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Bugfix in benchmarks.knn

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This commit is contained in:
Petrônio Cândido 2019-06-02 15:36:17 -03:00
parent 2149b4d041
commit f072d73d1b
2 changed files with 19 additions and 19 deletions
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4
pyFTS/benchmarks/knn.py
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@ -58,12 +58,12 @@ class KNearestNeighbors(fts.FTS):
def train(self, data, **kwargs):
X,Y = self._prepare_xy(data)
self.kdtree = KDTree(X)
self.kdtree = KDTree(np.array(X))
self.values = Y
def knn(self, sample):
X = self._prepare_x(sample)
_, ix = self.kdtree.query(X, self.k)
_, ix = self.kdtree.query(np.array(X), self.k)
return [self.values[k] for k in ix.flatten() ]

24
pyFTS/tests/general.py
View File

@ -19,7 +19,7 @@ from pyFTS.fcm import fts, common, GA
from pyFTS.data import TAIEX, NASDAQ, SP500
'''
#'''
train = TAIEX.get_data()[:800]
test = TAIEX.get_data()[800:1000]
@ -61,19 +61,19 @@ methods_parameters = [
{'order':2 }
]
#for dataset_name, dataset in datasets.items():
bchmk.sliding_window_benchmarks2(TAIEX.get_data()[:5000], 1000, train=0.8, inc=0.2,
benchmark_models=False,
for dataset_name, dataset in datasets.items():
bchmk.sliding_window_benchmarks2(dataset, 1000, train=0.8, inc=0.2,
benchmark_models=True,
benchmark_methods=methods,
benchmark_methods_parameters=methods_parameters,
methods=[ifts.IntervalFTS, ifts.WeightedIntervalFTS],
methods=[],
methods_parameters=[{},{}],
transformations=[None],
orders=[1,2,3],
orders=[],
steps_ahead=[10],
partitions=[33],
type='interval',
#distributed=True, nodes=['192.168.0.110', '192.168.0.107','192.168.0.106'],
#file="tmp.db", dataset=dataset_name, tag="experiments")
file="tmp.db", dataset='TAIEX', tag="experiments")
#'''
partitions=[],
type='distribution',
distributed=True, nodes=['192.168.0.110', '192.168.0.107','192.168.0.106'],
file="experiments.db", dataset=dataset_name, tag="experiments")
# file="tmp.db", dataset='TAIEX', tag="experiments")
'''