https://github.com/npatta01/citibike_ableto

Ableto Take home challenge
https://github.com/npatta01/citibike_ableto

Last synced: 14 days ago
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Ableto Take home challenge

• Host: GitHub
• URL: https://github.com/npatta01/citibike_ableto
• Owner: npatta01
• Created: 2017-10-12T10:19:33.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2017-10-12T15:37:07.000Z (about 7 years ago)
• Last Synced: 2024-12-07T07:04:28.224Z (18 days ago)
• Language: Jupyter Notebook
• Size: 304 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

Awesome Lists containing this project

README

        
About

-----

Ableto take home data challenge

Design a microservice which returns the best station when coming to or departing from the office at various times of day.

Parameters:

Flag for whether arriving or departing

Hour of day

Response:

Optimal station

Slides

-------

Final presentation slides

[Here](https://docs.google.com/presentation/d/1IhHxAeKih0Lj_leoizIes1RjUCTLcWAhmSYhgmBP31w/edit?usp=sharing)

Contact Info

-----

Nidhin Pattaniyil 

API

-----

Request

```

localhost:5000/predict?hour=8&arriving=true

```

Response

```

{

    "flow": -0.0728267233241351,

    "station_name": "W 42 St & 8 Ave"

}

```

Directory

--------

notebooks: jupyter notebook used when exploring models

code: core python code for running model

data: pickle of scikit learn model

k8s:  kubernetes infrastructure file

infrastructure: sample [Terraform](https://www.terraform.io/) code

Installation

------------

## Local

```

conda env create -f environment.yml -n citibike

python app.py

```

## Docker

```

docker build . -t citibke

docker run -p 9018:9018 -t citibke

```

## Prod build

```

export PROJECT_ID=$(gcloud config get-value project -q)

export VERSION=v1.0.0

gcloud docker -- build -t us.gcr.io/${PROJECT_ID}/citibike:${VERSION} -f Dockerfile .

gcloud docker -- push us.gcr.io/${PROJECT_ID}/citibike:${VERSION}

kubectl apply -f k8s/prod/service.yaml 

kubectl apply -f k8s/prod/deployment.yaml 

```