add tabpfn.show_versions() + issue template

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -0,0 +1,91 @@
+name: Bug Report
+description: Create a report to help us reproduce and correct the bug
+labels: [bug]
+
+body:
+- type: markdown
+  attributes:
+    value: >
+      #### Before submitting a bug, please make sure the issue hasn't been already
+      addressed by searching through [the past issues](https://github.com/PriorLabs/TabPFN/issues).
+- type: textarea
+  attributes:
+    label: Describe the bug
+    description: >
+      A clear and concise description of what the bug is.
+  validations:
+    required: true
+- type: textarea
+  attributes:
+    label: Steps/Code to Reproduce
+    description: |
+      Please add a minimal code example (some advices [here](https://scikit-learn.org/dev/developers/minimal_reproducer.html)) that can reproduce the error when running it. Be as succinct as possible, **do not depend on external data files**: instead you can generate synthetic data using `numpy.random`, [sklearn.datasets.make_regression](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html), [sklearn.datasets.make_classification](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html) or a few lines of Python code. Example:
+
+      ```python
+      import numpy as np
+      from sklearn.datasets import make_classification
+      from tabpfn import TabPFNClassifier
+
+      # Generate synthetic classification data
+      X, y = make_classification(n_samples=100, n_features=10, random_state=42)
+      
+      # Initialize and train TabPFN
+      classifier = TabPFNClassifier(N_estimators=4)
+      classifier.fit(X, y)
+      
+      # Make predictions
+      y_pred = classifier.predict(X)
+      ```
+
+      If the code is too long, feel free to put it in a public gist and link it in the issue: https://gist.github.com.
+
+      In short, **we are going to copy-paste your code** to run it and we expect to get the same result as you.
+
+      We acknowledge that crafting a minimal reproducible code example requires some effort on your side but it really helps the maintainers quickly reproduce the problem and analyze its cause without any ambiguity. Ambiguous bug reports tend to be slower to fix because they will require more effort and back and forth discussion between the maintainers and the reporter to pin-point the precise conditions necessary to reproduce the problem.
+    placeholder: |
+      ```
+      Sample code to reproduce the problem
+      ```
+  validations:
+    required: false
+- type: textarea
+  attributes:
+    label: Expected Results
+    description: >
+      Please paste or describe the expected results.
+    placeholder: >
+      Example: No error is thrown.
+  validations:
+    required: false
+- type: textarea
+  attributes:
+    label: Actual Results
+    description: |
+      Please paste or describe the results you observe instead of the expected results. If you observe an error, please paste the error message including the **full traceback** of the exception. For instance the code above raises the following exception:
+
+      ```python-traceback
+      ---------------------------------------------------------------------------
+      Traceback (most recent call last):
+        File "/Users/leo/VSCProjects/new/TabPFN/test_git.py", line 9, in <module>
+          classifier = TabPFNClassifier(N_estimators=4)
+      TypeError: TabPFNClassifier.__init__() got an unexpected keyword argument 'N_estimators'
+      ```
+    placeholder: >
+      Please paste or specifically describe the actual output or traceback.
+  validations:
+    required: false
+- type: textarea
+  attributes:
+    label: Versions
+    render: shell
+    description: |
+      Please run the following and paste the output below.
+      ```python
+      import tabpfn; tabpfn.show_versions()
+      ```
+  validations:
+    required: false
+- type: markdown
+  attributes:
+    value: >
+      Thanks for contributing 🎉!

.github/ISSUE_TEMPLATE/doc_improvement.yml

@@ -0,0 +1,17 @@
+name: Documentation improvement
+description: Create a report to help us improve the documentation. Alternatively you can just open a pull request with the suggested change.
+labels: [documentation]
+
+body:
+- type: textarea
+  attributes:
+    label: Describe the issue linked to the documentation
+    description: >
+      Tell us about the confusion introduced in the documentation.
+  validations:
+    required: true
+- type: textarea
+  attributes:
+    label: Suggest a potential alternative/fix
+    description: >
+      Tell us how we could improve the documentation in this regard.

src/tabpfn/__init__.py

@@ -1,6 +1,7 @@
 from importlib.metadata import version
 
 from tabpfn.classifier import TabPFNClassifier
+from tabpfn.debug_versions import show_versions
 from tabpfn.regressor import TabPFNRegressor
 
 try:
@@ -12,4 +13,5 @@
     "TabPFNClassifier",
     "TabPFNRegressor",
     "__version__",
+    "show_versions",
 ]