Exception on Chen - ConventionalFTS.ipynb

[wangtieqiao]

I downloaded the notebook and changed cell 9,( after section 1.4 Partitioning) to use the local node (not use distributed setup) and I got exceptions

from pyFTS.partitioners import Grid, Util as pUtil
from pyFTS.benchmarks import benchmarks as bchmk
from pyFTS.models import chen

tag = 'chen_partitioning'
_type = 'point'

for dataset_name in dataset_names:
    dataset = get_dataset(dataset_name)

    bchmk.sliding_window_benchmarks(dataset, 1000, train=0.8, inc=0.2,
                                    methods=[chen.ConventionalFTS],
                                    benchmark_models=False,
                                    transformations=[None],
                                    partitions=np.arange(10,100,2), 
                                    progress=False, type=_type,
                                    distributed=False,# nodes=['192.168.0.110', '192.168.0.107','192.168.0.106'],
                                    file="benchmarks.db", dataset=dataset_name, tag=tag)

    bchmk.sliding_window_benchmarks(dataset, 1000, train=0.8, inc=0.2,
                                    methods=[chen.ConventionalFTS],
                                    benchmark_models=False,
                                    transformations=[tdiff],
                                    partitions=np.arange(3,30,1), 
                                    progress=False, type=_type,
                                    distributed=False,# nodes=['192.168.0.110', '192.168.0.107', '192.168.0.106'],
                                    file="benchmarks.db", dataset=dataset_name, tag=tag)

EXCEPTION! CFTS 1 Grid 27 Differential(1) Traceback (most recent call last): File "/home/steve/anaconda3/lib/python3.7/site-packages/pyFTS/benchmarks/benchmarks.py", line 281, in sliding_window_benchmarks job = experiment_method(deepcopy(model), deepcopy(partitioner), train, test, **kwargs) File "/home/steve/anaconda3/lib/python3.7/site-packages/pyFTS/benchmarks/benchmarks.py", line 367, in run_point mfts.fit(train_data, **kwargs) File "/home/steve/anaconda3/lib/python3.7/site-packages/pyFTS/common/fts.py", line 384, in fit self.train(mdata, **kwargs) File "/home/steve/anaconda3/lib/python3.7/site-packages/pyFTS/models/chen.py", line 53, in train tmpdata = self.partitioner.fuzzyfy(data, method='maximum', mode='sets') File "/home/steve/anaconda3/lib/python3.7/site-packages/pyFTS/partitioners/partitioner.py", line 144, in fuzzyfy mv = self.fuzzyfy(inst, **kwargs) File "/home/steve/anaconda3/lib/python3.7/site-packages/pyFTS/partitioners/partitioner.py", line 157, in fuzzyfy tmp = self[ix].membership(data) File "/home/steve/anaconda3/lib/python3.7/site-packages/pyFTS/partitioners/partitioner.py", line 288, in getitem raise ValueError("The fuzzy set index must be between 0 and {}.".format(self.partitions)) ValueError: The fuzzy set index must be between 0 and 27.

[petroniocandido]

Hi! I detected some outdated links in this notebook and I am updating it.