prep for release

Author: ejolly

docs/api/models/glm.md

@@ -90,7 +90,6 @@ Helper methods for more advanced functionality and debugging
 
 ```{eval-rst}
 
-.. autofunction:: pymer4.models.base.model.to_sklearn
 .. autofunction:: pymer4.models.base.model.report
 .. autofunction:: pymer4.models.base.model.show_logs
 .. autofunction:: pymer4.models.base.model.clear_logs

docs/api/models/glmer.md

@@ -86,7 +86,6 @@ Helper methods for more advanced functionality and debugging
 
 ```{eval-rst}
 
-.. autofunction:: pymer4.models.base.model.to_sklearn
 .. autofunction:: pymer4.models.base.model.report
 .. autofunction:: pymer4.models.base.model.show_logs
 .. autofunction:: pymer4.models.base.model.clear_logs

docs/api/models/lm.md

@@ -67,7 +67,6 @@ Helper methods for more advanced functionality and debugging
 
 ```{eval-rst}
 
-.. autofunction:: pymer4.models.base.model.to_sklearn
 .. autofunction:: pymer4.models.base.model.report
 .. autofunction:: pymer4.models.base.model.show_logs
 .. autofunction:: pymer4.models.base.model.clear_logs

docs/api/models/lmer.md

@@ -84,7 +84,6 @@ Helper methods for more advanced functionality and debugging
 
 ```{eval-rst}
 
-.. autofunction:: pymer4.models.base.model.to_sklearn
 .. autofunction:: pymer4.models.base.model.report
 .. autofunction:: pymer4.models.base.model.show_logs
 .. autofunction:: pymer4.models.base.model.clear_logs

docs/pages/new.md

@@ -56,7 +56,6 @@ As of this version, `pymer4` is now *only* installable via `conda` following the
 These following features are planned for upcoming versions in `0.9.x` line
 
 - support for `lmerControl` options
-- automatic convertion to `scikit-learn` compatible estimators via `.to_sklearn()`
 - simulation and power modules
 
 ## 0.8.2

docs/pages/quickstart.ipynb

@@ -2484,6 +2484,7 @@
     "- [categorical variables tutorial](../tutorials/02_categorical) if you're working with factorial designs or non-numeric predictors   \n",
     "- [multi-level models tutorial](../tutorials/03_lmms.ipynb) for repeated-measures or hierarchical data\n",
     "- [generalized linear/multi-level models tutorial](../tutorials/04_glmms.ipynb) for non-gaussian outcome variables (e.g. logistic regression)\n",
+    "- [`scikit-learn` compatible estimators](../api/models/skmer.md) using the `skmer` class\n",
     "\n",
     "You can read about the specific arguments and outputs of different model methods on their respective API pages, e.g. [`lm.fit()`](../api/models/lm.md#pymer4.models.lm.lm.fit) \n",
     "\n",

pixi.lock

@@ -710,14 +710,3 @@ def report(self):
             str: A natural language description of the model results
         """
         print(report_(self.r_model))
-
-    @requires_fit
-    def to_sklearn(self):
-        """Convert the fitted model to a scikit-learn compatible format.
-
-        Note: This method is not yet implemented.
-
-        Raises:
-            NotImplementedError: This method is not yet implemented
-        """
-        raise NotImplementedError("Not yet implemented")