LSTM Model Test Failures

[lymichelle21]

Describe the bug
Error with lstm tests likely due to Tensorflow version.

======================================================================
ERROR: test_full_lstm_model (tests.test_examples.TestExamples.test_full_lstm_model)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Users/michellely/Documents/GitHub/progpy/tests/test_examples.py", line 22, in test
    ex.run_example()
  File "/Users/michellely/Documents/GitHub/progpy/examples/full_lstm_model.py", line 90, in run_example
    m2 = LSTMThrownObject.from_data(
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/src/progpy/data_models/lstm_model.py", line 591, in from_data
    history = model.fit(
              ^^^^^^^^^^
  File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/keras/src/utils/traceback_utils.py", line 123, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/keras/src/trainers/compile_utils.py", line 234, in _build_metrics_set
    raise ValueError(
ValueError: Expected all entries in the `metrics` list to be metric objects. Received instead:
metrics=[['mae']]

Relevant Requirements
Versions of Tensorflow

To Reproduce
Steps to reproduce the behavior:

1. Use pre-release version
2. Run tests python -m tests

Expected behavior
Tests pass.

Desktop (please complete the following information):

• OS: macOS
• Python Version: 3.12.2

[lymichelle21]

Additional error with pce tests found - likely due to dependency versions too:

======================================================================
ERROR: test_pce (tests.test_examples.TestExamples.test_pce)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/chaospy/recurrence/stieltjes.py", line 68, in stieltjes
    return analytical_stieltjes(order=order, dist=dist)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/chaospy/recurrence/stieltjes.py", line 165, in analytical_stieltjes
    coeffs = dist.ttr(mom_order)
             ^^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/chaospy/distributions/baseclass/distribution.py", line 721, in ttr
    out[:, idx, idy] = self._get_ttr(kloc_[idx], idx)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/chaospy/distributions/baseclass/distribution.py", line 732, in _get_ttr
    alpha, beta = self._ttr(kdata, **parameters)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/chaospy/distributions/operators/joint.py", line 195, in _ttr
    return dist._get_ttr(kloc, idx)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/chaospy/distributions/baseclass/distribution.py", line 732, in _get_ttr
    alpha, beta = self._ttr(kdata, **parameters)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/chaospy/distributions/baseclass/simple.py", line 116, in _ttr
    raise chaospy.UnsupportedFeature(
chaospy.UnsupportedFeature: UserDistribution(<bound method Distribution.cdf of Uniform(lower=3, upper=8)>, pdf=<bound method Distribution.pdf of Uniform(lower=3, upper=8)>, ppf=<bound method Distribution.ppf of Uniform(lower=3, upper=8)>): does not support analytical recurrence coefficients.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/michellely/Documents/GitHub/progpy/tests/test_examples.py", line 22, in test
    ex.run_example()
  File "/Users/michellely/Documents/GitHub/progpy/examples/pce.py", line 48, in run_example
    m_surrogate = PCE.from_model(m,
                 ^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/src/progpy/data_models/pce.py", line 186, in from_model
    return cls.from_data(
           ^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/src/progpy/data_models/pce.py", line 107, in from_data
    expansion = cp.generate_expansion(order=params['order'], dist=params['J'])  # Order=2 is the only hyperparameter
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/chaospy/expansion/frontend.py", line 103, in generate_expansion
    return expansion_function(
           ^^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/chaospy/expansion/stieltjes.py", line 122, in stieltjes
    ) = chaospy.stieltjes(numpy.max(order), dist)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/chaospy/recurrence/stieltjes.py", line 70, in stieltjes
    return discretized_stieltjes(
           ^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/chaospy/recurrence/stieltjes.py", line 111, in discretized_stieltjes
    discretized_stieltjes(
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/chaospy/recurrence/stieltjes.py", line 128, in discretized_stieltjes
    var = numpoly.variable()
          ^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/numpoly/construct/variable.py", line 44, in variable
    return numpoly.symbols(
           ^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/numpoly/construct/symbols.py", line 93, in symbols
    out = numpoly.ndpoly.from_attributes(
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/numpoly/baseclass.py", line 388, in from_attributes
    return numpoly.polynomial_from_attributes(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/numpoly/construct/from_attributes.py", line 95, in polynomial_from_attributes
    numpoly.cfrom_attributes(coefficients, poly.values.ravel())
  File "numpoly/cfunctions/cfrom_attributes.pyx", line 22, in numpoly.cfunctions.cfrom_attributes.cfrom_attributes
  File "numpoly/cfunctions/cvalues.pyx", line 124, in numpoly.cfunctions.cvalues.cset_values
  File "numpoly/cfunctions/cvalues.pyx", line 129, in numpoly.cfunctions.cvalues.cset_values
  File "/Users/michellely/Documents/GitHub/progpy/.venv/lib/python3.12/site-packages/numpy/__init__.py", line 324, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations