Merge pull request #252 from jrzaurin/fix/dependencies-python-312

jrzaurin · web-flow · commit 2d5005a62536 · 2025-09-26T18:17:32.000+01:00
update scipy dependency and checked in 3.12
diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
@@ -13,47 +13,47 @@ jobs:
     runs-on: ubuntu-latest
     if: ${{ github.event_name == 'push' || !github.event.pull_request.draft }}
     steps:
-    - uses: actions/checkout@v4
-    - name: Set up Python 3.10
-      uses: actions/setup-python@v5
-      with:
-        python-version: "3.10"
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip
-        python -m pip install black flake8
-    - name: Code Style (Black/Flake8)
-      run: |
-        black --check --diff pytorch_widedeep tests examples setup.py
-        flake8 . --count --select=E901,E999,F821,F822,F823 --ignore=E266 --show-source --statistics
-        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --ignore=E203,E266,E501,E721,E722,F401,F403,F405,F811,W503,C901 --statistics
+      - uses: actions/checkout@v4
+      - name: Set up Python 3.11
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install black flake8
+      - name: Code Style (Black/Flake8)
+        run: |
+          black --check --diff pytorch_widedeep tests examples setup.py
+          flake8 . --count --select=E901,E999,F821,F822,F823 --ignore=E266 --show-source --statistics
+          flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --ignore=E203,E266,E501,E721,E722,F401,F403,F405,F811,W503,C901 --statistics
 
   test:
     runs-on: ubuntu-latest
     if: ${{ github.event_name == 'push' || !github.event.pull_request.draft }}
     strategy:
       fail-fast: true
       matrix:
-        python-version: ["3.9", "3.10", "3.11"]
+        python-version: ["3.10", "3.11", "3.12"]
     steps:
-    - uses: actions/checkout@v4
-    - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v5
-      with:
-        python-version: ${{ matrix.python-version }}
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip
-        python -m pip install pytest pytest-cov codecov faker
-        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
-    - name: Test with pytest and generate coverage
-      run: |
-        pytest --doctest-modules pytorch_widedeep --cov=pytorch_widedeep --cov-report=xml --cov-report=term --disable-pytest-warnings tests
-    - name: Upload coverage to Codecov
-      uses: codecov/codecov-action@v4
-      with:
-        token: ${{ secrets.CODECOV_TOKEN }}
-        file: ./coverage.xml
-        flags: unittests
-        name: codecov-${{ matrix.python-version }}
-        fail_ci_if_error: true
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install pytest pytest-cov codecov faker
+          if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+      - name: Test with pytest and generate coverage
+        run: |
+          pytest --doctest-modules pytorch_widedeep --cov=pytorch_widedeep --cov-report=xml --cov-report=term --disable-pytest-warnings tests
+      - name: Upload coverage to Codecov
+        uses: codecov/codecov-action@v4
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}
+          file: ./coverage.xml
+          flags: unittests
+          name: codecov-${{ matrix.python-version }}
+          fail_ci_if_error: true
diff --git a/README.md b/README.md
@@ -4,7 +4,7 @@
 </p>
 
 [![PyPI version](https://badge.fury.io/py/pytorch-widedeep.svg)](https://pypi.org/project/pytorch-widedeep/)
-[![Python 3.8 3.9 3.10 3.11](https://img.shields.io/badge/python-3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11-blue.svg)](https://pypi.org/project/pytorch-widedeep/)
+[![Python 3.9 3.10 3.11 3.12](https://img.shields.io/badge/python-3.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue.svg)](https://pypi.org/project/pytorch-widedeep/)
 [![Build Status](https://github.com/jrzaurin/pytorch-widedeep/actions/workflows/build.yml/badge.svg)](https://github.com/jrzaurin/pytorch-widedeep/actions)
 [![Documentation Status](https://readthedocs.org/projects/pytorch-widedeep/badge/?version=latest)](https://pytorch-widedeep.readthedocs.io/en/latest/?badge=latest)
 [![codecov](https://codecov.io/gh/jrzaurin/pytorch-widedeep/branch/master/graph/badge.svg)](https://codecov.io/gh/jrzaurin/pytorch-widedeep)
@@ -30,21 +30,21 @@ text and images using Wide and Deep models in Pytorch
 The content of this document is organized as follows:
 
 - [pytorch-widedeep](#pytorch-widedeep)
-    - [Introduction](#introduction)
-    - [Architectures](#architectures)
-    - [The ``deeptabular`` component](#the-deeptabular-component)
-    - [The ``rec`` module](#the-rec-module)
-    - [Text and Images](#text-and-images)
-    - [Installation](#installation)
-      - [Developer Install](#developer-install)
-    - [Quick start](#quick-start)
-    - [Testing](#testing)
-    - [How to Contribute](#how-to-contribute)
-    - [Acknowledgments](#acknowledgments)
-    - [License](#license)
-    - [Cite](#cite)
-      - [BibTex](#bibtex)
-      - [APA](#apa)
+  - [Introduction](#introduction)
+  - [Architectures](#architectures)
+  - [The ``deeptabular`` component](#the-deeptabular-component)
+  - [The ``rec`` module](#the-rec-module)
+  - [Text and Images](#text-and-images)
+  - [Installation](#installation)
+    - [Developer Install](#developer-install)
+  - [Quick start](#quick-start)
+  - [Testing](#testing)
+  - [How to Contribute](#how-to-contribute)
+  - [Acknowledgments](#acknowledgments)
+  - [License](#license)
+  - [Cite](#cite)
+    - [BibTex](#bibtex)
+    - [APA](#apa)
 
 ### Introduction
 
@@ -58,12 +58,10 @@ With that in mind there are a number of architectures that can be implemented
 with the library. The main components of those architectures are shown in the
 Figure below:
 
-
 <p align="center">
   <img width="750" src="mkdocs/sources/docs/figures/widedeep_arch_new.png">
 </p>
 
-
 In math terms, and following the notation in the
 [paper](https://arxiv.org/abs/1606.07792), the expression for the architecture
 without a ``deephead`` component can be formulated as:
@@ -72,7 +70,6 @@ without a ``deephead`` component can be formulated as:
   <img width="500" src="mkdocs/sources/docs/figures/architecture_1_math.png">
 </p>
 
-
 Where &sigma; is the sigmoid function, *'W'* are the weight matrices applied to the wide model and to the final
 activations of the deep models, *'a'* are these final activations,
 &phi;(x) are the cross product transformations of the original features *'x'*, and
@@ -162,12 +159,10 @@ Face models.
 
 **1. Wide and Tabular component (aka deeptabular)**
 
-
 <p align="center">
   <img width="400" src="mkdocs/sources/docs/figures/arch_1.png">
 </p>
 
-
 ```python
 from pytorch_widedeep.preprocessing import TabPreprocessor, WidePreprocessor
 from pytorch_widedeep.models import Wide, TabMlp, WideDeep
@@ -213,7 +208,6 @@ trainer.fit(
   <img width="400" src="mkdocs/sources/docs/figures/arch_2.png">
 </p>
 
-
 ```python
 from pytorch_widedeep.preprocessing import TabPreprocessor, TextPreprocessor
 from pytorch_widedeep.models import TabMlp, BasicRNN, WideDeep
@@ -452,12 +446,10 @@ activations. In other words, it does not need to inherit from
 `BaseWDModelComponent`. This base class simply checks the existence of such
 property and avoids some typing errors internally.
 
-
 <p align="center">
     <img width="600" src="mkdocs/sources/docs/figures/arch_6.png">
 </p>
 
-
 ```python
 import torch
 
@@ -599,7 +591,6 @@ passed through two separate models and then "fused" via a dot product.
   <img width="350" src="mkdocs/sources/docs/figures/arch_7.png">
 </p>
 
-
 ```python
 import numpy as np
 import pandas as pd
@@ -695,7 +686,6 @@ actually a different architecture.
   <img width="200" src="mkdocs/sources/docs/figures/arch_8.png">
 </p>
 
-
 ```python
 from pytorch_widedeep.preprocessing import TabPreprocessor, TextPreprocessor, ImagePreprocessor
 from pytorch_widedeep.models import TabMlp, BasicRNN, WideDeep, ModelFuser, Vision
@@ -823,6 +813,7 @@ The recommendation algorithms in the `rec` module are:
 See the examples for details on how to use these models.
 
 ### Text and Images
+
 For the text component, `deeptext`, the library offers the following models:
 
 1. **BasicRNN**: a simple RNN 2. **AttentiveRNN**: a RNN with an attention
@@ -843,7 +834,7 @@ following families:
  'mobilenetv2', 'mnasnet', 'efficientnet' and 'squeezenet'.  These are
  offered via `torchvision` and wrapped up in the `Vision` class.
 
-###  Installation
+### Installation
 
 Install using pip:
 
diff --git a/requirements.txt b/requirements.txt
@@ -1,6 +1,6 @@
-pandas>=1.3.5
+scipy>=1.7.3
 numpy>=1.21.6, <2.0.0
-scipy>=1.7.3,<=1.12.0
+pandas>=1.3.5
 scikit-learn>=1.0.2
 gensim
 spacy
