new release: update version numbers and changelog

Author: paulbkoch

CHANGELOG.md

@@ -4,6 +4,25 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and the versioning is mostly derived from [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [v0.4.0] - 2023-05-11
+### Added
+- alternative objective functions: poisson_deviance, tweedie_deviance, gamma_deviance, pseudo_huber, rmse_log (log link)
+- greediness __init__ parameter that allows selecting a behavior between cyclic boosting and greedy boosting
+- smoothing_rounds __init__ parameter
+- added type hints to the EBM __init__ parameters and class attributes
+- init_score parameter to allow boosting and prediction on top of a previous model
+- multiclass support in merge_ebms
+### Changed
+- default BaseLinear regressor is changed from Lasso to LinearRegression class
+- placed limits on the amount of memory used to find interactions with high cardinality categoricals
+### Fixed
+- validation_size of 0 is now handled by disabling early_stopping and using the final model
+### Breaking Changes
+- replaced the __init__ param "mains" with "exclude"
+- removed the binning __init__ param as this functionality was already fully supported in feature_types
+- removed the unused zero_val_count attribute and n_samples attribute
+- renamed the noise_scale_ attribute to noise_scale_boosting_ and added noise_scale_binning_ to DPEBMs
+
 ## [v0.3.2] - 2023-03-14
 ### Fixed
 - fix the issue that the shared library would only work on newer linux versions

python/interpret-core/interpret/_version.py

@@ -2,4 +2,4 @@
 # Distributed under the MIT software license
 
 # NOTE: Version is replaced by a regex script.
-__version__ = "0.3.2"
+__version__ = "0.4.0"

python/interpret-core/interpret/glassbox/_ebm/_ebm.py

@@ -68,7 +68,7 @@
 import numpy as np
 from warnings import warn
 
-from sklearn.base import is_classifier, is_regressor  # type: ignore
+from sklearn.base import is_classifier  # type: ignore
 from sklearn.utils.validation import check_is_fitted  # type: ignore
 from sklearn.isotonic import IsotonicRegression
 
@@ -80,7 +80,6 @@
     ClassifierMixin,
     RegressorMixin,
 )  # type: ignore
-from sklearn.utils.extmath import softmax  # type: ignore
 from itertools import combinations, groupby
 
 import logging

python/interpret-core/setup.py

@@ -12,7 +12,7 @@
 
 name = "interpret-core"
 # NOTE: Version is replaced by a regex script.
-version = "0.3.2"
+version = "0.4.0"
 long_description = """
 Core system for the interpret package.
 

python/interpret/setup.py

@@ -5,7 +5,7 @@
 
 name = "interpret"
 # NOTE: Version is replaced by a regex script.
-version = "0.3.2"
+version = "0.4.0"
 long_description = """
 In the beginning machines learned in darkness, and data scientists struggled in the void to explain them.
 

shared/vis/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@interpretml/interpret-inline",
-  "version": "0.3.2",
+  "version": "0.4.0",
   "description": "Interpret inline library for rendering visualizations across all notebook environments.",
   "main": "index.js",
   "keywords": [],