504,7 @@
    -

    pyFTS.data.SP500 module

    +

    S&P 500 dataset

    S&P500 - Standard & Poor’s 500

    Daily averaged index, by business day, from 1950 to 2017.

    Source: https://finance.yahoo.com/quote/%5EGSPC/history?p=%5EGSPC

    @@ -298,7 +538,7 @@
    -

    pyFTS.data.TAIEX module

    +

    TAIEX dataset

    The Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX)

    Daily averaged index by business day, from 1995 to 2014.

    Source: http://www.twse.com.tw/en/products/indices/Index_Series.php

    @@ -398,36 +638,9 @@ pyFTS.data.artificial.white_noise(n=500)[source]
    -
    -
    -

    pyFTS.data.common module

    -
    -
    -pyFTS.data.common.get_dataframe(filename, url, sep=';', compression='infer')[source]
    -

    This method check if filename already exists, read the file and return its data. -If the file don’t already exists, it will be downloaded and decompressed.

    - --- - - - - - -
    Parameters:
      -
    • filename – dataset local filename
    • -
    • url – dataset internet URL
    • -
    • sep – CSV field separator
    • -
    • compression – type of compression
    • -
    -
    Returns:

    Pandas dataset

    -
    -
    -
    -

    pyFTS.data.henon module

    +

    Henon chaotic time series

    1. Hénon. “A two-dimensional mapping with a strange attractor”. Commun. Math. Phys. 50, 69-77 (1976)
    @@ -474,7 +687,7 @@ dy/dt = x

    -

    pyFTS.data.logistic_map module

    +

    Logistic_map chaotic time series

    May, Robert M. (1976). “Simple mathematical models with very complicated dynamics”. Nature. 261 (5560): 459–467. doi:10.1038/261459a0.

    x(t) = r * x(t-1) * (1 - x(t -1) )

    @@ -502,7 +715,7 @@ Nature. 261 (5560): 459–467. doi:10.1038/261459a0.

    -

    pyFTS.data.lorentz module

    +

    Lorentz chaotic time series

    Lorenz, Edward Norton (1963). “Deterministic nonperiodic flow”. Journal of the Atmospheric Sciences. 20 (2): 130–141. https://doi.org/10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2

    dx/dt = a(y -x) @@ -551,7 +764,7 @@ dz/dt = xy - cz

    -

    pyFTS.data.mackey_glass module

    +

    Mackey-Glass chaotic time series

    Mackey, M. C. and Glass, L. (1977). Oscillation and chaos in physiological control systems. Science, 197(4300):287-289.

    dy/dt = -by(t)+ cy(t - tau) / 1+y(t-tau)^10

    @@ -581,7 +794,7 @@ Science, 197(4300):287-289.

    -

    pyFTS.data.rossler module

    +

    Rossler chaotic time series

      1. Rössler, Phys. Lett. 57A, 397 (1976).
      2. @@ -634,7 +847,7 @@ dz/dt = b + z( x - c )

    -

    pyFTS.data.sunspots module

    +

    Sunspots dataset

    Monthly sunspot numbers from 1749 to May 2016

    Source: https://www.esrl.noaa.gov/psd/gcos_wgsp/Timeseries/SUNSPOT/

    diff --git a/docs/build/html/pyFTS.html b/docs/build/html/pyFTS.html index af5581d..03719c9 100644 --- a/docs/build/html/pyFTS.html +++ b/docs/build/html/pyFTS.html @@ -129,21 +129,28 @@
  • pyFTS.data package
  • pyFTS.models package
      diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js index 9ae3ea2..8a2077e 100644 --- a/docs/build/html/searchindex.js +++ b/docs/build/html/searchindex.js @@ -1 +1 @@ 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to pyFTS\u2019s documentation!","pyFTS","pyFTS package","pyFTS.benchmarks package","pyFTS.common package","pyFTS.data package","pyFTS.models package","pyFTS.models.ensemble package","pyFTS.models.multivariate package","pyFTS.models.nonstationary package","pyFTS.models.seasonal package","pyFTS.partitioners package","pyFTS.probabilistic package","pyFTS Quick Start"],titleterms:{FTS:13,airpasseng:5,arima:3,artifici:5,benchmark:3,bitcoin:5,chaotic:5,chen:6,cheng:6,cmean:11,cmsft:10,common:[4,5,8,9,10],composit:4,conf:2,content:[2,3,4,5,6,7,8,9,10,11,12],cvft:9,data:5,dataset:5,document:0,dowjon:5,enrol:5,ensembl:7,entropi:11,ethereum:5,eur:5,exampl:13,fcm:11,flr:[4,8],flrg:[4,8,9],fts:4,fuzzi:13,fuzzyset:4,gbp:5,glass:5,grid:11,henon:5,hoft:6,honsft:9,how:[0,13],huarng:11,hwang:6,ift:6,index:0,inmet:5,instal:13,ismailefendi:6,kde:12,knn:3,librari:0,logistic_map:5,lorentz:5,mackei:5,mackey_glass:[],measur:3,membership:4,model:[6,7,8,9,10],modul:[2,3,4,5,6,7,8,9,10,11,12],msft:10,multiseason:7,multivari:8,mvft:8,naiv:3,nasdaq:5,nonstationari:9,nsft:9,packag:[2,3,4,5,6,7,8,9,10,11,12],parallel_util:11,partition:[9,10,11],perturb:9,probabilist:12,probabilitydistribut:12,pwft:6,pyft:[0,1,2,3,4,5,6,7,8,9,10,11,12,13],quantreg:3,quick:13,refer:[0,13],residualanalysi:3,rossler:5,sadaei:6,season:10,seasonalindex:10,seri:[5,13],sft:10,sonda:5,song:6,sortedcollect:4,sp500:[],start:13,submodul:[2,3,4,5,6,7,8,9,10,11,12],subpackag:[2,6],sunspot:5,taiex:5,time:[5,13],transform:4,tree:4,usag:13,usd:5,util:[3,4,9,11],variabl:8,welcom:0,what:[0,13]}}) \ No newline at end of file diff --git a/docs/pyFTS.data.rst b/docs/pyFTS.data.rst index 1f23202..9128716 100644 --- a/docs/pyFTS.data.rst +++ b/docs/pyFTS.data.rst @@ -1,6 +1,10 @@ pyFTS.data package ================== +.. toctree:: + :maxdepth: 3 + :caption: Index: + Module contents --------------- @@ -8,11 +12,24 @@ Module contents :members: :undoc-members: :show-inheritance: + + Submodules ---------- -pyFTS.data.AirPassengers module +pyFTS.data.common module +------------------------ + +.. automodule:: pyFTS.data.common + :members: + :undoc-members: + :show-inheritance: + +Datasets +-------- + +AirPassengers dataset ------------------------------- .. automodule:: pyFTS.data.AirPassengers @@ -20,15 +37,65 @@ pyFTS.data.AirPassengers module :undoc-members: :show-inheritance: -pyFTS.data.Enrollments module +Bitcoin dataset +------------------------------- + +.. automodule:: pyFTS.data.Bitcoin + :members: + :undoc-members: + :show-inheritance: + +DowJones dataset +----------------------------- + +.. automodule:: pyFTS.data.DowJones + :members: + :undoc-members: + :show-inheritance: + +Enrollments dataset ----------------------------- .. automodule:: pyFTS.data.Enrollments :members: :undoc-members: :show-inheritance: + +Ethereum dataset +----------------------------- -pyFTS.data.INMET module +.. automodule:: pyFTS.data.Ethereum + :members: + :undoc-members: + :show-inheritance: + + +EUR-GBP dataset +----------------------------- + +.. automodule:: pyFTS.data.EURGBP + :members: + :undoc-members: + :show-inheritance: + +EUR-USD dataset +----------------------------- + +.. automodule:: pyFTS.data.EURUSD + :members: + :undoc-members: + :show-inheritance: + + +GBP-USD dataset +----------------------------- + +.. automodule:: pyFTS.data.GBPUSD + :members: + :undoc-members: + :show-inheritance: + +INMET dataset ----------------------- .. automodule:: pyFTS.data.INMET @@ -36,7 +103,7 @@ pyFTS.data.INMET module :undoc-members: :show-inheritance: -pyFTS.data.NASDAQ module +NASDAQ module ------------------------ .. automodule:: pyFTS.data.NASDAQ @@ -44,7 +111,7 @@ pyFTS.data.NASDAQ module :undoc-members: :show-inheritance: -pyFTS.data.SONDA module +SONDA dataset ----------------------- .. automodule:: pyFTS.data.SONDA @@ -52,7 +119,7 @@ pyFTS.data.SONDA module :undoc-members: :show-inheritance: -pyFTS.data.SP500 module +S&P 500 dataset ----------------------- .. automodule:: pyFTS.data.SP500 @@ -60,7 +127,7 @@ pyFTS.data.SP500 module :undoc-members: :show-inheritance: -pyFTS.data.TAIEX module +TAIEX dataset ----------------------- .. automodule:: pyFTS.data.TAIEX @@ -76,56 +143,48 @@ pyFTS.data.artificial module :undoc-members: :show-inheritance: -pyFTS.data.common module ------------------------- - -.. automodule:: pyFTS.data.common - :members: - :undoc-members: - :show-inheritance: - -pyFTS.data.henon module ------------------------ +Henon chaotic time series +------------------------- .. automodule:: pyFTS.data.henon :members: :undoc-members: :show-inheritance: -pyFTS.data.logistic\_map module -------------------------------- +Logistic\_map chaotic time series +---------------------------------- .. automodule:: pyFTS.data.logistic_map :members: :undoc-members: :show-inheritance: -pyFTS.data.lorentz module -------------------------- +Lorentz chaotic time series +--------------------------- .. automodule:: pyFTS.data.lorentz :members: :undoc-members: :show-inheritance: -pyFTS.data.mackey\_glass module -------------------------------- +Mackey-Glass chaotic time series +-------------------------------- .. automodule:: pyFTS.data.mackey_glass :members: :undoc-members: :show-inheritance: -pyFTS.data.rossler module -------------------------- +Rossler chaotic time series +--------------------------- .. automodule:: pyFTS.data.rossler :members: :undoc-members: :show-inheritance: -pyFTS.data.sunspots module --------------------------- +Sunspots dataset +---------------- .. automodule:: pyFTS.data.sunspots :members:
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