Offline Model

This repository packages the OfflineModel in offline_model/model.py for execution with Prefect using the flow described in offline_model/flow/flow.py using the variables:

input_variables

variable name	type	default
input1	scalar	1
input2	scalar	2

output_variables

variable_name	type
output1	scalar
output2	scalar
output3	scalar

Installation

This package may be installed using pip:

pip install git+https://github.com/jbellister-slac/offline-model.git

Dev

Install dev environment:

conda env create -f dev-environment.yml

Activate your environment:

conda activate offline-model-dev

Install package:

pip install -e .

Tests can be executed from the root directory using:

pytest .

Note

This README was automatically generated using the template defined in https://github.com/slaclab/lume-services-model-template with the following configuration:

{
    "author": "Jesse Bellister",
    "email": "jesseb@slac.stanford.edu",
    "github_username": "jbellister-slac",
    "github_url": "https://github.com/jbellister-slac/offline-model.git",
    "project_name": "Offline Model", 
    "repo_name": "offline-model", 
    "package": "offline_model",
    "model_class": "OfflineModel"
}