Update dependencies for v1.1 release

[juhoinkinen]

Updates the outdated dependencies.

Based on #770 as most upgraded dependencies do not work on Python 3.8.

Exceptions to upgrading to newest releases (for now, to be updated. Edit: updated):

• Flask and Connexion
  • after #702 there will not be a direct Flask dependency
• TensorFlow: there is TensorFlow 2.16.1, but upgrading to it fails when trying to install it:

  Because no versions of tensorflow-cpu match >=2.16.dev0,<2.16.0rc0 || >2.16.0rc0,<2.16.1 || >2.16.1,<2.17.dev0
  and tensorflow-cpu (2.16.0rc0) depends on tensorflow-cpu-aws (2.16.0-rc0), tensorflow-cpu (==2.16.0.* ||    >2.16.1,<2.17.dev0) requires tensorflow-cpu-aws (2.16.0-rc0).
  And because no versions of tensorflow-cpu-aws match 2.16.0-rc0

  • issue https://github.com/tensorflow/tensorflow/issues/63585
• ~Scikit-learn: there is Scikit-learn 1.4.1, but stwfsapy requires scikit-learn <1.3~
  • ~issue https://github.com/zbw/stwfsapy/issues/58~
• ~rdflib: also this awaits for stwfsapy to upgrade Scikit-learn~
• ~Black: upgrading to 24 series leads to some minor new style changes in the code base (mostly "Enforce newline after module docstrings")~

[codecov[bot]]

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 99.65%. Comparing base (ec7b79a) to head (44b4734). Report is 3 commits behind head on main.

Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #771 +/- ## ========================================== + Coverage 99.29% 99.65% +0.35% ========================================== Files 89 89 Lines 6404 6405 +1 ========================================== + Hits 6359 6383 +24 + Misses 45 22 -23 ```

:umbrella: View full report in Codecov by Sentry.
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[sonarcloud[bot]]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
No data about Coverage
0.0% Duplication on New Code

See analysis details on SonarCloud

[juhoinkinen]

After this we could check if Python 3.12 could be at least partly supported. I think it was blocked by TensorFlow at some point.

[juhoinkinen]

After this, more precisely after upgrading TensorFlow, loading old FintoAI NN ensemble model gives an error:

ValueError: Layer 'dense' expected 2 variables, but received 0 variables during loading. Expected: ['dense/kernel:0', 'dense/bias:0']