I'm trying to import DeepTables into my Google Colab notebook like so:
import deeptables
from deeptables.models import make_experiment
from deeptables.models.hyper_dt import DTModuleSpace, DnnModule, DTFit
However, I am met with the following errors:
TypeError Traceback (most recent call last)
<ipython-input-20-5ce1cb115d93> in <module>()
50
51 import deeptables
---> 52 from deeptables.models import make_experiment
53 from deeptables.models.hyper_dt import DTModuleSpace, DnnModule, DTFit
11 frames
/usr/local/lib/python3.7/dist-packages/deeptables/models/__init__.py in <module>()
2 __author__ = 'yangjian'
3
----> 4 from deeptables.models.config import ModelConfig
5 from deeptables.models.modelset import ModelInfo, ModelSet
6 from deeptables.models.deeptable import DeepTable
/usr/local/lib/python3.7/dist-packages/deeptables/models/config.py in <module>()
3 import collections
4 import os
----> 5 from ..utils import consts
6 from . import deepnets as deepnets
7
/usr/local/lib/python3.7/dist-packages/deeptables/utils/__init__.py in <module>()
4
5 """
----> 6 from hypernets.utils import fs, hash_data, infer_task_type, load_data, isnotebook
7 from hypernets.tabular.metrics import calc_score
/usr/local/lib/python3.7/dist-packages/hypernets/utils/__init__.py in <module>()
8 from ._fsutils import filesystem as fs
9 from ._tic_tok import tic_toc, report as tic_toc_report, report_as_dataframe as tic_toc_report_as_dataframe
---> 10 from .common import generate_id, combinations, isnotebook, Counter, to_repr, get_params
11 from .common import infer_task_type, hash_data, hash_dataframe, load_data, load_module
12 from ._estimators import load_estimator, save_estimator
/usr/local/lib/python3.7/dist-packages/hypernets/utils/common.py in <module>()
15
16 import dask.array as da
---> 17 import dask.dataframe as dd
18 import numpy as np
19 import pandas as pd
/usr/local/lib/python3.7/dist-packages/dask/dataframe/__init__.py in <module>()
1 try:
----> 2 from .core import (
3 DataFrame,
4 Series,
5 Index,
/usr/local/lib/python3.7/dist-packages/dask/dataframe/core.py in <module>()
75 no_default = "__no_default__"
76
---> 77 pd.set_option("compute.use_numexpr", False)
78
79
/usr/local/lib/python3.7/dist-packages/pandas/_config/config.py in __call__(self, *args, **kwds)
231 # class below which wraps functions inside a callable, and converts
232 # __doc__ into a property function. The doctsrings below are templates
--> 233 # using the py2.6+ advanced formatting syntax to plug in a concise list
234 # of options, and option descriptions.
235
/usr/local/lib/python3.7/dist-packages/pandas/_config/config.py in _set_option(*args, **kwargs)
139 if o and o.validator:
140 o.validator(v)
--> 141
142 # walk the nested dict
143 root, k = _get_root(key)
/usr/local/lib/python3.7/dist-packages/pandas/core/config_init.py in use_numexpr_cb(key)
48
49
---> 50 def use_numexpr_cb(key):
51 from pandas.core.computation import expressions
52
/usr/local/lib/python3.7/dist-packages/pandas/core/computation/expressions.py in <module>()
17 from pandas._typing import FuncType
18
---> 19 from pandas.core.computation.check import NUMEXPR_INSTALLED
20 from pandas.core.ops import roperator
21
/usr/local/lib/python3.7/dist-packages/pandas/core/computation/check.py in <module>()
1 from pandas.compat._optional import import_optional_dependency
2
----> 3 ne = import_optional_dependency("numexpr", errors="warn")
4 NUMEXPR_INSTALLED = ne is not None
5 if NUMEXPR_INSTALLED:
TypeError: import_optional_dependency() got an unexpected keyword argument 'errors'
The strange thing is that everything imports normally without errors on a local Jupyter Notebook however it's throwing this error on Colab. My pandas version is the latest build and I'm unable to find the issue with this. Has anyone has a similar issue on Colab? Thanks
Hello,
I'm trying to import DeepTables into my Google Colab notebook like so:
However, I am met with the following errors:
The strange thing is that everything imports normally without errors on a local Jupyter Notebook however it's throwing this error on Colab. My
pandas
version is the latest build and I'm unable to find the issue with this. Has anyone has a similar issue on Colab? Thanks