Improve model

.gitignore

@@ -0,0 +1,169 @@
+# Mac OS-specific storage files
+.DS_Store
+
+# vim
+*.swp
+*.swo
+
+## https://github.com/github/gitignore/blob/4488915eec0b3a45b5c63ead28f286819c0917de/Python.gitignore
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# MkDocs documentation
+docs/site/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

Makefile

@@ -0,0 +1,68 @@
+#################################################################################
+# GLOBALS                                                                       #
+#################################################################################
+
+PROJECT_NAME = Lab-ML-platzi
+PYTHON_VERSION = 3.10
+PYTHON_INTERPRETER = python
+
+#################################################################################
+# COMMANDS                                                                      #
+#################################################################################
+
+
+## Install Python Dependencies
+.PHONY: requirements
+requirements:
+	$(PYTHON_INTERPRETER) -m pip install -U pip
+	$(PYTHON_INTERPRETER) -m pip install -r requirements.txt
+
+
+
+
+## Delete all compiled Python files
+.PHONY: clean
+clean:
+	find . -type f -name "*.py[co]" -delete
+	find . -type d -name "__pycache__" -delete
+
+## Lint using flake8 and black (use `make format` to do formatting)
+.PHONY: lint
+lint:
+	flake8 logistic_regression
+	isort --check --diff --profile black logistic_regression
+	black --check --config pyproject.toml logistic_regression
+
+## Format source code with black
+.PHONY: format
+format:
+	black --config pyproject.toml logistic_regression
+
+
+
+
+
+
+#################################################################################
+# PROJECT RULES                                                                 #
+#################################################################################
+
+
+
+#################################################################################
+# Self Documenting Commands                                                     #
+#################################################################################
+
+.DEFAULT_GOAL := help
+
+define PRINT_HELP_PYSCRIPT
+import re, sys; \
+lines = '\n'.join([line for line in sys.stdin]); \
+matches = re.findall(r'\n## (.*)\n[\s\S]+?\n([a-zA-Z_-]+):', lines); \
+print('Available rules:\n'); \
+print('\n'.join(['{:25}{}'.format(*reversed(match)) for match in matches]))
+endef
+export PRINT_HELP_PYSCRIPT
+
+help:
+	@$(PYTHON_INTERPRETER) -c "${PRINT_HELP_PYSCRIPT}" < $(MAKEFILE_LIST)

README.md

@@ -29,13 +29,14 @@ curl --location --request GET 'http://localhost:3001/query?feats=465,France,Fema
 
 Si todo esta bien, deberías de obtener una respuesta así
 ```
-{"response": [1]}
+{"response": [0]}
 ```
 
 #### Equipo
 
 * Juan Perez Nombrefalso
 * Ricardo Alanís Tamez
+* Angel Martínez
 
 #### Contribuir
 

app.py

@@ -4,15 +4,28 @@
 import pandas as pd
 
 
-FEATURES = pickle.load(open("churn/models/features.pk", "rb"))
+# Cargar las características, el modelo y las equivalencias de columnas desde archivos creados con la libreria pickle
+FEATURES = pickle.load(open("models/features.pk", "rb"))
+model = pickle.load(open("models/model.pk", "rb"))
+column_equivalence = pickle.load(open("models/column_equivalence.pk", "rb"))
 
-model = pickle.load(open("churn/models/model.pk", "rb"))
-column_equivalence = pickle.load(open("churn/models/column_equivalence.pk", "rb"))
 
-# create the Flask app
 app = Flask(__name__)
 
 def convert_numerical(features):
+    """
+    Función para convertir características en formato numérico.
+
+    Si una característica es categórica, se reemplaza por su código numérico
+    utilizando el diccionario 'column_equivalence'. Si no es categórica, 
+    se intenta convertir a valor numérico con pandas. Si falla, se coloca un 0.
+
+    Parámetros:
+        features (list): Lista de características a convertir.
+
+    Retorna:
+        list: Lista de características convertidas a formato numérico.
+    """
     output = []
     for i, feat in enumerate(features):
         if i in column_equivalence:
@@ -26,12 +39,23 @@ def convert_numerical(features):
 
 @app.route('/query')
 def query_example():
+    """
+    Endpoint que recibe características en la URL, las convierte a formato numérico
+    y devuelve la predicción del modelo en formato JSON.
+
+    Parámetros (GET):
+        feats: Cadena de características separadas por comas.
+
+    Retorna:
+        JSON: Respuesta con la predicción del modelo.
+    """
+
     features = convert_numerical(request.args.get('feats').split(','))
     response = {
         'response': [int(x) for x in model.predict([features])]
     }
     return json.dumps(response)
 
 if __name__ == '__main__':
-    # run app in debug mode on port 3001
+    # Ejecutamos la aplicación Flask en modo debug en el puerto 3001
     app.run(debug=True, port=3001)