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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.
The text was updated successfully, but these errors were encountered:
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
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.
The text was updated successfully, but these errors were encountered: