When I attempt to from universal import algos, I get this error:
--> 117 from universal import algos
/usr/local/lib/python3.5/dist-packages/universal/algos/__init__.py in <module>
----> 1 from .crp import CRP
2 from .bah import BAH
3 from .anticor import Anticor
4 from .corn import CORN
5 from .bcrp import BCRP
/usr/local/lib/python3.5/dist-packages/universal/algos/crp.py in <module>
----> 1 from ..algo import Algo
2 from .. import tools
3 import numpy as np
4 import pandas as pd
5 import matplotlib.pyplot as plt
/usr/local/lib/python3.5/dist-packages/universal/algo.py in <module>
6 import inspect
7 import copy
----> 8 from .result import AlgoResult, ListResult
9 from scipy.misc import comb
10 from . import tools
/usr/local/lib/python3.5/dist-packages/universal/result.py in <module>
3 import matplotlib.pyplot as plt
4 import pickle
----> 5 from universal import tools
6 import seaborn as sns
7 from statsmodels.api import OLS
/usr/local/lib/python3.5/dist-packages/universal/tools.py in <module>
3 import scipy.optimize as optimize
4 from scipy.special import betaln
----> 5 from pandas.stats.moments import rolling_mean as rolling_m
6 from pandas.stats.moments import rolling_corr
7 import matplotlib.pyplot as plt
ImportError: No module named 'pandas.stats'
In call to configurable 'train' (<function train at 0x7f03e5e6f730>)
It looks like #15 already ran into this issue. The library should be updated to latest pandas. Newer projects will be unable to revert pandas version to 0.22.
It looks like the only two instances that need to be updated are in tools.py:
from pandas.stats.moments import rolling_mean as rolling_m
from pandas.stats.moments import rolling_corr
pandas 0.24.2 universal-portfolios 0.3.3
When I attempt to
from universal import algos
, I get this error:It looks like #15 already ran into this issue. The library should be updated to latest pandas. Newer projects will be unable to revert pandas version to 0.22.
It looks like the only two instances that need to be updated are in tools.py:
I believe this is the replacement. Would it be
df.rolling.mean()
anddf.rolling().corr()
?