release: v1.8.0

Release/v1.8.0

Author: mkumar73

CHANGELOG.md

@@ -9,6 +9,31 @@ Going forward, this file is updated automatically by `cz bump` on each release.
 
 ---
 
+## v1.8.0 (2026-05-24)
+
+### Feat
+
+- stable/experimental model split, save/load, and bug fixes
+- **models**: add save/load, fix get_params and LSS family pickling
+- stable and experimental model separation
+
+### Fix
+
+- duplicate entry in docs for model classes
+- test case fixed for windows
+- suppress family hparam warning
+- **tabr**: cast candidate_y to float in regression/LSS label encoder path
+- **tabr**: use regression label encoder for LSS by forwarding lss flag
+- **types**: guard task_model None, use getattr for get_params, annotate test kwargs
+- **lint**: drop unused unpacked variables and dead code
+- **tabtrans**: add dedicated LayerNorm for numerical features instead of reusing encoder norm
+- **ndtf**: correct ensemble aggregation for multi-class and LSS outputs
+- added faiss-cpu
+- add delu dependency for TabR
+- DefaultTabRConfig export
+- import error after experimental namespace changes
+- resolve stale site-packages
+
 ## v1.7.0 (2026-05-14)
 
 ### Documentation

deeptab/utils/distributions.py

@@ -1,3 +1,5 @@
+from collections.abc import Callable
+
 import numpy as np
 import torch
 import torch.distributions as dist
@@ -31,7 +33,7 @@ def __init__(self, name, param_names):
         self.param_names = param_names
         self.param_count = len(param_names)
         # Predefined transformation functions accessible to all subclasses
-        self.predefined_transforms = {
+        self.predefined_transforms: dict[str, Callable[[torch.Tensor], torch.Tensor]] = {
             "positive": torch.nn.functional.softplus,
             "none": lambda x: x,
             "square": lambda x: x**2,
@@ -50,7 +52,9 @@ def name(self):
     def parameter_count(self):
         return self.param_count
 
-    def get_transform(self, transform_name):
+    def get_transform(
+        self, transform_name: str | Callable[[torch.Tensor], torch.Tensor]
+    ) -> Callable[[torch.Tensor], torch.Tensor]:
         """
         Retrieve a transformation function by name, or return the function if it's custom.
         """

docs/_static/custom.css

@@ -228,6 +228,20 @@ html[data-theme="dark"] .highlight .p {
   color: #e6edf3;
 }
 
+/* ── Sidebar nav section separators ─────────────────────────────────────── */
+/* All p.caption elements are flat siblings inside a single <nav>.            */
+/* The ~ combinator targets every caption that follows the first one,         */
+/* adding a hairline rule above it without an orphan border at the top.       */
+#left-sidebar nav p.caption ~ p.caption {
+  border-top: 1px solid #d0d7de;
+  padding-top: 0.85rem;
+  margin-top: 0.5rem;
+}
+
+html[data-theme="dark"] #left-sidebar nav p.caption ~ p.caption {
+  border-top-color: #30363d;
+}
+
 /* ── List item spacing — Tailwind prose adds too much gap ────────────────── */
 /* Scoped to #content so sidebar/nav lists are unaffected */
 #content ul li,