Problem when installing MLJAR AutoML

[pplonski]

I'm trying to install MLJAR AutoML package: mljar-supervised. In the notebook I have:

!pip install mljar-supervised

I got the following error during installation:

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow 2.3.1 requires numpy<1.19.0,>=1.16.0, but you have numpy 1.19.5 which is incompatible.
mxnet 1.7.0.post1 requires graphviz<0.9.0,>=0.8.1, but you have graphviz 0.16 which is incompatible.
bokeh 2.2.3 requires tornado>=5.1, but you have tornado 5.0.2 which is incompatible.
autogluon-core 0.0.15b20201207 requires graphviz<0.9.0,>=0.8.1, but you have graphviz 0.16 which is incompatible.

When importing the package:

import supervised

I got error:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-3-fae01312f982> in <module>
----> 1 import supervised

/opt/conda/lib/python3.7/site-packages/supervised/__init__.py in <module>
      1 __version__ = "0.7.19"
      2 
----> 3 from supervised.automl import AutoML

/opt/conda/lib/python3.7/site-packages/supervised/automl.py in <module>
      1 import logging
      2 
----> 3 from supervised.base_automl import BaseAutoML
      4 
      5 from supervised.utils.config import LOG_LEVEL

/opt/conda/lib/python3.7/site-packages/supervised/base_automl.py in <module>
     13 from copy import deepcopy
     14 
---> 15 from sklearn.base import BaseEstimator
     16 from sklearn.utils.validation import check_array
     17 from sklearn.metrics import r2_score, accuracy_score

/opt/conda/lib/python3.7/site-packages/sklearn/__init__.py in <module>
     78     from . import _distributor_init  # noqa: F401
     79     from . import __check_build  # noqa: F401
---> 80     from .base import clone
     81     from .utils._show_versions import show_versions
     82 

/opt/conda/lib/python3.7/site-packages/sklearn/base.py in <module>
     19 from . import __version__
     20 from ._config import get_config
---> 21 from .utils import _IS_32BIT
     22 from .utils.validation import check_X_y
     23 from .utils.validation import check_array

/opt/conda/lib/python3.7/site-packages/sklearn/utils/__init__.py in <module>
     18 import warnings
     19 import numpy as np
---> 20 from scipy.sparse import issparse
     21 
     22 from .murmurhash import murmurhash3_32

/opt/conda/lib/python3.7/site-packages/scipy/sparse/__init__.py in <module>
    227 import warnings as _warnings
    228 
--> 229 from .base import *
    230 from .csr import *
    231 from .csc import *

/opt/conda/lib/python3.7/site-packages/scipy/sparse/base.py in <module>
      5 
      6 from scipy._lib.six import xrange
----> 7 from scipy._lib._numpy_compat import broadcast_to
      8 from .sputils import (isdense, isscalarlike, isintlike,
      9                       get_sum_dtype, validateaxis, check_reshape_kwargs,

/opt/conda/lib/python3.7/site-packages/scipy/_lib/_numpy_compat.py in <module>
     14 
     15 if NumpyVersion(np.__version__) > '1.7.0.dev':
---> 16     _assert_warns = np.testing.assert_warns
     17 else:
     18     def _assert_warns(warning_class, func, *args, **kw):

/opt/conda/lib/python3.7/site-packages/numpy/__init__.py in __getattr__(attr)
    211                 from .testing import Tester
    212                 return Tester
--> 213             else:
    214                 raise AttributeError("module {!r} has no attribute "
    215                                      "{!r}".format(__name__, attr))

/opt/conda/lib/python3.7/site-packages/numpy/testing/__init__.py in <module>
      8 from unittest import TestCase
      9 
---> 10 from ._private.utils import *
     11 from ._private import decorators as dec
     12 from ._private.nosetester import (

/opt/conda/lib/python3.7/site-packages/numpy/testing/_private/utils.py in <module>
     50 IS_PYPY = platform.python_implementation() == 'PyPy'
     51 HAS_REFCOUNT = getattr(sys, 'getrefcount', None) is not None
---> 52 HAS_LAPACK64 = numpy.linalg.lapack_lite._ilp64
     53 
     54 

AttributeError: module 'numpy.linalg.lapack_lite' has no attribute '_ilp64'

How to install MLJAR AutoML package in kaggle notebook?

[rosbo]

Hi @pplonski,

We don't provide much support for custom installs of packages (only for packages we installed).

Your best bet is to uninstall the conflicts, and then install your package.

Thank you