Fix custom activation function

CHANGELOG.md

@@ -6,6 +6,13 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to
 [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [3.0.8] - 2024-08-25
+
+### Changed
+
+- Fix custom activation by using default implementation
+- Loosen requirements
+
 ## [3.0.7] - 2024-08-19
 
 ### Changed

deeplc/deeplc.py

@@ -71,10 +71,6 @@
 from deeplc._exceptions import CalibrationError
 from deeplc.trainl3 import train_en
 
-# "Custom" activation function
-lrelu = lambda x: tf.keras.activations.relu(x, alpha=0.1, max_value=20.0)
-
-
 # try:
 #    from tensorflow.compat.v1.keras.backend import set_session  # noqa: F401
 # except ImportError:
@@ -597,7 +593,6 @@ def make_preds_core(
         if len(X) == 0 and len(psm_list) > 0:
             if self.verbose:
                 logger.debug("Extracting features for the CNN model ...")
-            # X = self.do_f_extraction_psm_list(psm_list)
             X = self.do_f_extraction_psm_list_parallel(psm_list)
 
             X_sum = np.stack(list(X["matrix_sum"].values()))
@@ -615,7 +610,7 @@ def make_preds_core(
 
         ret_preds = []
 
-        mod = load_model(mod_name, custom_objects={"<lambda>": lrelu})
+        mod = load_model(mod_name)
         try:
             X
             ret_preds = mod.predict(

pyproject.toml

@@ -32,12 +32,12 @@ keywords = [
 
 dependencies = [
     "tensorflow>=2.15.0,<3",
-    "numpy>=1.17,<2",
-    "pandas>=0.25,<2",
+    "numpy>=1.17",
+    "pandas>=0.25",
     "h5py>=2.10.0,<4",
-    "pygam>=0.8.0,<1",
+    "pygam>=0.8.0",
     "deeplcretrainer>=1,<2",
-    "psm_utils>=0.2.3,<1",
+    "psm_utils>=0.2.3",
     "hdf5plugin>=4.1.1",
 	"scipy>=1.0.0,<1.14.0"
 ]