Racket init command does not produce regression.py

[BlackToothGrin96]

• racket version: 0.3.9 (compiled from source with pip install -e .)
• Python version: 3.6.8
• Operating System: Ubuntu 18.04

Description

Hi, I'm loving Racket; it's great work and you are definitely a hero.

I have created two separate projects using the racket init --name command, everything seems to work fine but the file regression.py was not generated for either project (which is disappointing as regression is my goal :( )

What I Did

First Project:
$ racket init --name racket_project_0
Folder Tree:
.
├── classification.py
├── docker-compose.yaml
├── Dockerfile.racket
├── Dockerfile.tfserving
├── extras
│   └── TEST.jpg
├── racket.yaml
├── serialized
│   ├── base
│   │   └── 1
│   │   ├── saved_model.pb
│   │   └── variables
│   │   ├── variables.data-00000-of-00001
│   │   └── variables.index
│   ├── base_1.h5
│   ├── base_1.json
│   └── base_history_1.json
├── web
│   ├── asset-manifest.json
│   ├── index.html
│   ├── manifest.json
│   ├── precache-manifest.3be394996438461aed1dfe1534b1c647.js
│   ├── service-worker.js
│   └── static
│   ├── css
│   │   ├── 2.280c789f.chunk.css
│   │   ├── 2.280c789f.chunk.css.map
│   │   ├── main.4cc9d3bc.chunk.css
│   │   └── main.4cc9d3bc.chunk.css.map
│   └── js
│   ├── 2.2580a9e0.chunk.js
│   ├── 2.2580a9e0.chunk.js.map
│   ├── main.816293ed.chunk.js
│   ├── main.816293ed.chunk.js.map
│   ├── runtimemain.a8a9905a.js
│   └── runtimemain.a8a9905a.js.map
└── sqlite.db

Second project:
$ racket init --name racket_house_prices_regression
Folder Structure:
.
├── classification.py
├── docker-compose.yaml
├── Dockerfile.racket
├── Dockerfile.tfserving
├── extras
│   └── TEST.jpg
├── racket.yaml
├── serialized
│   ├── base
│   │   └── 1
│   │   ├── saved_model.pb
│   │   └── variables
│   │   ├── variables.data-00000-of-00001
│   │   └── variables.index
│   ├── base_1.h5
│   ├── base_1.json
│   └── base_history_1.json
├── sqlite.db
├── web
│   ├── asset-manifest.json
│   ├── index.html
│   ├── manifest.json
│   ├── precache-manifest.3be394996438461aed1dfe1534b1c647.js
│   ├── service-worker.js
│   └── static
│   ├── css
│   │   ├── 2.280c789f.chunk.css
│   │   ├── 2.280c789f.chunk.css.map
│   │   ├── main.4cc9d3bc.chunk.css
│   │   └── main.4cc9d3bc.chunk.css.map
│   └── js
│   ├── 2.2580a9e0.chunk.js
│   ├── 2.2580a9e0.chunk.js.map
│   ├── main.816293ed.chunk.js
│   ├── main.816293ed.chunk.js.map
│   ├── runtimemain.a8a9905a.js
│   └── runtimemain.a8a9905a.js.map
└── housing.csv

Is there anything important I'll be missing by working from classification.py or can I just alter the model definition to suit a regression scenario?

Thanks for the great work btw; this package is awesome :)

[BlackToothGrin96]

Ok, This hasn't been a problem for me; I have been successful in converting the classification.py script into a regression script.

One final question I have is how do I access inference for different models hosted on the same serving instance?

Currently I can access inference via the api endpoints but only for the latest version of the model specified by the ENV MODEL_NAME variable in tfserving dockerfile. I can see through the racket dashboard and racket ls that I have other versions of this model and some completely different models on the server and I'm wondering if I can specify in my request WHICH network should complete the request?

For example, I would like to send inference data to the server with a header specifying which model and version should complete the request.