Add tests (#37)

* loosening numpy and pandas versions

* fixes to build requirements

* simplifying setup.py, logic in pyproject.toml

* fixing _estimator_type flags

* feat: Add scikit-learn estimator type tags

Adds the `__sklearn_tags__` method to the `sklearn_sm` and `sklearn_selected` wrappers. This allows scikit-learn to correctly identify the estimator type (regressor or classifier) based on the statsmodels model.

This change enables the use of scikit-learn's cross-validation and model selection tools with these wrappers.

Tests have been added to verify that OLS and GLM Binomial models are correctly identified.

* removing redundant setup.py

* unused pkg_resources import

* ensure we get a 0-dim answer; use arg params for cross_val_score

* adding some new tests

* updating version

* ISLP_labs at v2.2.1

* update versioneer

* using setuptools_scm

* update install instructions

* adding fit_params as kwargs

* removing unneeded fit_params

Author: jonathan-taylor

ISLP/__init__.py

@@ -162,6 +162,6 @@ def confusion_table(predicted_labels,
     return df
 
 
-from . import _version
-__version__ = _version.get_versions()['version']
+from importlib.metadata import version
+__version__ = version("ISLP")