Update NumPy version requirement

[chimaerase]

Update NumPy version requirement to be < 1.24.0 to avoid an AttributeError from importing TPOT in that and newer versions (#1281). This PR may be superceded by #1280, or may need to be reverted in #1280, depending on review/merge order.

Newer releases of Numpy (and by extension, fresh installs of TPOT) are not compatible with the latest TPOT code and requirements.txt. Several deprecated numpy aliases are removed in Numpy 1.24.0, and at least one (numpy.float) is still used in the TPOT code.

Before this fix:

pip install -r requirements.txt
python
>>> import tpot
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/mark.forrer/Documents/code/tpot/tpot/__init__.py", line 27, in <module>
    from .tpot import TPOTClassifier, TPOTRegressor
  File "/Users/mark.forrer/Documents/code/tpot/tpot/tpot.py", line 31, in <module>
    from .base import TPOTBase
  File "/Users/mark.forrer/Documents/code/tpot/tpot/base.py", line 71, in <module>
    from .builtins import CombineDFs, StackingEstimator
  File "/Users/mark.forrer/Documents/code/tpot/tpot/builtins/__init__.py", line 29, in <module>
    from .one_hot_encoder import OneHotEncoder, auto_select_categorical_features, _transform_selected
  File "/Users/mark.forrer/Documents/code/tpot/tpot/builtins/one_hot_encoder.py", line 136, in <module>
    class OneHotEncoder(BaseEstimator, TransformerMixin):
  File "/Users/mark.forrer/Documents/code/tpot/tpot/builtins/one_hot_encoder.py", line 216, in OneHotEncoder
    def __init__(self, categorical_features='auto', dtype=np.float,
  File "/Users/mark.forrer/.pyenv/versions/tpot/lib/python3.8/site-packages/numpy/__init__.py", line 284, in __getattr__
    raise AttributeError("module {!r} has no attribute "
AttributeError: module 'numpy' has no attribute 'float'

[perib]

Merged #1280 which resolves this issue.