hintssss

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "perpetual"
-version = "0.3.6"
+version = "0.3.7"
 edition = "2021"
 authors = ["Mutlu Simsek <msimsek@perpetual-ml.com>"]
 homepage = "https://perpetual-ml.com"

README.md

@@ -63,7 +63,7 @@ pip install perpetual
 To use in a Rust project, add the following to your Cargo.toml file to get the package from [crates.io](https://crates.io/crates/perpetual).
 
 ```toml
-perpetual = "0.3.6"
+perpetual = "0.3.7"
 ```
 
 ## Paper

python-package/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "py-perpetual"
-version = "0.3.6"
+version = "0.3.7"
 edition = "2021"
 authors = ["Mutlu Simsek <msimsek@perpetual-ml.com>"]
 homepage = "https://perpetual-ml.com"
@@ -19,7 +19,7 @@ crate-type = ["cdylib", "rlib"]
 
 [dependencies]
 pyo3 = { version = "0.21", features = ["extension-module"] }
-perpetual_rs = {package="perpetual", version = "0.3.6", path = "../" }
+perpetual_rs = {package="perpetual", version = "0.3.7", path = "../" }
 numpy = "0.21"
 ndarray = "0.15"
 serde_plain = { version = "1.0" }

python-package/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "maturin"
 
 [project]
 name = "perpetual"
-version = "0.3.6"
+version = "0.3.7"
 description = "A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization"
 license = { file = "LICENSE" }
 keywords = [

python-package/python/perpetual/booster.py

@@ -542,7 +542,7 @@ def partial_dependence(
 
     def calculate_feature_importance(
         self, method: str = "Gain", normalize: bool = True
-    ) -> Union[Dict[int, float], dict[str, float]]:
+    ) -> Union[Dict[int, float], Dict[str, float]]:
         """Feature importance values can be calculated with the `calculate_feature_importance` method. This function will return a dictionary of the features and their importance values. It should be noted that if a feature was never used for splitting it will not be returned in importance dictionary.
 
         Args:
@@ -719,15 +719,15 @@ def number_of_trees(self) -> Union[int, Iterable[int]]:
         return self.booster.number_of_trees
 
     # Make picklable with getstate and setstate
-    def __getstate__(self) -> dict[Any, Any]:
+    def __getstate__(self) -> Dict[Any, Any]:
         booster_json = self.json_dump()
         # Delete booster
         # Doing it like this, so it doesn't delete it globally.
         res = {k: v for k, v in self.__dict__.items() if k != "booster"}
         res["__booster_json_file__"] = booster_json
         return res
 
-    def __setstate__(self, d: dict[Any, Any]) -> None:
+    def __setstate__(self, d: Dict[Any, Any]) -> None:
         # Load the booster object the pickled JSon string.
         booster_object = CratePerpetualBooster.from_json(d["__booster_json_file__"])
         d["booster"] = booster_object
@@ -750,7 +750,7 @@ def get_params(self, deep=True) -> Dict[str, Any]:
             deep (bool, optional): This argument does nothing, and is simply here for scikit-learn compatibility.. Defaults to True.
 
         Returns:
-            dict[str, Any]: The parameters of the booster.
+            Dict[str, Any]: The parameters of the booster.
         """
         args = inspect.getfullargspec(PerpetualBooster).kwonlyargs
         return {param: getattr(self, param) for param in args}