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zLCxBrCT%cm(^AK|!0zJD4V8PbCK@Uis-g06{6#}$ z8;U?f1z*W$Hd=6&M3|tEMD&I~-@E)Ilq@8oq4;^MiH71Y957Q_}NeH&yD%NQslO zR?4(DQa+H=wvTLhU%V{wWLq!+d`l&phPTszrogP^0hQwgDq0n}y+hrmDR8QaOiz#^ K96X)nh5rw6^WOFV diff --git a/docs/build/html/_sources/pyFTS.models.multivariate.rst.txt b/docs/build/html/_sources/pyFTS.models.multivariate.rst.txt index 10ac3ef..44d9ff4 100644 --- a/docs/build/html/_sources/pyFTS.models.multivariate.rst.txt +++ b/docs/build/html/_sources/pyFTS.models.multivariate.rst.txt @@ -1,6 +1,15 @@ pyFTS.models.multivariate package ================================= +Module contents +--------------- + +.. automodule:: pyFTS.models.multivariate + :members: + :undoc-members: + :show-inheritance: + + Submodules ---------- @@ -43,12 +52,12 @@ pyFTS.models.multivariate.variable module :members: :undoc-members: :show-inheritance: + +pyFTS.models.multivariate.wmvfts module +-------------------------------------- - -Module contents ---------------- - -.. automodule:: pyFTS.models.multivariate +.. automodule:: pyFTS.models.multivariate.mvfts :members: :undoc-members: :show-inheritance: + diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html index 362e2ed..748ff5b 100644 --- a/docs/build/html/genindex.html +++ b/docs/build/html/genindex.html @@ -180,7 +180,7 @@

  • append_transformation() (pyFTS.common.fts.FTS method)
  • -
  • append_variable() (pyFTS.models.multivariate.mvfts.MVFTS method) +
  • append_variable() (pyFTS.models.multivariate.mvfts.MVFTS method), [1]
  • appendChild() (pyFTS.common.tree.FLRGTreeNode method)
  • @@ -205,7 +205,7 @@
  • apply_transformations() (pyFTS.common.fts.FTS method)
  • -
  • format_data() (pyFTS.models.multivariate.mvfts.MVFTS method) +
  • format_data() (pyFTS.models.multivariate.mvfts.MVFTS method), [1]
  • FTS (class in pyFTS.common.fts)
  • @@ -677,7 +677,7 @@
  • generate_FLRG() (pyFTS.models.yu.WeightedFTS method)
  • -
  • generate_flrs() (pyFTS.models.multivariate.mvfts.MVFTS method) +
  • generate_flrs() (pyFTS.models.multivariate.mvfts.MVFTS method), [1]
  • generate_gaussian_linear() (in module pyFTS.data.artificial)
  • @@ -712,7 +712,7 @@
  • (pyFTS.models.pwfts.ProbabilisticWeightedFTS method)
  • -
  • generate_lhs_flrs() (pyFTS.models.multivariate.mvfts.MVFTS method) +
  • generate_lhs_flrs() (pyFTS.models.multivariate.mvfts.MVFTS method), [1]
  • generate_non_recurrent_flrs() (in module pyFTS.common.FLR)
  • @@ -1192,7 +1192,7 @@
  • MultiSeasonalFTS (class in pyFTS.models.seasonal.msfts)
  • -
  • MVFTS (class in pyFTS.models.multivariate.mvfts) +
  • MVFTS (class in pyFTS.models.multivariate.mvfts), [1]
  • @@ -1536,7 +1536,7 @@
  • pyFTS.models.multivariate.flrg (module)
  • -
  • pyFTS.models.multivariate.mvfts (module) +
  • pyFTS.models.multivariate.mvfts (module), [1]
  • pyFTS.models.multivariate.variable (module)
  • @@ -1809,7 +1809,7 @@
  • (pyFTS.models.ismailefendi.ImprovedWeightedFTS method)
  • -
  • (pyFTS.models.multivariate.mvfts.MVFTS method) +
  • (pyFTS.models.multivariate.mvfts.MVFTS method), [1]
  • (pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS method)
  • diff --git a/docs/build/html/pyFTS.models.html b/docs/build/html/pyFTS.models.html index d59c7f2..8a4390e 100644 --- a/docs/build/html/pyFTS.models.html +++ b/docs/build/html/pyFTS.models.html @@ -137,13 +137,14 @@
  • pyFTS.models.multivariate package
  • pyFTS.models.nonstationary package
      diff --git a/docs/build/html/pyFTS.models.multivariate.html b/docs/build/html/pyFTS.models.multivariate.html index 7f8ad8d..c160ed2 100644 --- a/docs/build/html/pyFTS.models.multivariate.html +++ b/docs/build/html/pyFTS.models.multivariate.html @@ -64,13 +64,14 @@

      Table Of Contents

      @@ -110,6 +111,10 @@

      pyFTS.models.multivariate package¶

      +
      +

      Module contents¶

      +

      Multivariate Fuzzy Time Series methods

      +

      Submodules¶

      @@ -358,9 +363,127 @@ transformations and partitioners.

      -
      -

      Module contents¶

      -

      Multivariate Fuzzy Time Series methods

      +
      +

      pyFTS.models.multivariate.wmvfts module¶

      +
      +
      +class pyFTS.models.multivariate.mvfts.MVFTS(**kwargs)[source]
      +

      Bases: pyFTS.common.fts.FTS

      +

      Multivariate extension of Chen’s ConventionalFTS method

      +
      +
      +append_variable(var)[source]
      +

      Append a new endogenous variable to the model

      + +++ + + + + + +
      Parameters:var – variable object
      Returns:
      +
      + +
      +
      +apply_transformations(data, params=None, updateUoD=False, **kwargs)[source]
      +

      Apply the data transformations for data preprocessing

      + +++ + + + + + +
      Parameters:
        +
      • data – input data
      • +
      • params – transformation parameters
      • +
      • updateUoD –
      • +
      • kwargs –
      • +
      +
      Returns:

      preprocessed data

      +
      +
      + +
      +
      +clone_parameters(model)[source]
      +

      Import the parameters values from other model

      + +++ + + + +
      Parameters:model –
      +
      + +
      +
      +forecast(data, **kwargs)[source]
      +

      Point forecast one step ahead

      + +++ + + + + + +
      Parameters:
        +
      • data – time series data with the minimal length equal to the max_lag of the model
      • +
      • kwargs – model specific parameters
      • +
      +
      Returns:

      a list with the forecasted values

      +
      +
      + +
      +
      +format_data(data)[source]
      +
      + +
      +
      +generate_flrg(flrs)[source]
      +
      + +
      +
      +generate_flrs(data)[source]
      +
      + +
      +
      +generate_lhs_flrs(data)[source]
      +
      + +
      +
      +train(data, **kwargs)[source]
      +

      Method specific parameter fitting

      + +++ + + + +
      Parameters:
        +
      • data – training time series data
      • +
      • kwargs – Method specific parameters
      • +
      +
      +
      + +
      +
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\ No newline at end of file diff --git a/docs/pyFTS.models.multivariate.rst b/docs/pyFTS.models.multivariate.rst index 10ac3ef..44d9ff4 100644 --- a/docs/pyFTS.models.multivariate.rst +++ b/docs/pyFTS.models.multivariate.rst @@ -1,6 +1,15 @@ pyFTS.models.multivariate package ================================= +Module contents +--------------- + +.. automodule:: pyFTS.models.multivariate + :members: + :undoc-members: + :show-inheritance: + + Submodules ---------- @@ -43,12 +52,12 @@ pyFTS.models.multivariate.variable module :members: :undoc-members: :show-inheritance: + +pyFTS.models.multivariate.wmvfts module +-------------------------------------- - -Module contents ---------------- - -.. automodule:: pyFTS.models.multivariate +.. automodule:: pyFTS.models.multivariate.mvfts :members: :undoc-members: :show-inheritance: + diff --git a/pyFTS/models/multivariate/mvfts.py b/pyFTS/models/multivariate/mvfts.py index ca03e25..2ffca85 100644 --- a/pyFTS/models/multivariate/mvfts.py +++ b/pyFTS/models/multivariate/mvfts.py @@ -11,7 +11,7 @@ class MVFTS(fts.FTS): Multivariate extension of Chen's ConventionalFTS method """ def __init__(self, **kwargs): - super(MVFTS, self).__init__(order=1, **kwargs) + super(MVFTS, self).__init__(**kwargs) self.explanatory_variables = [] self.target_variable = None self.flrgs = {} diff --git a/pyFTS/models/multivariate/wmvfts.py b/pyFTS/models/multivariate/wmvfts.py new file mode 100644 index 0000000..9dd3e39 --- /dev/null +++ b/pyFTS/models/multivariate/wmvfts.py @@ -0,0 +1,68 @@ +from pyFTS.common import fts, FuzzySet, FLR, Membership, tree +from pyFTS.partitioners import Grid +from pyFTS.models.multivariate import mvfts, FLR as MVFLR, common, flrg as mvflrg + +import numpy as np +import pandas as pd + + +class WeightedFLRG(mvflrg.FLRG): + """ + Weighted Multivariate Fuzzy Logical Rule Group + """ + + def __init__(self, **kwargs): + super(WeightedFLRG, self).__init__(**kwargs) + self.order = kwargs.get('order', 1) + self.LHS = kwargs.get('lhs', {}) + self.RHS = {} + self.count = 0.0 + self.w = None + + def append_rhs(self, fset, **kwargs): + if fset not in self.RHS: + self.RHS[fset] = 1.0 + else: + self.RHS[fset] += 1.0 + self.count += 1.0 + + def weights(self): + if self.w is None: + self.w = np.array([self.RHS[c] / self.count for c in self.RHS.keys()]) + return self.w + + def get_midpoint(self, sets): + mp = np.array([sets[c].centroid for c in self.RHS.keys()]) + return mp.dot(self.weights()) + + + def __str__(self): + _str = "" + for k in self.RHS.keys(): + _str += ", " if len(_str) > 0 else "" + _str += k + " (" + str(round( self.RHS[k] / self.count, 3)) + ")" + + return self.get_key() + " -> " + _str + + +class WeightedMVFTS(mvfts.MVFTS): + """ + Weighted Multivariate FTS + """ + def __init__(self, **kwargs): + super(WeightedMVFTS, self).__init__(order=1, **kwargs) + self.explanatory_variables = [] + self.target_variable = None + self.flrgs = {} + self.is_multivariate = True + self.shortname = "WeightedMVFTS" + self.name = "Weighted Multivariate FTS" + + def generate_flrg(self, flrs): + for flr in flrs: + flrg = WeightedFLRG(lhs=flr.LHS) + + if flrg.get_key() not in self.flrgs: + self.flrgs[flrg.get_key()] = flrg + + self.flrgs[flrg.get_key()].append_rhs(flr.RHS) diff --git a/pyFTS/tests/multivariate.py b/pyFTS/tests/multivariate.py index 432b0f1..81178ff 100644 --- a/pyFTS/tests/multivariate.py +++ b/pyFTS/tests/multivariate.py @@ -5,7 +5,7 @@ from pyFTS.common import Transformations 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.multivariate import common, variable, mvfts, wmvfts from pyFTS.models.seasonal import partitioner as seasonal from pyFTS.models.seasonal.common import DateTime @@ -16,7 +16,7 @@ from pyFTS.models.multivariate import common, variable, mvfts from pyFTS.models.seasonal import partitioner as seasonal from pyFTS.models.seasonal.common import DateTime -#""" +""" from pyFTS.data import Malaysia dataset = Malaysia.get_dataframe() @@ -71,9 +71,9 @@ for k in [itertools.combinations(var_list, r) for r in range(2,len(var_list))]: model.target_variable = vload model.fit(mv_train) models.append(model) -#""" - """ + +#""" dataset = pd.read_csv('/home/petronio/Downloads/priceHong') dataset['hour'] = dataset.index.values % 24 @@ -92,16 +92,12 @@ vhour = variable.Variable("Hour", data_label="hour", partitioner=seasonal.TimeGr vprice = variable.Variable("Price", data_label="price", partitioner=Grid.GridPartitioner, npart=25, data=train_mv) -model1 = mvfts.MVFTS() +model1 = wmvfts.WeightedMVFTS() model1.shortname += "1" model1.append_variable(vhour) model1.append_variable(vprice) model1.target_variable = vprice model1.fit(train_mv) -model2 = mvfts.MVFTS() -model2.shortname += "2" -model2.append_variable(vhour) -model2.target_variable = vprice -model2.fit(train_mv) -""" \ No newline at end of file +print(model1) +#""" \ No newline at end of file