Closed suciokhan closed 2 months ago
Describe the bug
I just pip-installed Pomegranate into an Anaconda environment after receiving a similar error after conda installation. I'm attempting to do the example here: https://pomegranate.readthedocs.io/en/latest/tutorials/B_Model_Tutorial_6_Bayesian_Networks.html
When I run from pomegranate.distributions import Categorical I receive the following error chain:
from pomegranate.distributions import Categorical
--------------------------------------------------------------------------- ImportError Traceback (most recent call last) Cell In[4], line 5 2 import seaborn; seaborn.set_style('whitegrid') 3 import torch ----> 5 from pomegranate.distributions import Categorical 6 from pomegranate.distributions import ConditionalCategorical 7 from pomegranate.bayesian_network import BayesianNetwork File [~/anaconda3/envs/pyrca/lib/python3.9/site-packages/pomegranate/distributions/__init__.py:1](https://file+.vscode-resource.vscode-cdn.net/home/suciokhan/rca/~/anaconda3/envs/pyrca/lib/python3.9/site-packages/pomegranate/distributions/__init__.py:1) ----> 1 from .bernoulli import Bernoulli 2 from .categorical import Categorical 3 from .conditional_categorical import ConditionalCategorical File [~/anaconda3/envs/pyrca/lib/python3.9/site-packages/pomegranate/distributions/bernoulli.py:6](https://file+.vscode-resource.vscode-cdn.net/home/suciokhan/rca/~/anaconda3/envs/pyrca/lib/python3.9/site-packages/pomegranate/distributions/bernoulli.py:6) 1 # bernoulli.py 2 # Contact: Jacob Schreiber 4 import torch ----> 6 from .._utils import _cast_as_tensor 7 from .._utils import _cast_as_parameter 8 from .._utils import _update_parameter File [~/anaconda3/envs/pyrca/lib/python3.9/site-packages/pomegranate/_utils.py:8](https://file+.vscode-resource.vscode-cdn.net/home/suciokhan/rca/~/anaconda3/envs/pyrca/lib/python3.9/site-packages/pomegranate/_utils.py:8) 5 import torch 6 import collections ----> 8 from apricot import FacilityLocationSelection 9 from apricot import FeatureBasedSelection 12 eps = torch.finfo(torch.float32).eps File [~/anaconda3/envs/pyrca/lib/python3.9/site-packages/apricot/__init__.py:4](https://file+.vscode-resource.vscode-cdn.net/home/suciokhan/rca/~/anaconda3/envs/pyrca/lib/python3.9/site-packages/apricot/__init__.py:4) 1 # __init__.py 2 # Author: Jacob Schreiber ----> 4 from .functions import FeatureBasedSelection 5 from .functions import MaxCoverageSelection 7 from .functions import FacilityLocationSelection File [~/anaconda3/envs/pyrca/lib/python3.9/site-packages/apricot/functions/__init__.py:4](https://file+.vscode-resource.vscode-cdn.net/home/suciokhan/rca/~/anaconda3/envs/pyrca/lib/python3.9/site-packages/apricot/functions/__init__.py:4) 1 # __init__.py 2 # Author: Jacob Schreiber ----> 4 from .featureBased import FeatureBasedSelection 5 from .maxCoverage import MaxCoverageSelection 7 from .facilityLocation import FacilityLocationSelection File [~/anaconda3/envs/pyrca/lib/python3.9/site-packages/apricot/functions/featureBased.py:7](https://file+.vscode-resource.vscode-cdn.net/home/suciokhan/rca/~/anaconda3/envs/pyrca/lib/python3.9/site-packages/apricot/functions/featureBased.py:7) 4 import math 5 import numpy ----> 7 from .base import BaseSelection 8 from ..optimizers import LazyGreedy 9 from ..optimizers import ApproximateLazyGreedy File [~/anaconda3/envs/pyrca/lib/python3.9/site-packages/apricot/functions/base.py:12](https://file+.vscode-resource.vscode-cdn.net/home/suciokhan/rca/~/anaconda3/envs/pyrca/lib/python3.9/site-packages/apricot/functions/base.py:12) 9 import numpy 10 from tqdm import tqdm ---> 12 from ..optimizers import BaseOptimizer 13 from ..optimizers import NaiveGreedy 14 from ..optimizers import LazyGreedy File [~/anaconda3/envs/pyrca/lib/python3.9/site-packages/apricot/optimizers.py:11](https://file+.vscode-resource.vscode-cdn.net/home/suciokhan/rca/~/anaconda3/envs/pyrca/lib/python3.9/site-packages/apricot/optimizers.py:11) 7 import scipy 9 from tqdm import tqdm ---> 11 from .utils import PriorityQueue 12 from .utils import check_random_state 13 from .utils import _calculate_pairwise_distances File [~/anaconda3/envs/pyrca/lib/python3.9/site-packages/apricot/utils.py:17](https://file+.vscode-resource.vscode-cdn.net/home/suciokhan/rca/~/anaconda3/envs/pyrca/lib/python3.9/site-packages/apricot/utils.py:17) 14 from heapq import heappop 15 from heapq import heapify ---> 17 from scipy.sparse import csr_matrix 19 from sklearn.metrics import pairwise_distances 20 from sklearn.neighbors import KNeighborsTransformer ImportError: cannot import name 'csr_matrix' from 'scipy.sparse' (unknown location)
Describe the bug
I just pip-installed Pomegranate into an Anaconda environment after receiving a similar error after conda installation. I'm attempting to do the example here: https://pomegranate.readthedocs.io/en/latest/tutorials/B_Model_Tutorial_6_Bayesian_Networks.html
When I run
from pomegranate.distributions import Categorical
I receive the following error chain: