Bugfixes on nonstationary methods

This commit is contained in:
Petrônio Cândido 2018-04-11 15:52:11 -03:00
parent 4ba6c16a2f
commit d980078a8e

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@ -6,7 +6,7 @@ import matplotlib.pyplot as plt
from pyFTS.common import Membership, Util from pyFTS.common import Membership, Util
def plot_sets(sets, start=0, end=10, step=1, tam=[5, 5], colors=None, def plot_sets(partitioner, start=0, end=10, step=1, tam=[5, 5], colors=None,
save=False, file=None, axes=None, data=None, window_size = 1, only_lines=False): save=False, file=None, axes=None, data=None, window_size = 1, only_lines=False):
range = np.arange(start,end,step) range = np.arange(start,end,step)
@ -14,7 +14,8 @@ def plot_sets(sets, start=0, end=10, step=1, tam=[5, 5], colors=None,
if axes is None: if axes is None:
fig, axes = plt.subplots(nrows=1, ncols=1, figsize=tam) fig, axes = plt.subplots(nrows=1, ncols=1, figsize=tam)
for ct, set in enumerate(sets): for ct, key in enumerate(partitioner.ordered_sets):
set = partitioner.sets[key]
if not only_lines: if not only_lines:
for t in range: for t in range:
tdisp = t - (t % window_size) tdisp = t - (t % window_size)
@ -61,7 +62,8 @@ def plot_sets_conditional(model, data, start=0, end=10, step=1, tam=[5, 5], colo
if axes is None: if axes is None:
fig, axes = plt.subplots(nrows=1, ncols=1, figsize=tam) fig, axes = plt.subplots(nrows=1, ncols=1, figsize=tam)
for ct, set in enumerate(model.sets): for ct, key in enumerate(model.partitioner.ordered_sets):
set = model.partitioner.sets[key]
for t in range: for t in range:
tdisp = model.perturbation_factors(data[t]) tdisp = model.perturbation_factors(data[t])
set.perturbate_parameters(tdisp[ct]) set.perturbate_parameters(tdisp[ct])