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+- pyFTS/data/mackey_glass.py | 12 +- pyFTS/data/rossler.py | 21 +- pyFTS/data/sunspots.py | 6 + 157 files changed, 10270 insertions(+), 7630 deletions(-) create mode 100644 docs/_build/doctrees/quickstart.doctree create mode 100644 docs/_build/html/_images/logo_heading.png delete mode 100644 docs/_build/html/_modules/pyFTS/benchmarks/parallel_benchmarks.html create mode 100644 docs/_build/html/_sources/quickstart.rst.txt delete mode 100644 docs/_build/html/_static/alabaster.css create mode 100644 docs/_build/html/_static/alert_info_32.png create mode 100644 docs/_build/html/_static/alert_warning_32.png create mode 100644 docs/_build/html/_static/background_b01.png create mode 100644 docs/_build/html/_static/bg-page.png create mode 100644 docs/_build/html/_static/bizstyle.css create mode 100644 docs/_build/html/_static/bizstyle.js create mode 100644 docs/_build/html/_static/bullet_orange.png create mode 100644 docs/_build/html/_static/classic.css create mode 100644 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a/docs/_build/html/_modules/index.html b/docs/_build/html/_modules/index.html index 87f5b30..17aadd8 100644 --- a/docs/_build/html/_modules/index.html +++ b/docs/_build/html/_modules/index.html @@ -1,29 +1,58 @@ - + + Overview: module code — pyFTS 1.2.3 documentation - + + - - - - - - + + - +

+
@@ -38,7 +67,6 @@
  • pyFTS.benchmarks.benchmarks
  • pyFTS.benchmarks.knn
  • pyFTS.benchmarks.naive
    • -
  • pyFTS.benchmarks.parallel_benchmarks
  • pyFTS.benchmarks.quantreg
  • pyFTS.common.Composite
  • pyFTS.common.FLR
    • @@ -111,41 +139,23 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/benchmarks/Measures.html b/docs/_build/html/_modules/pyFTS/benchmarks/Measures.html index 1983517..f39ab1b 100644 --- a/docs/_build/html/_modules/pyFTS/benchmarks/Measures.html +++ b/docs/_build/html/_modules/pyFTS/benchmarks/Measures.html @@ -1,29 +1,59 @@ - + + pyFTS.benchmarks.Measures — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -490,43 +520,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/benchmarks/ResidualAnalysis.html b/docs/_build/html/_modules/pyFTS/benchmarks/ResidualAnalysis.html index 0ef4d42..c13bdd7 100644 --- a/docs/_build/html/_modules/pyFTS/benchmarks/ResidualAnalysis.html +++ b/docs/_build/html/_modules/pyFTS/benchmarks/ResidualAnalysis.html @@ -1,29 +1,59 @@ - + + pyFTS.benchmarks.ResidualAnalysis — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -190,43 +220,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/benchmarks/Util.html b/docs/_build/html/_modules/pyFTS/benchmarks/Util.html index f1be776..878bed2 100644 --- a/docs/_build/html/_modules/pyFTS/benchmarks/Util.html +++ b/docs/_build/html/_modules/pyFTS/benchmarks/Util.html @@ -1,29 +1,59 @@ - + + pyFTS.benchmarks.Util — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -50,6 +80,12 @@
    [docs]def open_benchmark_db(name): + """ + Open a connection with a Sqlite database designed to store benchmark results. + + :param name: database filenem + :return: a sqlite3 database connection + """ conn = sqlite3.connect(name) #performance optimizations @@ -61,6 +97,11 @@
    [docs]def create_benchmark_tables(conn): + """ + Create a sqlite3 table designed to store benchmark results. + + :param conn: a sqlite3 database connection + """ c = conn.cursor() c.execute('''CREATE TABLE if not exists benchmarks( @@ -73,6 +114,29 @@
    [docs]def insert_benchmark(data, conn): + """ + Insert benchmark data on database + + :param data: a tuple with the benchmark data with format: + + ID: integer incremental primary key + Date: Date/hour of benchmark execution + Dataset: Identify on which dataset the dataset was performed + Tag: a user defined word that indentify a benchmark set + Type: forecasting type (point, interval, distribution) + Model: FTS model + Transformation: The name of data transformation, if one was used + Order: the order of the FTS method + Scheme: UoD partitioning scheme + Partitions: Number of partitions + Size: Number of rules of the FTS model + Steps: prediction horizon, i. e., the number of steps ahead + Measure: accuracy measure + Value: the measure value + + :param conn: a sqlite3 database connection + :return: + """ c = conn.cursor() c.execute("INSERT INTO benchmarks(Date, Dataset, Tag, Type, Model, " @@ -83,6 +147,15 @@
    [docs]def process_common_data(dataset, tag, type, job): + """ + Wraps benchmark information on a tuple for sqlite database + + :param dataset: benchmark dataset + :param tag: benchmark set alias + :param type: forecasting type + :param job: a dictionary with benchmark data + :return: tuple for sqlite database + """ model = job["obj"] if model.benchmark_only: data = [dataset, tag, type, model.shortname, @@ -99,6 +172,13 @@
    [docs]def get_dataframe_from_bd(file, filter): + """ + Query the sqlite benchmark database and return a pandas dataframe with the results + + :param file: the url of the benchmark database + :param filter: sql conditions to filter + :return: pandas dataframe with the query results + """ con = sqlite3.connect(file) sql = "SELECT * from benchmarks" if filter is not None: @@ -1244,43 +1324,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/benchmarks/arima.html b/docs/_build/html/_modules/pyFTS/benchmarks/arima.html index ea192cd..4700cc8 100644 --- a/docs/_build/html/_modules/pyFTS/benchmarks/arima.html +++ b/docs/_build/html/_modules/pyFTS/benchmarks/arima.html @@ -1,29 +1,59 @@ - + + pyFTS.benchmarks.arima — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -245,43 +275,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/benchmarks/benchmarks.html b/docs/_build/html/_modules/pyFTS/benchmarks/benchmarks.html index d586890..3bd2bfb 100644 --- a/docs/_build/html/_modules/pyFTS/benchmarks/benchmarks.html +++ b/docs/_build/html/_modules/pyFTS/benchmarks/benchmarks.html @@ -1,29 +1,59 @@ - + + pyFTS.benchmarks.benchmarks — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -352,7 +382,7 @@
    [docs]def run_point(mfts, partitioner, train_data, test_data, window_key=None, **kwargs): """ - Point forecast benchmark function to be executed on cluster nodes + Run the point forecasting benchmarks :param mfts: FTS model :param partitioner: Universe of Discourse partitioner @@ -416,7 +446,7 @@
    [docs]def run_interval(mfts, partitioner, train_data, test_data, window_key=None, **kwargs): """ - Interval forecast benchmark function to be executed on cluster nodes + Run the interval forecasting benchmarks :param mfts: FTS model :param partitioner: Universe of Discourse partitioner @@ -475,7 +505,7 @@
    [docs]def run_probabilistic(mfts, partitioner, train_data, test_data, window_key=None, **kwargs): """ - Probabilistic forecast benchmark function to be executed on cluster nodes + Run the probabilistic forecasting benchmarks :param mfts: FTS model :param partitioner: Universe of Discourse partitioner @@ -537,6 +567,15 @@
    [docs]def process_point_jobs(dataset, tag, job, conn): + """ + Extract information from a dictionary with point benchmark results and save it on a database + + :param dataset: the benchmark dataset name + :param tag: alias for the benchmark group being executed + :param job: a dictionary with the benchmark results + :param conn: a connection to a Sqlite database + :return: + """ data = bUtil.process_common_data(dataset, tag, 'point',job) @@ -555,6 +594,15 @@
    [docs]def process_interval_jobs(dataset, tag, job, conn): + """ + Extract information from an dictionary with interval benchmark results and save it on a database + + :param dataset: the benchmark dataset name + :param tag: alias for the benchmark group being executed + :param job: a dictionary with the benchmark results + :param conn: a connection to a Sqlite database + :return: + """ data = bUtil.process_common_data(dataset, tag, 'interval', job) @@ -591,6 +639,15 @@
    [docs]def process_probabilistic_jobs(dataset, tag, job, conn): + """ + Extract information from an dictionary with probabilistic benchmark results and save it on a database + + :param dataset: the benchmark dataset name + :param tag: alias for the benchmark group being executed + :param job: a dictionary with the benchmark results + :param conn: a connection to a Sqlite database + :return: + """ data = bUtil.process_common_data(dataset, tag, 'density', job) @@ -606,6 +663,16 @@ -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/benchmarks/knn.html b/docs/_build/html/_modules/pyFTS/benchmarks/knn.html index 22cb9af..e369010 100644 --- a/docs/_build/html/_modules/pyFTS/benchmarks/knn.html +++ b/docs/_build/html/_modules/pyFTS/benchmarks/knn.html @@ -1,29 +1,59 @@ - + + pyFTS.benchmarks.knn — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -104,43 +134,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/benchmarks/naive.html b/docs/_build/html/_modules/pyFTS/benchmarks/naive.html index 56d858e..41cd02d 100644 --- a/docs/_build/html/_modules/pyFTS/benchmarks/naive.html +++ b/docs/_build/html/_modules/pyFTS/benchmarks/naive.html @@ -1,29 +1,59 @@ - + + pyFTS.benchmarks.naive — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -54,43 +84,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/benchmarks/parallel_benchmarks.html b/docs/_build/html/_modules/pyFTS/benchmarks/parallel_benchmarks.html deleted file mode 100644 index 2dd72f2..0000000 --- a/docs/_build/html/_modules/pyFTS/benchmarks/parallel_benchmarks.html +++ /dev/null @@ -1,476 +0,0 @@ - - - - - - - - pyFTS.benchmarks.parallel_benchmarks — pyFTS 1.2.3 documentation - - - - - - - - - - - - - - - - - - -
    -
    -
    -
    - -

    Source code for pyFTS.benchmarks.parallel_benchmarks

    -"""
-joblib Parallelized Benchmarks to FTS methods
-"""
-
-import datetime
-import multiprocessing
-import time
-from copy import deepcopy
-
-import numpy as np
-from joblib import Parallel, delayed
-
-from pyFTS.benchmarks import benchmarks, Util as bUtil
-from pyFTS.common import Util
-from pyFTS.partitioners import Grid
-
-
-
    [docs]def run_point(mfts, partitioner, train_data, test_data, transformation=None, indexer=None):
-    """
-    Point forecast benchmark function to be executed on threads
-    :param mfts: FTS model
-    :param partitioner: Universe of Discourse partitioner
-    :param train_data: data used to train the model
-    :param test_data: ata used to test the model
-    :param window_key: id of the sliding window
-    :param transformation: data transformation
-    :param indexer: seasonal indexer
-    :return: a dictionary with the benchmark results 
-    """
-    pttr = str(partitioner.__module__).split('.')[-1]
-    _key = mfts.shortname + " n = " + str(mfts.order) + " " + pttr + " q = " + str(partitioner.partitions)
-    mfts.partitioner = partitioner
-    if transformation is not None:
-        mfts.append_transformation(transformation)
-
-    try:
-        _start = time.time()
-        mfts.train(train_data, partitioner.sets, order=mfts.order)
-        _end = time.time()
-        times = _end - _start
-
-        _start = time.time()
-        _rmse, _smape, _u = benchmarks.get_point_statistics(test_data, mfts, indexer)
-        _end = time.time()
-        times += _end - _start
-    except Exception as e:
-        print(e)
-        _rmse = np.nan
-        _smape = np.nan
-        _u = np.nan
-        times = np.nan
-
-    ret = {'key': _key, 'obj': mfts, 'rmse': _rmse, 'smape': _smape, 'u': _u, 'time': times}
-
-    print(ret)
-
-    return ret
    
-
-
-
    [docs]def point_sliding_window(data, windowsize, train=0.8, models=None, partitioners=[Grid.GridPartitioner],
-                         partitions=[10], max_order=3, transformation=None, indexer=None, dump=False,
-                         save=False, file=None, sintetic=False):
-    """
-    Parallel sliding window benchmarks for FTS point forecasters
-    :param data: 
-    :param windowsize: size of sliding window
-    :param train: percentual of sliding window data used to train the models
-    :param models: FTS point forecasters
-    :param partitioners: Universe of Discourse partitioner
-    :param partitions: the max number of partitions on the Universe of Discourse 
-    :param max_order: the max order of the models (for high order models)
-    :param transformation: data transformation
-    :param indexer: seasonal indexer
-    :param dump: 
-    :param save: save results
-    :param file: file path to save the results
-    :param sintetic: if true only the average and standard deviation of the results
-    :return: DataFrame with the results
-    """
-    _process_start = time.time()
-
-    print("Process Start: {0: %H:%M:%S}".format(datetime.datetime.now()))
-
-    num_cores = multiprocessing.cpu_count()
-
-    pool = []
-
-    objs = {}
-    rmse = {}
-    smape = {}
-    u = {}
-    times = {}
-
-    for model in benchmarks.get_point_methods():
-        mfts = model("")
-
-        if mfts.is_high_order:
-            for order in np.arange(1, max_order + 1):
-                if order >= mfts.min_order:
-                    mfts = model("")
-                    mfts.order = order
-                    pool.append(mfts)
-        else:
-            pool.append(mfts)
-
-    experiments = 0
-    for ct, train, test in Util.sliding_window(data, windowsize, train):
-        experiments += 1
-
-        if dump: print('\nWindow: {0}\n'.format(ct))
-
-        for partition in partitions:
-
-            for partitioner in partitioners:
-
-                data_train_fs = partitioner(train, partition, transformation=transformation)
-
-                results = Parallel(n_jobs=num_cores)(
-                    delayed(run_point)(deepcopy(m), deepcopy(data_train_fs), deepcopy(train), deepcopy(test),
-                                       transformation)
-                    for m in pool)
-
-                for tmp in results:
-                    if tmp['key'] not in objs:
-                        objs[tmp['key']] = tmp['obj']
-                        rmse[tmp['key']] = []
-                        smape[tmp['key']] = []
-                        u[tmp['key']] = []
-                        times[tmp['key']] = []
-                    rmse[tmp['key']].append_rhs(tmp['rmse'])
-                    smape[tmp['key']].append_rhs(tmp['smape'])
-                    u[tmp['key']].append_rhs(tmp['u'])
-                    times[tmp['key']].append_rhs(tmp['time'])
-
-    _process_end = time.time()
-
-    print("Process End: {0: %H:%M:%S}".format(datetime.datetime.now()))
-
-    print("Process Duration: {0}".format(_process_end - _process_start))
-
-    return Util.save_dataframe_point(experiments, file, objs, rmse, save, sintetic, smape, times, u)
    
-
-
-
    [docs]def run_interval(mfts, partitioner, train_data, test_data, transformation=None, indexer=None):
-    """
-    Interval forecast benchmark function to be executed on threads
-    :param mfts: FTS model
-    :param partitioner: Universe of Discourse partitioner
-    :param train_data: data used to train the model
-    :param test_data: ata used to test the model
-    :param window_key: id of the sliding window
-    :param transformation: data transformation
-    :param indexer: seasonal indexer
-    :return: a dictionary with the benchmark results 
-    """
-    pttr = str(partitioner.__module__).split('.')[-1]
-    _key = mfts.shortname + " n = " + str(mfts.order) + " " + pttr + " q = " + str(partitioner.partitions)
-    mfts.partitioner = partitioner
-    if transformation is not None:
-        mfts.append_transformation(transformation)
-
-    try:
-        _start = time.time()
-        mfts.train(train_data, partitioner.sets, order=mfts.order)
-        _end = time.time()
-        times = _end - _start
-
-        _start = time.time()
-        _sharp, _res, _cov = benchmarks.get_interval_statistics(test_data, mfts)
-        _end = time.time()
-        times += _end - _start
-    except Exception as e:
-        print(e)
-        _sharp = np.nan
-        _res = np.nan
-        _cov = np.nan
-        times = np.nan
-
-    ret = {'key': _key, 'obj': mfts, 'sharpness': _sharp, 'resolution': _res, 'coverage': _cov, 'time': times}
-
-    print(ret)
-
-    return ret
    
-
-
-
    [docs]def interval_sliding_window(data, windowsize, train=0.8, models=None, partitioners=[Grid.GridPartitioner],
-                         partitions=[10], max_order=3, transformation=None, indexer=None, dump=False,
-                         save=False, file=None, sintetic=False):
-    """
-     Parallel sliding window benchmarks for FTS point_to_interval forecasters
-     :param data: 
-     :param windowsize: size of sliding window
-     :param train: percentual of sliding window data used to train the models
-     :param models: FTS point forecasters
-     :param partitioners: Universe of Discourse partitioner
-     :param partitions: the max number of partitions on the Universe of Discourse 
-     :param max_order: the max order of the models (for high order models)
-     :param transformation: data transformation
-     :param indexer: seasonal indexer
-     :param dump: 
-     :param save: save results
-     :param file: file path to save the results
-     :param sintetic: if true only the average and standard deviation of the results
-     :return: DataFrame with the results
-     """
-    _process_start = time.time()
-
-    print("Process Start: {0: %H:%M:%S}".format(datetime.datetime.now()))
-
-    num_cores = multiprocessing.cpu_count()
-
-    pool = []
-
-    objs = {}
-    sharpness = {}
-    resolution = {}
-    coverage = {}
-    times = {}
-
-    for model in benchmarks.get_interval_methods():
-        mfts = model("")
-
-        if mfts.is_high_order:
-            for order in np.arange(1, max_order + 1):
-                if order >= mfts.min_order:
-                    mfts = model("")
-                    mfts.order = order
-                    pool.append(mfts)
-        else:
-            pool.append(mfts)
-
-    experiments = 0
-    for ct, train, test in Util.sliding_window(data, windowsize, train):
-        experiments += 1
-
-        if dump: print('\nWindow: {0}\n'.format(ct))
-
-        for partition in partitions:
-
-            for partitioner in partitioners:
-
-                data_train_fs = partitioner(train, partition, transformation=transformation)
-
-                results = Parallel(n_jobs=num_cores)(
-                    delayed(run_interval)(deepcopy(m), deepcopy(data_train_fs), deepcopy(train), deepcopy(test),
-                                       transformation)
-                    for m in pool)
-
-                for tmp in results:
-                    if tmp['key'] not in objs:
-                        objs[tmp['key']] = tmp['obj']
-                        sharpness[tmp['key']] = []
-                        resolution[tmp['key']] = []
-                        coverage[tmp['key']] = []
-                        times[tmp['key']] = []
-
-                    sharpness[tmp['key']].append_rhs(tmp['sharpness'])
-                    resolution[tmp['key']].append_rhs(tmp['resolution'])
-                    coverage[tmp['key']].append_rhs(tmp['coverage'])
-                    times[tmp['key']].append_rhs(tmp['time'])
-
-    _process_end = time.time()
-
-    print("Process End: {0: %H:%M:%S}".format(datetime.datetime.now()))
-
-    print("Process Duration: {0}".format(_process_end - _process_start))
-
-    return Util.save_dataframe_interval(coverage, experiments, file, objs, resolution, save, sharpness, sintetic, times)
    
-
-
-
    [docs]def run_ahead(mfts, partitioner, train_data, test_data, steps, resolution, transformation=None, indexer=None):
-    """
-    Probabilistic m-step ahead forecast benchmark function to be executed on threads
-    :param mfts: FTS model
-    :param partitioner: Universe of Discourse partitioner
-    :param train_data: data used to train the model
-    :param test_data: ata used to test the model 
-    :param steps: 
-    :param resolution: 
-    :param transformation: data transformation
-    :param indexer: seasonal indexer
-    :return: a dictionary with the benchmark results 
-    """
-    pttr = str(partitioner.__module__).split('.')[-1]
-    _key = mfts.shortname + " n = " + str(mfts.order) + " " + pttr + " q = " + str(partitioner.partitions)
-    mfts.partitioner = partitioner
-    if transformation is not None:
-        mfts.append_transformation(transformation)
-
-    try:
-        _start = time.time()
-        mfts.train(train_data, partitioner.sets, order=mfts.order)
-        _end = time.time()
-        times = _end - _start
-
-        _crps1, _crps2, _t1, _t2 = benchmarks.get_distribution_statistics(test_data, mfts, steps=steps,
-                                                              resolution=resolution)
-        _t1 += times
-        _t2 += times
-    except Exception as e:
-        print(e)
-        _crps1 = np.nan
-        _crps2 = np.nan
-        _t1 = np.nan
-        _t2 = np.nan
-
-    ret = {'key': _key, 'obj': mfts, 'CRPS_Interval': _crps1, 'CRPS_Distribution': _crps2, 'TIME_Interval': _t1, 'TIME_Distribution': _t2}
-
-    print(ret)
-
-    return ret
    
-
-
-
    [docs]def ahead_sliding_window(data, windowsize, train, steps,resolution, models=None, partitioners=[Grid.GridPartitioner],
-                         partitions=[10], max_order=3, transformation=None, indexer=None, dump=False,
-                         save=False, file=None, sintetic=False):
-    """
-    Parallel sliding window benchmarks for FTS probabilistic forecasters
-    :param data: 
-    :param windowsize: size of sliding window
-    :param train: percentual of sliding window data used to train the models
-    :param steps: 
-    :param resolution: 
-    :param models: FTS point forecasters
-    :param partitioners: Universe of Discourse partitioner
-    :param partitions: the max number of partitions on the Universe of Discourse 
-    :param max_order: the max order of the models (for high order models)
-    :param transformation: data transformation
-    :param indexer: seasonal indexer
-    :param dump: 
-    :param save: save results
-    :param file: file path to save the results
-    :param sintetic: if true only the average and standard deviation of the results
-    :return: DataFrame with the results 
-    """
-    _process_start = time.time()
-
-    print("Process Start: {0: %H:%M:%S}".format(datetime.datetime.now()))
-
-    num_cores = multiprocessing.cpu_count()
-
-    pool = []
-
-    objs = {}
-    crps_interval = {}
-    crps_distr = {}
-    times1 = {}
-    times2 = {}
-
-    for model in benchmarks.get_interval_methods():
-        mfts = model("")
-
-        if mfts.is_high_order:
-            for order in np.arange(1, max_order + 1):
-                if order >= mfts.min_order:
-                    mfts = model("")
-                    mfts.order = order
-                    pool.append(mfts)
-        else:
-            pool.append(mfts)
-
-    experiments = 0
-    for ct, train, test in Util.sliding_window(data, windowsize, train):
-        experiments += 1
-
-        if dump: print('\nWindow: {0}\n'.format(ct))
-
-        for partition in partitions:
-
-            for partitioner in partitioners:
-
-                data_train_fs = partitioner(train, partition, transformation=transformation)
-
-                results = Parallel(n_jobs=num_cores)(
-                    delayed(run_ahead)(deepcopy(m), deepcopy(data_train_fs), deepcopy(train), deepcopy(test),
-                                       steps, resolution, transformation)
-                    for m in pool)
-
-                for tmp in results:
-                    if tmp['key'] not in objs:
-                        objs[tmp['key']] = tmp['obj']
-                        crps_interval[tmp['key']] = []
-                        crps_distr[tmp['key']] = []
-                        times1[tmp['key']] = []
-                        times2[tmp['key']] = []
-
-                    crps_interval[tmp['key']].append_rhs(tmp['CRPS_Interval'])
-                    crps_distr[tmp['key']].append_rhs(tmp['CRPS_Distribution'])
-                    times1[tmp['key']].append_rhs(tmp['TIME_Interval'])
-                    times2[tmp['key']].append_rhs(tmp['TIME_Distribution'])
-
-    _process_end = time.time()
-
-    print("Process End: {0: %H:%M:%S}".format(datetime.datetime.now()))
-
-    print("Process Duration: {0}".format(_process_end - _process_start))
-
-    return Util.save_dataframe_ahead(experiments, file, objs, crps_interval, crps_distr, times1, times2, save, sintetic)
    
-
    - -
    -
    -
    - -
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - -
    - - - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/benchmarks/quantreg.html b/docs/_build/html/_modules/pyFTS/benchmarks/quantreg.html index d085f92..e3631bf 100644 --- a/docs/_build/html/_modules/pyFTS/benchmarks/quantreg.html +++ b/docs/_build/html/_modules/pyFTS/benchmarks/quantreg.html @@ -1,29 +1,59 @@ - + + pyFTS.benchmarks.quantreg — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -189,43 +219,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/common/Composite.html b/docs/_build/html/_modules/pyFTS/common/Composite.html index 971c7ed..4d1ae9d 100644 --- a/docs/_build/html/_modules/pyFTS/common/Composite.html +++ b/docs/_build/html/_modules/pyFTS/common/Composite.html @@ -1,29 +1,59 @@ - + + pyFTS.common.Composite — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -95,43 +125,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/common/FLR.html b/docs/_build/html/_modules/pyFTS/common/FLR.html index c129dd0..f4e056c 100644 --- a/docs/_build/html/_modules/pyFTS/common/FLR.html +++ b/docs/_build/html/_modules/pyFTS/common/FLR.html @@ -1,29 +1,59 @@ - + + pyFTS.common.FLR — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -154,43 +184,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/common/FuzzySet.html b/docs/_build/html/_modules/pyFTS/common/FuzzySet.html index 26d3814..5829dcd 100644 --- a/docs/_build/html/_modules/pyFTS/common/FuzzySet.html +++ b/docs/_build/html/_modules/pyFTS/common/FuzzySet.html @@ -1,29 +1,59 @@ - + + pyFTS.common.FuzzySet — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -232,43 +262,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/common/Membership.html b/docs/_build/html/_modules/pyFTS/common/Membership.html index 3e01b9b..9cace4d 100644 --- a/docs/_build/html/_modules/pyFTS/common/Membership.html +++ b/docs/_build/html/_modules/pyFTS/common/Membership.html @@ -1,29 +1,59 @@ - + + pyFTS.common.Membership — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -115,43 +145,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/common/SortedCollection.html b/docs/_build/html/_modules/pyFTS/common/SortedCollection.html index c2b69a6..9e0f11c 100644 --- a/docs/_build/html/_modules/pyFTS/common/SortedCollection.html +++ b/docs/_build/html/_modules/pyFTS/common/SortedCollection.html @@ -1,29 +1,59 @@ - + + pyFTS.common.SortedCollection — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -263,43 +293,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/common/Transformations.html b/docs/_build/html/_modules/pyFTS/common/Transformations.html index 196b132..5ddbc69 100644 --- a/docs/_build/html/_modules/pyFTS/common/Transformations.html +++ b/docs/_build/html/_modules/pyFTS/common/Transformations.html @@ -1,29 +1,59 @@ - + + pyFTS.common.Transformations — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -271,43 +301,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/common/Util.html b/docs/_build/html/_modules/pyFTS/common/Util.html index 8df5383..392b04c 100644 --- a/docs/_build/html/_modules/pyFTS/common/Util.html +++ b/docs/_build/html/_modules/pyFTS/common/Util.html @@ -1,29 +1,59 @@ - + + pyFTS.common.Util — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -371,43 +401,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/common/flrg.html b/docs/_build/html/_modules/pyFTS/common/flrg.html index aef3721..370b828 100644 --- a/docs/_build/html/_modules/pyFTS/common/flrg.html +++ b/docs/_build/html/_modules/pyFTS/common/flrg.html @@ -1,29 +1,59 @@ - + + pyFTS.common.flrg — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -146,43 +176,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/common/fts.html b/docs/_build/html/_modules/pyFTS/common/fts.html index 2b5b7df..69bbcc3 100644 --- a/docs/_build/html/_modules/pyFTS/common/fts.html +++ b/docs/_build/html/_modules/pyFTS/common/fts.html @@ -1,29 +1,59 @@ - + + pyFTS.common.fts — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -512,43 +542,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/common/tree.html b/docs/_build/html/_modules/pyFTS/common/tree.html index 4ab91a7..ba300b0 100644 --- a/docs/_build/html/_modules/pyFTS/common/tree.html +++ b/docs/_build/html/_modules/pyFTS/common/tree.html @@ -1,29 +1,59 @@ - + + pyFTS.common.tree — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -109,43 +139,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/AirPassengers.html b/docs/_build/html/_modules/pyFTS/data/AirPassengers.html index 3b458d6..c81edce 100644 --- a/docs/_build/html/_modules/pyFTS/data/AirPassengers.html +++ b/docs/_build/html/_modules/pyFTS/data/AirPassengers.html @@ -1,29 +1,59 @@ - + + pyFTS.data.AirPassengers — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -31,7 +61,13 @@

    Source code for pyFTS.data.AirPassengers

    -from pyFTS.data import common
+"""
+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/.
+"""
+
+from pyFTS.data import common
 import pandas as pd
 import numpy as np
 
@@ -62,43 +98,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/Enrollments.html b/docs/_build/html/_modules/pyFTS/data/Enrollments.html index 9921474..002464f 100644 --- a/docs/_build/html/_modules/pyFTS/data/Enrollments.html +++ b/docs/_build/html/_modules/pyFTS/data/Enrollments.html @@ -1,29 +1,59 @@ - + + pyFTS.data.Enrollments — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -31,7 +61,11 @@

    Source code for pyFTS.data.Enrollments

    -from pyFTS.data import common
+"""
+Yearly University of Alabama enrollments from 1971 to 1992.
+"""
+
+from pyFTS.data import common
 import pandas as pd
 import numpy as np
 
@@ -57,43 +91,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/INMET.html b/docs/_build/html/_modules/pyFTS/data/INMET.html index 1f224e0..f231a9d 100644 --- a/docs/_build/html/_modules/pyFTS/data/INMET.html +++ b/docs/_build/html/_modules/pyFTS/data/INMET.html @@ -1,29 +1,59 @@ - + + pyFTS.data.INMET — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -59,43 +89,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/NASDAQ.html b/docs/_build/html/_modules/pyFTS/data/NASDAQ.html index 272d6c5..f0195cb 100644 --- a/docs/_build/html/_modules/pyFTS/data/NASDAQ.html +++ b/docs/_build/html/_modules/pyFTS/data/NASDAQ.html @@ -1,29 +1,59 @@ - + + pyFTS.data.NASDAQ — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -31,7 +61,15 @@

    Source code for pyFTS.data.NASDAQ

    -from pyFTS.data import common
+"""
+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
+"""
+
+from pyFTS.data import common
 import pandas as pd
 import numpy as np
 
@@ -64,43 +102,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/SONDA.html b/docs/_build/html/_modules/pyFTS/data/SONDA.html index 57e831b..2748057 100644 --- a/docs/_build/html/_modules/pyFTS/data/SONDA.html +++ b/docs/_build/html/_modules/pyFTS/data/SONDA.html @@ -1,29 +1,59 @@ - + + pyFTS.data.SONDA — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -73,43 +103,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/SP500.html b/docs/_build/html/_modules/pyFTS/data/SP500.html index 3674df9..984db10 100644 --- a/docs/_build/html/_modules/pyFTS/data/SP500.html +++ b/docs/_build/html/_modules/pyFTS/data/SP500.html @@ -1,29 +1,59 @@ - + + pyFTS.data.SP500 — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -31,7 +61,15 @@

    Source code for pyFTS.data.SP500

    -from pyFTS.data import common
+"""
+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
+"""
+
+from pyFTS.data import common
 import pandas as pd
 import numpy as np
 
@@ -62,43 +100,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/TAIEX.html b/docs/_build/html/_modules/pyFTS/data/TAIEX.html index d60abbc..d679acb 100644 --- a/docs/_build/html/_modules/pyFTS/data/TAIEX.html +++ b/docs/_build/html/_modules/pyFTS/data/TAIEX.html @@ -1,29 +1,59 @@ - + + pyFTS.data.TAIEX — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -31,7 +61,14 @@

    Source code for pyFTS.data.TAIEX

    -from pyFTS.data import common
+"""
+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
+"""
+from pyFTS.data import common
 import pandas as pd
 import numpy as np
 
@@ -64,43 +101,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/artificial.html b/docs/_build/html/_modules/pyFTS/data/artificial.html index b995bd2..ab1ff24 100644 --- a/docs/_build/html/_modules/pyFTS/data/artificial.html +++ b/docs/_build/html/_modules/pyFTS/data/artificial.html @@ -1,29 +1,59 @@ - + + pyFTS.data.artificial — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -116,43 +146,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/common.html b/docs/_build/html/_modules/pyFTS/data/common.html index 217fca1..2636083 100644 --- a/docs/_build/html/_modules/pyFTS/data/common.html +++ b/docs/_build/html/_modules/pyFTS/data/common.html @@ -1,29 +1,59 @@ - + + pyFTS.data.common — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -66,43 +96,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/henon.html b/docs/_build/html/_modules/pyFTS/data/henon.html index c3837fa..e94e2a4 100644 --- a/docs/_build/html/_modules/pyFTS/data/henon.html +++ b/docs/_build/html/_modules/pyFTS/data/henon.html @@ -1,29 +1,59 @@ - + + pyFTS.data.henon — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -31,20 +61,30 @@

    Source code for pyFTS.data.henon

    -import numpy as np
+"""
+M. Hénon. "A two-dimensional mapping with a strange attractor". Commun. Math. Phys. 50, 69-77 (1976)
+
+dx/dt = a + by(t-1) - x(t-1)^2
+dy/dt = x
+"""
+
+import numpy as np
 import pandas as pd
 
 
 
    [docs]def get_data(var, a=1.4, b=0.3, initial_values = [1, 1], iterations=1000):
+    """
+    Get a simple univariate time series data.
+
+    :param var: the dataset field name to extract
+    :return: numpy array
+    """
     return get_dataframe(a,b, initial_values, iterations)[var].values
    
 
 
 
    [docs]def get_dataframe(a=1.4, b=0.3, initial_values = [1, 1], iterations=1000):
     '''
-    M. Hénon. "A two-dimensional mapping with a strange attractor". Commun. Math. Phys. 50, 69-77 (1976)
-
-    dx/dt = a + by(t-1) - x(t-1)^2
-    dy/dt = x
+    Return a dataframe with the bivariate Henon Map time series (x, y).
 
     :param a: Equation coefficient
     :param b: Equation coefficient
@@ -66,43 +106,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/logistic_map.html b/docs/_build/html/_modules/pyFTS/data/logistic_map.html index 7da5bed..1d86531 100644 --- a/docs/_build/html/_modules/pyFTS/data/logistic_map.html +++ b/docs/_build/html/_modules/pyFTS/data/logistic_map.html @@ -1,29 +1,59 @@ - + + pyFTS.data.logistic_map — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -31,17 +61,19 @@

    Source code for pyFTS.data.logistic_map

    -#
+"""
+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) )
+"""
 
 import numpy as np
 
 
 
    [docs]def get_data(r = 4, initial_value = 0.3, iterations=100):
     '''
-    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) )
+    Return a list with the logistic map chaotic time series.
 
     :param r: Equation coefficient
     :param initial_value: Initial value of x. Default: 0.3
@@ -58,43 +90,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/lorentz.html b/docs/_build/html/_modules/pyFTS/data/lorentz.html index 07dff85..6e7be1e 100644 --- a/docs/_build/html/_modules/pyFTS/data/lorentz.html +++ b/docs/_build/html/_modules/pyFTS/data/lorentz.html @@ -1,29 +1,59 @@ - + + pyFTS.data.lorentz — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -31,24 +61,34 @@

    Source code for pyFTS.data.lorentz

    -import numpy as np
+"""
+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)
+dy/dt = x(b - z) - y
+dz/dt = xy - cz
+"""
+
+import numpy as np
 import pandas as pd
 
 
 
    [docs]def get_data(var, a = 10.0, b = 28.0, c = 8.0 / 3.0, dt = 0.01,
                   initial_values = [0.1, 0, 0], iterations=1000):
+    """
+        Get a simple univariate time series data.
+
+        :param var: the dataset field name to extract
+        :return: numpy array
+        """
     return get_dataframe(a, b, c, dt, initial_values, iterations)[var].values
    
 
 
 
    [docs]def get_dataframe(a = 10.0, b = 28.0, c = 8.0 / 3.0, dt = 0.01,
                   initial_values = [0.1, 0, 0], iterations=1000):
     '''
-    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)
-    dy/dt = x(b - z) - y
-    dz/dt = xy - cz
+    Return a dataframe with the multivariate Lorenz Map time series (x, y, z).
 
     :param a: Equation coefficient. Default value: 10
     :param b: Equation coefficient. Default value: 28
@@ -77,43 +117,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/mackey_glass.html b/docs/_build/html/_modules/pyFTS/data/mackey_glass.html index 8775b2c..a982f06 100644 --- a/docs/_build/html/_modules/pyFTS/data/mackey_glass.html +++ b/docs/_build/html/_modules/pyFTS/data/mackey_glass.html @@ -1,29 +1,59 @@ - + + pyFTS.data.mackey_glass — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -31,15 +61,19 @@

    Source code for pyFTS.data.mackey_glass

    -import numpy as np
+"""
+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
+"""
+
+import numpy as np
 
 
 
    [docs]def get_data(b=0.1, c=0.2, tau=17, initial_values = np.linspace(0.5,1.5, 18), iterations=1000):
     '''
-    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
+    Return a list with the Mackey-Glass chaotic time series.
 
     :param b: Equation coefficient
     :param c: Equation coefficient
@@ -59,43 +93,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/rossler.html b/docs/_build/html/_modules/pyFTS/data/rossler.html index 38c5c8d..89d1e72 100644 --- a/docs/_build/html/_modules/pyFTS/data/rossler.html +++ b/docs/_build/html/_modules/pyFTS/data/rossler.html @@ -1,29 +1,59 @@ - + + pyFTS.data.rossler — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -31,23 +61,34 @@

    Source code for pyFTS.data.rossler

    -import numpy as np
+"""
+O. E. Rössler, Phys. Lett. 57A, 397 (1976).
+
+dx/dt = -z - y
+dy/dt = x + ay
+dz/dt = b + z( x - c )
+
+"""
+
+import numpy as np
 import pandas as pd
 
 
 
    [docs]def get_data(var, a = 0.2, b = 0.2, c = 5.7, dt = 0.01,
                   initial_values = [0.001, 0.001, 0.001], iterations=5000):
+    """
+    Get a simple univariate time series data.
+
+    :param var: the dataset field name to extract
+    :return: numpy array
+    """
     return get_dataframe(a, b, c, dt, initial_values, iterations)[var].values
    
 
 
 
    [docs]def get_dataframe(a = 0.2, b = 0.2, c = 5.7, dt = 0.01,
                   initial_values = [0.001, 0.001, 0.001], iterations=5000):
     '''
-    O. E. Rössler, Phys. Lett. 57A, 397 (1976).
-
-    dx/dt = -z - y
-    dy/dt = x + ay
-    dz/dt = b + z( x - c )
+    Return a dataframe with the multivariate Rössler Map time series (x, y, z).
 
     :param a: Equation coefficient. Default value: 0.2
     :param b: Equation coefficient. Default value: 0.2
@@ -76,43 +117,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/data/sunspots.html b/docs/_build/html/_modules/pyFTS/data/sunspots.html index 2bf57b8..42ec489 100644 --- a/docs/_build/html/_modules/pyFTS/data/sunspots.html +++ b/docs/_build/html/_modules/pyFTS/data/sunspots.html @@ -1,29 +1,59 @@ - + + pyFTS.data.sunspots — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -31,7 +61,13 @@

    Source code for pyFTS.data.sunspots

    -from pyFTS.data import common
+"""
+Monthly sunspot numbers from 1749 to May 2016
+
+Source: https://www.esrl.noaa.gov/psd/gcos_wgsp/Timeseries/SUNSPOT/
+"""
+
+from pyFTS.data import common
 import pandas as pd
 import numpy as np
 
@@ -61,43 +97,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/chen.html b/docs/_build/html/_modules/pyFTS/models/chen.html index b623631..c9089f3 100644 --- a/docs/_build/html/_modules/pyFTS/models/chen.html +++ b/docs/_build/html/_modules/pyFTS/models/chen.html @@ -1,29 +1,59 @@ - + + pyFTS.models.chen — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -112,43 +142,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/cheng.html b/docs/_build/html/_modules/pyFTS/models/cheng.html index 55f71d3..c85064b 100644 --- a/docs/_build/html/_modules/pyFTS/models/cheng.html +++ b/docs/_build/html/_modules/pyFTS/models/cheng.html @@ -1,29 +1,59 @@ - + + pyFTS.models.cheng — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -97,43 +127,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/ensemble/ensemble.html b/docs/_build/html/_modules/pyFTS/models/ensemble/ensemble.html index 8404b36..286f1a2 100644 --- a/docs/_build/html/_modules/pyFTS/models/ensemble/ensemble.html +++ b/docs/_build/html/_modules/pyFTS/models/ensemble/ensemble.html @@ -1,29 +1,59 @@ - + + pyFTS.models.ensemble.ensemble — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -338,43 +368,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/ensemble/multiseasonal.html b/docs/_build/html/_modules/pyFTS/models/ensemble/multiseasonal.html index 11df525..3656aab 100644 --- a/docs/_build/html/_modules/pyFTS/models/ensemble/multiseasonal.html +++ b/docs/_build/html/_modules/pyFTS/models/ensemble/multiseasonal.html @@ -1,29 +1,59 @@ - + + pyFTS.models.ensemble.multiseasonal — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -127,43 +157,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/hofts.html b/docs/_build/html/_modules/pyFTS/models/hofts.html index e88faf1..4194281 100644 --- a/docs/_build/html/_modules/pyFTS/models/hofts.html +++ b/docs/_build/html/_modules/pyFTS/models/hofts.html @@ -1,29 +1,59 @@ - + + pyFTS.models.hofts — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -174,43 +204,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/hwang.html b/docs/_build/html/_modules/pyFTS/models/hwang.html index 63ebb0a..34d0991 100644 --- a/docs/_build/html/_modules/pyFTS/models/hwang.html +++ b/docs/_build/html/_modules/pyFTS/models/hwang.html @@ -1,29 +1,59 @@ - + + pyFTS.models.hwang — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -101,43 +131,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/ifts.html b/docs/_build/html/_modules/pyFTS/models/ifts.html index a1bdfdd..6b89988 100644 --- a/docs/_build/html/_modules/pyFTS/models/ifts.html +++ b/docs/_build/html/_modules/pyFTS/models/ifts.html @@ -1,29 +1,59 @@ - + + pyFTS.models.ifts — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -125,43 +155,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/ismailefendi.html b/docs/_build/html/_modules/pyFTS/models/ismailefendi.html index c7bda9b..d0f03ab 100644 --- a/docs/_build/html/_modules/pyFTS/models/ismailefendi.html +++ b/docs/_build/html/_modules/pyFTS/models/ismailefendi.html @@ -1,29 +1,59 @@ - + + pyFTS.models.ismailefendi — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -130,43 +160,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/multivariate/FLR.html b/docs/_build/html/_modules/pyFTS/models/multivariate/FLR.html index 0deb0fd..3a8ac6a 100644 --- a/docs/_build/html/_modules/pyFTS/models/multivariate/FLR.html +++ b/docs/_build/html/_modules/pyFTS/models/multivariate/FLR.html @@ -1,29 +1,59 @@ - + + pyFTS.models.multivariate.FLR — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -61,43 +91,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/multivariate/common.html b/docs/_build/html/_modules/pyFTS/models/multivariate/common.html index 1f70571..ebe1ff0 100644 --- a/docs/_build/html/_modules/pyFTS/models/multivariate/common.html +++ b/docs/_build/html/_modules/pyFTS/models/multivariate/common.html @@ -1,29 +1,59 @@ - + + pyFTS.models.multivariate.common — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -47,43 +77,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/multivariate/flrg.html b/docs/_build/html/_modules/pyFTS/models/multivariate/flrg.html index 8882433..099a879 100644 --- a/docs/_build/html/_modules/pyFTS/models/multivariate/flrg.html +++ b/docs/_build/html/_modules/pyFTS/models/multivariate/flrg.html @@ -1,29 +1,59 @@ - + + pyFTS.models.multivariate.flrg — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -79,43 +109,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/multivariate/mvfts.html b/docs/_build/html/_modules/pyFTS/models/multivariate/mvfts.html index bb13673..ecd211a 100644 --- a/docs/_build/html/_modules/pyFTS/models/multivariate/mvfts.html +++ b/docs/_build/html/_modules/pyFTS/models/multivariate/mvfts.html @@ -1,29 +1,59 @@ - + + pyFTS.models.multivariate.mvfts — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -183,43 +213,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/multivariate/variable.html b/docs/_build/html/_modules/pyFTS/models/multivariate/variable.html index 1edd6c0..f8fbb8d 100644 --- a/docs/_build/html/_modules/pyFTS/models/multivariate/variable.html +++ b/docs/_build/html/_modules/pyFTS/models/multivariate/variable.html @@ -1,29 +1,59 @@ - + + pyFTS.models.multivariate.variable — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -109,43 +139,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/nonstationary/common.html b/docs/_build/html/_modules/pyFTS/models/nonstationary/common.html index ffc34a8..6380734 100644 --- a/docs/_build/html/_modules/pyFTS/models/nonstationary/common.html +++ b/docs/_build/html/_modules/pyFTS/models/nonstationary/common.html @@ -1,29 +1,59 @@ - + + pyFTS.models.nonstationary.common — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -279,43 +309,24 @@
    -
    -
    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_modules/pyFTS/models/nonstationary/cvfts.html b/docs/_build/html/_modules/pyFTS/models/nonstationary/cvfts.html index 788e7d6..ee194c1 100644 --- a/docs/_build/html/_modules/pyFTS/models/nonstationary/cvfts.html +++ b/docs/_build/html/_modules/pyFTS/models/nonstationary/cvfts.html @@ -1,29 +1,59 @@ - + + pyFTS.models.nonstationary.cvfts — pyFTS 1.2.3 documentation - + + - - - - - - + + - + +
    @@ -307,43 +337,24 @@
    -
    -
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    - ©2018, Machine Intelligence and Data Science Laboratory - UFMG - Brazil. - - | - Powered by Sphinx 1.7.2 - & Alabaster 0.7.10 - + + - - - - \ No newline at end of file diff --git a/docs/_build/html/_sources/index.rst.txt b/docs/_build/html/_sources/index.rst.txt index 5558b62..f7042f9 100644 --- a/docs/_build/html/_sources/index.rst.txt +++ b/docs/_build/html/_sources/index.rst.txt @@ -1,20 +1,66 @@ .. pyFTS documentation master file, created by sphinx-quickstart on Wed Aug 29 13:47:28 2018. - You can adapt this file completely to your liking, but it should at least - contain the root `toctree` directive. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + Welcome to pyFTS's documentation! ================================= +What is pyFTS Library? +---------------------- + +.. image:: https://badges.frapsoft.com/os/v2/open-source.png?v=103 +.. image:: https://img.shields.io/badge/License-GPLv3-blue.svg +.. image:: https://img.shields.io/badge/Made%20with-Python-1f425f.svg + +This package is intended for students, researchers, data scientists or whose want to exploit the Fuzzy Time Series methods. These methods provide simple, easy to use, computationally cheap and human-readable models, suitable from statistic laymans to experts. + +This tool is developed on `MINDS Lab `_, +headed by Prof. Frederico Gadelha Guimarães from `Electrical +Engineering Departament `_ of `Federal University +of Minas Gerais (UFMG) `_ at Brazil. Also colaborate +with this tool the Brazilian instituitions `Federal Institute of +North of Minas Gerais (IFNMG) `_ and `Federal Institute of Minas Gerais +(IFMG) `_ . + +.. raw:: html + +
    + + + + + + + + +
    MINDS - Machine Intelligence and Data Science Lab         UFMG         IFNMG         IFMG
    +
    + .. toctree:: - :maxdepth: 2 - :caption: Contents: + :maxdepth: 3 + :caption: API Documentation: + + quickstart + modules + +How to reference pyFTS? +----------------------- + +.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1405817.svg + :target: https://doi.org/10.5281/zenodo.1405817 +Silva, P. C. L. et al. *pyFTS: Fuzzy Time Series for Python (Version v4.0).* Belo Horizonte. 2018. DOI: 10.5281/zenodo.1405817. Url: -Indices and tables -================== + +Indexes +------------------ * :ref:`genindex` * :ref:`modindex` * :ref:`search` + diff --git a/docs/_build/html/_sources/pyFTS.benchmarks.rst.txt b/docs/_build/html/_sources/pyFTS.benchmarks.rst.txt index ff8abee..e24fe17 100644 --- a/docs/_build/html/_sources/pyFTS.benchmarks.rst.txt +++ b/docs/_build/html/_sources/pyFTS.benchmarks.rst.txt @@ -1,9 +1,26 @@ pyFTS.benchmarks package ======================== +Module contents +--------------- + +.. automodule:: pyFTS.benchmarks + :members: + :undoc-members: + :show-inheritance: + + Submodules ---------- +pyFTS.benchmarks.benchmarks module +---------------------------------- + +.. automodule:: pyFTS.benchmarks.benchmarks + :members: + :undoc-members: + :show-inheritance: + pyFTS.benchmarks.Measures module -------------------------------- @@ -36,22 +53,6 @@ pyFTS.benchmarks.arima module :undoc-members: :show-inheritance: -pyFTS.benchmarks.benchmarks module ----------------------------------- - -.. automodule:: pyFTS.benchmarks.benchmarks - :members: - :undoc-members: - :show-inheritance: - -pyFTS.benchmarks.distributed\_benchmarks module ------------------------------------------------ - -.. automodule:: pyFTS.benchmarks.distributed_benchmarks - :members: - :undoc-members: - :show-inheritance: - pyFTS.benchmarks.knn module --------------------------- @@ -68,14 +69,6 @@ pyFTS.benchmarks.naive module :undoc-members: :show-inheritance: -pyFTS.benchmarks.parallel\_benchmarks module --------------------------------------------- - -.. automodule:: pyFTS.benchmarks.parallel_benchmarks - :members: - :undoc-members: - :show-inheritance: - pyFTS.benchmarks.quantreg module -------------------------------- @@ -85,10 +78,4 @@ pyFTS.benchmarks.quantreg module :show-inheritance: -Module contents ---------------- -.. automodule:: pyFTS.benchmarks - :members: - :undoc-members: - :show-inheritance: diff --git a/docs/_build/html/_sources/pyFTS.common.rst.txt b/docs/_build/html/_sources/pyFTS.common.rst.txt index 69c5903..5c0d046 100644 --- a/docs/_build/html/_sources/pyFTS.common.rst.txt +++ b/docs/_build/html/_sources/pyFTS.common.rst.txt @@ -1,6 +1,14 @@ pyFTS.common package ==================== +Module contents +--------------- + +.. automodule:: pyFTS.common + :members: + :undoc-members: + :show-inheritance: + Submodules ---------- @@ -85,10 +93,4 @@ pyFTS.common.tree module :show-inheritance: -Module contents ---------------- -.. automodule:: pyFTS.common - :members: - :undoc-members: - :show-inheritance: diff --git a/docs/_build/html/_sources/pyFTS.data.rst.txt b/docs/_build/html/_sources/pyFTS.data.rst.txt index f451c32..1f23202 100644 --- a/docs/_build/html/_sources/pyFTS.data.rst.txt +++ b/docs/_build/html/_sources/pyFTS.data.rst.txt @@ -1,6 +1,14 @@ pyFTS.data package ================== +Module contents +--------------- + +.. automodule:: pyFTS.data + :members: + :undoc-members: + :show-inheritance: + Submodules ---------- @@ -125,10 +133,4 @@ pyFTS.data.sunspots module :show-inheritance: -Module contents ---------------- -.. automodule:: pyFTS.data - :members: - :undoc-members: - :show-inheritance: diff --git a/docs/_build/html/_sources/pyFTS.models.rst.txt b/docs/_build/html/_sources/pyFTS.models.rst.txt index 91a0bd7..3fa8c77 100644 --- a/docs/_build/html/_sources/pyFTS.models.rst.txt +++ b/docs/_build/html/_sources/pyFTS.models.rst.txt @@ -1,6 +1,15 @@ pyFTS.models package ==================== +Module contents +--------------- + +.. automodule:: pyFTS.models + :members: + :undoc-members: + :show-inheritance: + + Subpackages ----------- @@ -14,6 +23,14 @@ Subpackages Submodules ---------- +pyFTS.models.song module +------------------------ + +.. automodule:: pyFTS.models.song + :members: + :undoc-members: + :show-inheritance: + pyFTS.models.chen module ------------------------ @@ -22,6 +39,15 @@ pyFTS.models.chen module :undoc-members: :show-inheritance: +pyFTS.models.yu module +---------------------- + +.. automodule:: pyFTS.models.yu + :members: + :undoc-members: + :show-inheritance: + + pyFTS.models.cheng module ------------------------- @@ -78,27 +104,6 @@ pyFTS.models.sadaei module :undoc-members: :show-inheritance: -pyFTS.models.song module ------------------------- - -.. automodule:: pyFTS.models.song - :members: - :undoc-members: - :show-inheritance: - -pyFTS.models.yu module ----------------------- - -.. automodule:: pyFTS.models.yu - :members: - :undoc-members: - :show-inheritance: -Module contents ---------------- -.. automodule:: pyFTS.models - :members: - :undoc-members: - :show-inheritance: diff --git a/docs/_build/html/_sources/pyFTS.partitioners.rst.txt b/docs/_build/html/_sources/pyFTS.partitioners.rst.txt index b6ba008..9060474 100644 --- a/docs/_build/html/_sources/pyFTS.partitioners.rst.txt +++ b/docs/_build/html/_sources/pyFTS.partitioners.rst.txt @@ -1,33 +1,25 @@ pyFTS.partitioners package ========================== +Module contents +--------------- + +.. automodule:: pyFTS.partitioners + :members: + :undoc-members: + :show-inheritance: + Submodules ---------- -pyFTS.partitioners.CMeans module --------------------------------- +pyFTS.partitioners.partitioner module +------------------------------------- -.. automodule:: pyFTS.partitioners.CMeans +.. automodule:: pyFTS.partitioners.partitioner :members: :undoc-members: :show-inheritance: - -pyFTS.partitioners.Entropy module ---------------------------------- - -.. automodule:: pyFTS.partitioners.Entropy - :members: - :undoc-members: - :show-inheritance: - -pyFTS.partitioners.FCM module ------------------------------ - -.. automodule:: pyFTS.partitioners.FCM - :members: - :undoc-members: - :show-inheritance: - + pyFTS.partitioners.Grid module ------------------------------ @@ -44,6 +36,30 @@ pyFTS.partitioners.Huarng module :undoc-members: :show-inheritance: +pyFTS.partitioners.Entropy module +--------------------------------- + +.. automodule:: pyFTS.partitioners.Entropy + :members: + :undoc-members: + :show-inheritance: + +pyFTS.partitioners.CMeans module +-------------------------------- + +.. automodule:: pyFTS.partitioners.CMeans + :members: + :undoc-members: + :show-inheritance: + +pyFTS.partitioners.FCM module +----------------------------- + +.. automodule:: pyFTS.partitioners.FCM + :members: + :undoc-members: + :show-inheritance: + pyFTS.partitioners.Util module ------------------------------ @@ -60,19 +76,7 @@ pyFTS.partitioners.parallel\_util module :undoc-members: :show-inheritance: -pyFTS.partitioners.partitioner module -------------------------------------- - -.. automodule:: pyFTS.partitioners.partitioner - :members: - :undoc-members: - :show-inheritance: -Module contents ---------------- -.. automodule:: pyFTS.partitioners - :members: - :undoc-members: - :show-inheritance: + diff --git a/docs/_build/html/_sources/pyFTS.probabilistic.rst.txt b/docs/_build/html/_sources/pyFTS.probabilistic.rst.txt index 097a5a2..567d41d 100644 --- a/docs/_build/html/_sources/pyFTS.probabilistic.rst.txt +++ b/docs/_build/html/_sources/pyFTS.probabilistic.rst.txt @@ -1,6 +1,14 @@ pyFTS.probabilistic package =========================== +Module contents +--------------- + +.. automodule:: pyFTS.probabilistic + :members: + :undoc-members: + :show-inheritance: + Submodules ---------- @@ -21,10 +29,4 @@ pyFTS.probabilistic.kde module :show-inheritance: -Module contents ---------------- -.. automodule:: pyFTS.probabilistic - :members: - :undoc-members: - :show-inheritance: diff --git a/docs/_build/html/_sources/quickstart.rst.txt b/docs/_build/html/_sources/quickstart.rst.txt new file mode 100644 index 0000000..151b16d --- /dev/null +++ b/docs/_build/html/_sources/quickstart.rst.txt @@ -0,0 +1,64 @@ +pyFTS Quick Start +================= + +How to install pyFTS? +--------------------- + +.. image:: https://img.shields.io/badge/Made%20with-Python-1f425f.svg + +Before of all, pyFTS was developed and tested with Python 3.6. To install pyFTS using pip tool + + pip install -U pyFTS + +Ou clone directly from the GitHub repo for the most recent review: + + pip install -U git+https://github.com/PYFTS/pyFTS + + +What are Fuzzy Time Series (FTS)? +--------------------------------- + +Fuzzy Time Series (FTS) are non parametric methods for time series forecasting based on Fuzzy Theory. The original method was proposed by [1] and improved later by many researchers. The general approach of the FTS methods, based on [2] is listed below: + +1. **Data preprocessing**: Data transformation functions contained at `pyFTS.common.Transformations `_, like differentiation, Box-Cox, scaling and normalization. + +2. **Universe of Discourse Partitioning**: This is the most important step. Here, the range of values of the numerical time series *Y(t)* will be splited in overlapped intervals and for each interval will be created a Fuzzy Set. This step is performed by pyFTS.partition module and its classes (for instance GridPartitioner, EntropyPartitioner, etc). The main parameters are: + - the number of intervals + - which fuzzy membership function (on `pyFTS.common.Membership `_) + - partition scheme (`GridPartitioner `_, `EntropyPartitioner `_, `FCMPartitioner `_, `CMeansPartitioner `_, `HuarngPartitioner `_) + + Check out the jupyter notebook on `pyFTS/notebooks/Partitioners.ipynb `_ for sample codes. + +3. **Data Fuzzyfication**: Each data point of the numerical time series *Y(t)* will be translated to a fuzzy representation (usually one or more fuzzy sets), and then a fuzzy time series *F(t)* is created. + +4. **Generation of Fuzzy Rules**: In this step the temporal transition rules are created. These rules depends on the method and their characteristics: +- *order*: the number of time lags used on forecasting +- *weights*: the weighted models introduce weights on fuzzy rules for smoothing +- *seasonality*: seasonality models +- *steps ahead*: the number of steps ahed to predict. Almost all standard methods are based on one-step-ahead forecasting +- *forecasting type*: Almost all standard methods are point-based, but pyFTS also provides intervalar and probabilistic forecasting methods. + +5. **Forecasting**: The forecasting step takes a sample (with minimum length equal to the model's order) and generate a fuzzy outputs (fuzzy set(s)) for the next time ahead. + +6. **Defuzzyfication**: This step transform the fuzzy forecast into a real number. + +7. **Data postprocessing**: The inverse operations of step 1. + +Usage examples +-------------- + +There is nothing better than good code examples to start. `Then check out the demo Jupyter Notebooks of the implemented method os pyFTS! `_. + +A Google Colab example can also be found `here `_. + +References +---------- + +1. Q. Song and B. S. Chissom, “Fuzzy time series and its models,” Fuzzy Sets Syst., vol. 54, no. 3, pp. 269–277, 1993. +2. S.-M. Chen, “Forecasting enrollments based on fuzzy time series,” Fuzzy Sets Syst., vol. 81, no. 3, pp. 311–319, 1996. +3. C. H. Cheng, R. J. Chang, and C. A. Yeh, “Entropy-based and trapezoidal fuzzification-based fuzzy time series approach for forecasting IT project cost”. Technol. Forecast. Social Change, vol. 73, no. 5, pp. 524–542, Jun. 2006. +4. K. H. Huarng, “Effective lengths of intervals to improve forecasting in fuzzy time series”. Fuzzy Sets Syst., vol. 123, no. 3, pp. 387–394, Nov. 2001. +5. H.-K. Yu, “Weighted fuzzy time series models for TAIEX forecasting”. Phys. A Stat. Mech. its Appl., vol. 349, no. 3, pp. 609–624, 2005. +6. R. Efendi, Z. Ismail, and M. M. Deris, “Improved weight Fuzzy Time Series as used in the exchange rates forecasting of US Dollar to Ringgit Malaysia,” Int. J. Comput. Intell. Appl., vol. 12, no. 1, p. 1350005, 2013. +7. H. J. Sadaei, R. Enayatifar, A. H. Abdullah, and A. Gani, “Short-term load forecasting using a hybrid model with a refined exponentially weighted fuzzy time series and an improved harmony search,” Int. J. Electr. Power Energy Syst., vol. 62, no. from 2005, pp. 118–129, 2014. +8. C.-H. Cheng, Y.-S. Chen, and Y.-L. Wu, “Forecasting innovation diffusion of products using trend-weighted fuzzy time-series model,” Expert Syst. 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solid #ddd; + border-bottom: 1px solid #ddd; +} + +div.related ul li { + color: white; + margin: 0; + padding: 0; + height: 2em; + float: left; +} + +div.related ul li.right { + float: right; + margin-right: 5px; +} + +div.related ul li a { + margin: 0; + padding: 0 5px 0 5px; + line-height: 1.75em; + color: #fff; +} + +div.related ul li a:hover { + color: #fff; + text-decoration: underline; +} + +div.sphinxsidebarwrapper { + padding: 0; +} + +div.sphinxsidebar { + margin: 0; + padding: 0.5em 12px 12px 12px; + width: 210px; + font-size: 1em; + text-align: left; +} + +div.sphinxsidebar h3, div.sphinxsidebar h4 { + margin: 1em 0 0.5em 0; + font-size: 1em; + padding: 0.1em 0 0.1em 0.5em; + color: white; + border: 1px solid #336699; + background-color: #336699; +} + +div.sphinxsidebar h3 a { + color: white; +} + +div.sphinxsidebar ul { + padding-left: 1.5em; + margin-top: 7px; + padding: 0; + line-height: 130%; +} + +div.sphinxsidebar ul ul { + margin-left: 20px; +} + +div.sphinxsidebar input { + border: 1px solid #336699; +} + +div.footer { + background-color: white; + color: #336699; + padding: 3px 8px 3px 0; + clear: both; + font-size: 0.8em; + text-align: right; + border-bottom: 1px solid #336699; + + -moz-box-shadow: 2px 2px 5px #000; + -webkit-box-shadow: 2px 2px 5px #000; +} + +div.footer a { + color: #336699; + text-decoration: underline; +} + +/* -- body styles ----------------------------------------------------------- */ + +p { + margin: 0.8em 0 0.5em 0; +} + +a { + color: #336699; + text-decoration: none; +} + +a:hover { + color: #336699; + text-decoration: underline; +} + +div.body a { + text-decoration: underline; +} + +h1, h2, h3 { + color: #336699; +} + +h1 { + margin: 0; + padding: 0.7em 0 0.3em 0; + font-size: 1.5em; +} + +h2 { + margin: 1.3em 0 0.2em 0; + font-size: 1.35em; + padding-bottom: .5em; + border-bottom: 1px solid #336699; +} + +h3 { + margin: 1em 0 -0.3em 0; + font-size: 1.2em; + padding-bottom: .3em; + border-bottom: 1px solid #CCCCCC; 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+code { + background-color: #F2F2F2; + border-bottom: 1px solid #ddd; + color: #333; +} + +code.descname, code.descclassname, code.xref { + border: 0; +} + +hr { + border: 1px solid #abc; + margin: 2em; +} + +a code { + border: 0; + color: #CA7900; +} + +a code:hover { + color: #2491CF; +} + +pre { + background-color: transparent !important; + font-family: 'Consolas', 'Deja Vu Sans Mono', + 'Bitstream Vera Sans Mono', monospace; + font-size: 0.95em; + letter-spacing: 0.015em; + line-height: 120%; + padding: 0.5em; + border-right: 5px solid #ccc; + border-left: 5px solid #ccc; +} + +pre a { + color: inherit; + text-decoration: underline; +} + +td.linenos pre { + padding: 0.5em 0; +} + +div.quotebar { + background-color: #f8f8f8; + max-width: 250px; + float: right; + padding: 2px 7px; + border: 1px solid #ccc; +} + +div.topic { + background-color: #f8f8f8; +} + +table { + border-collapse: collapse; + margin: 0 -0.5em 0 -0.5em; +} + +table td, table th { + padding: 0.2em 0.5em 0.2em 0.5em; +} + +div.admonition { + font-size: 0.9em; + margin: 1em 0 1em 0; + border: 3px solid #cccccc; + background-color: #f7f7f7; + padding: 0; +} + +div.admonition p { + margin: 0.5em 1em 0.5em 1em; + padding: 0; +} + +div.admonition li p { + margin-left: 0; +} + +div.admonition pre, div.warning pre { + margin: 0; +} + +div.highlight { + margin: 0.4em 1em; +} + +div.admonition p.admonition-title { + margin: 0; + padding: 0.1em 0 0.1em 0.5em; + color: white; + border-bottom: 3px solid #cccccc; + font-weight: bold; + background-color: #165e83; +} + +div.danger { border: 3px solid #f0908d; background-color: #f0cfa0; } +div.error { border: 3px solid #f0908d; background-color: #ede4cd; } +div.warning { border: 3px solid #f8b862; background-color: #f0cfa0; } +div.caution { border: 3px solid #f8b862; background-color: #ede4cd; } +div.attention { border: 3px solid #f8b862; background-color: #f3f3f3; } +div.important { border: 3px solid #f0cfa0; background-color: #ede4cd; } +div.note { border: 3px solid #f0cfa0; background-color: #f3f3f3; } +div.hint { border: 3px solid #bed2c3; background-color: #f3f3f3; } +div.tip { border: 3px solid #bed2c3; background-color: #f3f3f3; } + +div.danger p.admonition-title, div.error p.admonition-title { + background-color: #b7282e; + border-bottom: 3px solid #f0908d; +} + +div.caution p.admonition-title, +div.warning p.admonition-title, +div.attention p.admonition-title { + background-color: #f19072; + border-bottom: 3px solid #f8b862; +} + +div.note p.admonition-title, div.important p.admonition-title { + background-color: #f8b862; + border-bottom: 3px solid #f0cfa0; +} + +div.hint p.admonition-title, div.tip p.admonition-title { + background-color: #7ebea5; + border-bottom: 3px solid #bed2c3; +} + +div.admonition ul, div.admonition ol, +div.warning ul, div.warning ol { + margin: 0.1em 0.5em 0.5em 3em; + padding: 0; +} + +div.versioninfo { + margin: 1em 0 0 0; + border: 1px solid #ccc; + background-color: #DDEAF0; + padding: 8px; + line-height: 1.3em; + font-size: 0.9em; +} + +.viewcode-back { + font-family: 'Lucida Grande', 'Lucida Sans Unicode', 'Geneva', + 'Verdana', sans-serif; +} + +div.viewcode-block:target { + background-color: #f4debf; + border-top: 1px solid #ac9; + border-bottom: 1px solid #ac9; +} + +p.versionchanged span.versionmodified { + font-size: 0.9em; + margin-right: 0.2em; + padding: 0.1em; + background-color: #DCE6A0; +} + +/* -- table styles ---------------------------------------------------------- */ + +table.docutils { + margin: 1em 0; + padding: 0; + border: 1px solid white; + background-color: #f7f7f7; +} + +table.docutils td, table.docutils th { + padding: 1px 8px 1px 5px; + border-top: 0; + border-left: 0; + border-right: 1px solid white; + border-bottom: 1px solid white; +} + +table.docutils td p { + margin-top: 0; + margin-bottom: 0.3em; +} + +table.field-list td, table.field-list th { + border: 0 !important; + word-break: break-word; +} + +table.footnote td, table.footnote th { + border: 0 !important; +} + +th { + color: white; + text-align: left; + padding-right: 5px; + background-color: #82A0BE; +} + +div.literal-block-wrapper div.code-block-caption { + background-color: #EEE; + border-style: solid; + border-color: #CCC; + border-width: 1px 5px; +} + +/* WIDE DESKTOP STYLE */ +@media only screen and (min-width: 1176px) { +body { + margin: 0 40px 0 40px; +} +} + +/* TABLET STYLE */ +@media only screen and (min-width: 768px) and (max-width: 991px) { +body { + margin: 0 40px 0 40px; +} +} + +/* MOBILE LAYOUT (PORTRAIT/320px) */ +@media only screen and (max-width: 767px) { +body { + margin: 0; +} +div.bodywrapper { + margin: 0; + width: 100%; + border: none; +} +div.sphinxsidebar { + display: none; +} +} + +/* MOBILE LAYOUT (LANDSCAPE/480px) */ +@media only screen and (min-width: 480px) and (max-width: 767px) { +body { + margin: 0 20px 0 20px; +} +} + +/* RETINA OVERRIDES */ +@media +only screen and (-webkit-min-device-pixel-ratio: 2), +only screen and (min-device-pixel-ratio: 2) { +} + +/* -- end ------------------------------------------------------------------- */ \ No newline at end of file diff --git a/docs/_build/html/_static/bizstyle.js b/docs/_build/html/_static/bizstyle.js new file mode 100644 index 0000000..cc5f1ab --- /dev/null +++ b/docs/_build/html/_static/bizstyle.js @@ -0,0 +1,41 @@ +// +// bizstyle.js +// ~~~~~~~~~~~ +// +// Sphinx javascript -- for bizstyle theme. +// +// This theme was created by referring to 'sphinxdoc' +// +// :copyright: Copyright 2012-2014 by Sphinx team, see AUTHORS. +// :license: BSD, see LICENSE for details. +// +$(document).ready(function(){ + if (navigator.userAgent.indexOf('iPhone') > 0 || + navigator.userAgent.indexOf('Android') > 0) { + $("li.nav-item-0 a").text("Top"); + } + + $("div.related:first ul li:not(.right) a").slice(1).each(function(i, item){ + if (item.text.length > 20) { + var tmpstr = item.text + $(item).attr("title", tmpstr); + $(item).text(tmpstr.substr(0, 17) + "..."); + 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+/* + * classic.css_t + * ~~~~~~~~~~~~~ + * + * Sphinx stylesheet -- classic theme. + * + * :copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +@import url("basic.css"); + +/* -- page layout ----------------------------------------------------------- */ + +body { + font-family: sans-serif; + font-size: 100%; + background-color: #11303d; + color: #000; + margin: 0; + padding: 0; +} + +div.document { + background-color: #1c4e63; +} + +div.documentwrapper { + float: left; + width: 100%; +} + +div.bodywrapper { + margin: 0 0 0 230px; +} + +div.body { + background-color: #ffffff; + color: #000000; + padding: 0 20px 30px 20px; +} + +div.footer { + color: #ffffff; + width: 100%; + padding: 9px 0 9px 0; + text-align: center; + font-size: 75%; +} + +div.footer a { + color: #ffffff; + text-decoration: underline; +} + +div.related { + background-color: #133f52; + line-height: 30px; + color: #ffffff; +} + +div.related a { + color: #ffffff; +} + +div.sphinxsidebar { +} + +div.sphinxsidebar h3 { + font-family: 'Trebuchet MS', sans-serif; + color: #ffffff; + font-size: 1.4em; + font-weight: normal; + margin: 0; + padding: 0; +} + +div.sphinxsidebar h3 a { + color: #ffffff; +} + +div.sphinxsidebar h4 { + font-family: 'Trebuchet MS', sans-serif; + color: #ffffff; + font-size: 1.3em; + font-weight: normal; + margin: 5px 0 0 0; + padding: 0; +} + +div.sphinxsidebar p { + color: #ffffff; +} + +div.sphinxsidebar p.topless { + margin: 5px 10px 10px 10px; +} + +div.sphinxsidebar ul { + margin: 10px; + padding: 0; + color: #ffffff; +} + +div.sphinxsidebar a { + color: #98dbcc; +} + +div.sphinxsidebar input { + border: 1px solid #98dbcc; + font-family: sans-serif; + font-size: 1em; +} + + + +/* -- hyperlink styles ------------------------------------------------------ */ + +a { + color: #355f7c; + text-decoration: none; +} + +a:visited { + color: #355f7c; + text-decoration: none; +} + +a:hover { + text-decoration: underline; +} + + + +/* -- body styles ----------------------------------------------------------- */ + +div.body h1, +div.body h2, +div.body h3, +div.body h4, +div.body h5, +div.body h6 { + font-family: 'Trebuchet MS', sans-serif; + background-color: #f2f2f2; + font-weight: normal; + color: #20435c; + border-bottom: 1px solid #ccc; + margin: 20px -20px 10px -20px; + padding: 3px 0 3px 10px; +} + +div.body h1 { margin-top: 0; font-size: 200%; } +div.body h2 { font-size: 160%; } +div.body h3 { font-size: 140%; } +div.body h4 { font-size: 120%; } +div.body h5 { font-size: 110%; } +div.body h6 { font-size: 100%; } + +a.headerlink { + color: #c60f0f; + font-size: 0.8em; + padding: 0 4px 0 4px; + text-decoration: none; +} + +a.headerlink:hover { + background-color: #c60f0f; + color: white; +} + +div.body p, div.body dd, div.body li, div.body blockquote { + text-align: justify; + line-height: 130%; +} + +div.admonition p.admonition-title + p { + display: inline; +} + +div.admonition p { + 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