From 32ee3b393038b112890c01690e3ea3d7e75a837e Mon Sep 17 00:00:00 2001 From: Oliver Borchert Date: Sun, 29 Mar 2020 04:30:17 +0200 Subject: [PATCH] Update dependencies --- pycave/bayes/gmm.py | 8 ++++---- pycave/bayes/markov.py | 4 ++-- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/pycave/bayes/gmm.py b/pycave/bayes/gmm.py index 4c81da8..3b45f6b 100644 --- a/pycave/bayes/gmm.py +++ b/pycave/bayes/gmm.py @@ -3,9 +3,9 @@ import torch import torch.nn as nn import torch.distributions as dist -import bxtorch.nn as xnn -from bxtorch.utils.stdio import ProgressBar -from bxtorch.utils.torch import to_one_hot +import pyblaze.nn as xnn +from pyblaze.utils.stdio import ProgressBar +from pyblaze.utils.torch import to_one_hot from sklearn.cluster import KMeans from .utils import log_normal, log_responsibilities, max_likeli_means, max_likeli_covars @@ -166,7 +166,7 @@ def fit(self, data, max_iter=100, batch_size=None, eps=1e-7, verbose=False): Returns ------- - bxtorch.nn.History + pyblaze.nn.History A history object containing the negative log-likelihoods over the course of the EM-training. """ diff --git a/pycave/bayes/markov.py b/pycave/bayes/markov.py index 6c4b0d4..6e48ba4 100644 --- a/pycave/bayes/markov.py +++ b/pycave/bayes/markov.py @@ -2,7 +2,7 @@ import torch import torch.nn as nn import torch.distributions as dist -import bxtorch.nn as xnn +import pyblaze.nn as xnn from .utils import power_iteration class MarkovModelConfig(xnn.Config): @@ -77,7 +77,7 @@ def fit(self, sequences, teleport_alpha=0): Returns ------- - bxtorch.nn.History + pyblaze.nn.History For completeness, it returns a history object. However, apart from the duration of the training, the object does not carry any information. """