Dynamic Risk Assessment System

Files

training.py: a Python script meant to train an ML model
scoring.py: a Python script meant to score an ML model
deployment.py: a Python script meant to deploy a trained ML model
ingestion.py: a Python script meant to ingest new data
diagnostics.py: a Python script meant to measure model and data diagnostics
reporting.py: a Python script meant to generate reports about model metrics
app.py: a Python script meant to contain API endpoints
wsgi.py: a Python script to help with API deployment
apicalls.py: a Python script meant to call your API endpoints
fullprocess.py: a script meant to determine whether a model needs to be re-deployed, and to call all other Python scripts when needed

pip install -r requirements.txt

|1. Data Ingestion|

python ingestion.py

|2. Training|

python training.py

|3. Scoring, deployment|

python scoring.py
python deployment.py

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
app		app
ingesteddata		ingesteddata
models		models
practicedata		practicedata
practicemodels		practicemodels
production_deployment		production_deployment
script		script
sourcedata		sourcedata
testdata		testdata
.gitignore		.gitignore
README.md		README.md
apicalls.py		apicalls.py
app.py		app.py
config.json		config.json
config.py		config.py
cronjob.txt		cronjob.txt
dependencies.csv		dependencies.csv
deployment.py		deployment.py
diagnostics.py		diagnostics.py
diagnostics_test.py		diagnostics_test.py
fullprocess.py		fullprocess.py
ingestedfiles.txt		ingestedfiles.txt
ingestion.py		ingestion.py
ingestion_test.py		ingestion_test.py
note.ipynb		note.ipynb
reporting.py		reporting.py
requirements.txt		requirements.txt
scoring.py		scoring.py
training.py		training.py