NeMoS New Release

In this new release:

Simplified API for GLM: You can now set regularization using a string. All regularization and solver hyperparameters can be passed during GLM initialization.
```
import nemos as nmo
model = nmo.glm.GLM(regularizer="Ridge", regularizer_strength=0.1)
```
New TransformerBasis API: All Basis attributes are now available in TransformerBasis, facilitating inspection and cross-validation. See the updated tutorial in the API guide.
```
import nemos as nmo
transformer_basis = nmo.basis.RaisedCosineBasisLinear(10).to_transformer()
print(transformer_basis.n_basis_funcs)  # prints 10
```
Bounds for Basis: Added support for specifying bounds for the range of values covered by a basis function.

What's Changed

quickfix by @BalzaniEdoardo in #175
improved docstrings by @BalzaniEdoardo in #182
run ci only for non-draft prs by @BalzaniEdoardo in #192
Refactoring regularizer and solver by @clewis7 in #183
add tests for checking get_params() by @clewis7 in #200
Provide a range for basis by @BalzaniEdoardo in #191
update contributing guide by @clewis7 in #198
fix convergence tests by @clewis7 in #206
Update TransformerBasis and Basis to work with scikit-learn pipelining and CV by @bagibence in #169
fixed basis call docstrings by @BalzaniEdoardo in #209

Full Changelog: 0.1.5...0.1.6