interpret v0.6.4 and powerlift v0.1.12

.github/workflows/ci.yml

@@ -186,6 +186,8 @@ jobs:
   docs:
     runs-on: ubuntu-20.04
     needs: [sdist]
+    permissions:
+      checks: write
     steps:
       - name: Check out repo
         uses: actions/checkout@v4
@@ -212,7 +214,7 @@ jobs:
           pip install -r requirements.txt
           /bin/sh ./build.sh
       - name: Mark step with a warning
-        if: ${{ steps.build_docs.outcome == 'failure' && github.event_name != 'pull_request' }}
+        if: ${{ steps.build_docs.outcome == 'failure' }}
         uses: actions/github-script@v6
         with:
           script: |
@@ -630,6 +632,8 @@ jobs:
   format_clang:
     needs: [bdist]  # bdist is not needed but slow this step down
     runs-on: ubuntu-latest
+    permissions:
+      checks: write
     steps:
       - name: Check out repo
         uses: actions/checkout@v4
@@ -646,7 +650,7 @@ jobs:
           find shared/libebm \( -iname "*.cpp" -o -iname "*.h" -o -iname "*.hpp" \) | xargs clang-format-16 -i -style=file
           git diff --exit-code
       - name: Mark step with a warning
-        if: ${{ steps.check_cpp.outcome == 'failure' && github.event_name != 'pull_request' }}
+        if: ${{ steps.check_cpp.outcome == 'failure' }}
         uses: actions/github-script@v6
         with:
           script: |
@@ -662,6 +666,8 @@ jobs:
   format_black:
     needs: [bdist]  # bdist is not needed but slow this step down
     runs-on: ubuntu-latest
+    permissions:
+      checks: write
     steps:
       - name: Check out repo
         uses: actions/checkout@v4

CHANGELOG.md

@@ -4,6 +4,12 @@ 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).
 
+## [v0.6.4] - 2024-09-28
+### Added
+- support for regularization parameters reg_alpha, and reg_lambda in EBMs
+- support for the parameter max_delta_step in EBMs
+- improved fitting speed for most of the alternative objectives
+
 ## [v0.6.3] - 2024-08-07
 ### Added
 - visualizations for the APRL (Automatic Piecewise Linear Regression) package by @mathias-von-ottenbreit

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__ = "0.6.3"
+__version__ = "0.6.4"

python/interpret-core/setup.py

@@ -11,7 +11,7 @@
 from setuptools.command.sdist import sdist
 
 # NOTE: Version is replaced by a regex script.
-version = "0.6.3"
+version = "0.6.4"
 
 
 def _copy_native_code_to_setup():

python/interpret/setup.py

@@ -5,7 +5,7 @@
 
 name = "interpret"
 # NOTE: Version is replaced by a regex script.
-version = "0.6.3"
+version = "0.6.4"
 long_description = """
 In the beginning machines learned in darkness, and data scientists struggled in the void to explain them.
 

python/powerlift/CHANGELOG.md

@@ -4,6 +4,14 @@ 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).
 
+## v0.1.12 - 2024-09-28
+### Added
+- improved reliability when running on Azure
+- much faster interface
+- Azure runners now self-terminate when complete
+- handle out of memory terminations
+- new options to specify pip and apt get installations on remote runners
+
 ## v0.1.11 - 2024-08-20
 ### Added
 - eliminate need for private container registries

python/powerlift/powerlift/_version.py

@@ -2,4 +2,4 @@
 # Distributed under the MIT software license
 
 # NOTE: Version is replaced by a regex script.
-__version__ = "0.1.11"
+__version__ = "0.1.12"

python/powerlift/scripts/Dockerfile

@@ -1,12 +1,12 @@
 # syntax=docker/dockerfile:1
 FROM python:3.9-slim-buster
 
-COPY powerlift-0.1.11-py3-none-any.whl .
+COPY powerlift-0.1.12-py3-none-any.whl .
 
 # Install dependencies
 RUN apt-get update && \
     apt-get install -y --no-install-recommends build-essential unixodbc-dev libpq-dev python-dev && \
-    pip install powerlift-0.1.11-py3-none-any.whl[postgres,mssql,testing] && \
+    pip install powerlift-0.1.12-py3-none-any.whl[postgres,mssql,testing] && \
     apt-get clean && \
     rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* && \
     apt-get autoremove -y

python/powerlift/scripts/build-docker.sh

@@ -5,4 +5,4 @@ cd "$(dirname "${BASH_SOURCE[0]}")"
 mkdir -p ../build/docker
 cp Dockerfile ../build/docker/
 cd .. && python -m build && cp dist/* build/docker/
-cd build/docker && docker build -t interpretml/powerlift:0.1.11 .
+cd build/docker && docker build -t interpretml/powerlift:0.1.12 .

python/powerlift/setup.py

@@ -5,7 +5,7 @@
 
 setuptools.setup(
     name="powerlift",
-    version="0.1.11",
+    version="0.1.12",
     author="The InterpretML Contributors",
     author_email="[email protected]",
     description="Interactive Benchmarking for Machine Learning.",

scripts/release_process.txt

@@ -264,9 +264,7 @@ set_visualize_provider(InlineProvider())
 POWERLIFT:
 - update CHANGELOG.md
 - update version in:
-  scripts\build-docker.sh
-  scripts\Dockerfile (in 2 places)
-  setup.py
-  powerlift\executors\azure_ci.py
-  powerlift\executors\docker.py
-  powerlift\_version.py
+  python\powerlift\scripts\build-docker.sh
+  python\powerlift\scripts\Dockerfile (in 2 places)
+  python\powerlift\setup.py
+  python\powerlift\powerlift\_version.py

shared/libebm/ebm_stats.hpp

@@ -64,7 +64,7 @@ static constexpr FloatCalc k_gainMin = 0;
 //   - details on float representations -> https://www.volkerschatz.com/science/float.html
 //   - things that are guaranteed and not -> https://docs.oracle.com/cd/E19957-01/806-3568/ncg_goldberg.html
 
-INLINE_ALWAYS static FloatCalc HandleL1(const FloatCalc sumGradient, const FloatCalc regAlpha) {
+INLINE_ALWAYS static FloatCalc ApplyL1(const FloatCalc sumGradient, const FloatCalc regAlpha) {
    EBM_ASSERT(0 <= regAlpha);
    FloatCalc regularizedSumGradient = std::fabs(sumGradient) - regAlpha;
    regularizedSumGradient = UNLIKELY(regularizedSumGradient < FloatCalc{0}) ? FloatCalc{0} : regularizedSumGradient;
@@ -73,7 +73,7 @@ INLINE_ALWAYS static FloatCalc HandleL1(const FloatCalc sumGradient, const Float
    return regularizedSumGradient;
 }
 
-INLINE_ALWAYS static FloatCalc HandleL2(const FloatCalc sumHessian, const FloatCalc regLambda) {
+INLINE_ALWAYS static FloatCalc ApplyL2(const FloatCalc sumHessian, const FloatCalc regLambda) {
    EBM_ASSERT(0 <= regLambda);
    return sumHessian + regLambda;
 }
@@ -98,7 +98,7 @@ INLINE_ALWAYS static FloatCalc CalcNegUpdate(const FloatCalc sumGradient,
          return FloatCalc{0};
       }
    }
-   FloatCalc ret = HandleL1(sumGradient, regAlpha) / HandleL2(sumHessian, regLambda);
+   FloatCalc ret = ApplyL1(sumGradient, regAlpha) / ApplyL2(sumHessian, regLambda);
    if(UNLIKELY(std::fabs(ret) > deltaStepMax)) {
       ret = UNPREDICTABLE(ret < FloatCalc{0}) ? -deltaStepMax : deltaStepMax;
    }
@@ -114,7 +114,7 @@ INLINE_ALWAYS static FloatCalc CalcPartialGainFromUpdate(const FloatCalc sumGrad
    EBM_ASSERT(std::isnan(sumHessian) || FloatCalc{0} <= sumHessian);
 
    const FloatCalc partialGain =
-         negUpdate * (HandleL1(sumGradient, regAlpha) * FloatCalc{2} - negUpdate * HandleL2(sumHessian, regLambda));
+         negUpdate * (ApplyL1(sumGradient, regAlpha) * FloatCalc{2} - negUpdate * ApplyL2(sumHessian, regLambda));
 
    return partialGain;
 }
@@ -136,8 +136,8 @@ INLINE_ALWAYS static FloatCalc CalcPartialGain(const FloatCalc sumGradient,
       const FloatCalc negUpdate = CalcNegUpdate<false>(sumGradient, sumHessian, regAlpha, regLambda, deltaStepMax);
       partialGain = CalcPartialGainFromUpdate(sumGradient, sumHessian, negUpdate, regAlpha, regLambda);
    } else {
-      const FloatCalc regularizedSumGradient = HandleL1(sumGradient, regAlpha);
-      partialGain = regularizedSumGradient / HandleL2(sumHessian, regLambda) * regularizedSumGradient;
+      const FloatCalc regularizedSumGradient = ApplyL1(sumGradient, regAlpha);
+      partialGain = regularizedSumGradient / ApplyL2(sumHessian, regLambda) * regularizedSumGradient;
 
       EBM_ASSERT(std::isnan(partialGain) ||
             IsApproxEqual(partialGain,

shared/vis/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@interpretml/interpret-inline",
-  "version": "0.6.3",
+  "version": "0.6.4",
   "description": "Interpret inline library for rendering visualizations across all notebook environments.",
   "main": "index.js",
   "keywords": [],