aarti-b / house-price-prediction-lstm-restapi-in-keras

House-Price-Prediction-LSTM-RestAPI-in-Keras

AIM: To predict house price.

Requirements: 
Anaconda 3-5.2.0
Linux-Ubuntu 16.04
Python-3.6.6
keras=2.1.6
Tensorflow=1.9.0
Tensorflowjs=0.5.6
h5py=2.8.0
flask=1.0.2
numpy=1.14.1
pandas=0.23.4
matplotlib=2.2.3
argparse=1.1
seaborn=0.9.0
warnings
sklearn==0.19.2
math
json=2.0.9
requests=2.19.1

Method to execute code :

(1) HS_analysis.py (2) lstm_price.py (3) flask_lstm.py (4) server.py

It is always better to create virtual environment and then execute prototype or any repository so as not to conflict with your system’s package’s configurations etc.

Method of creating Virtual Environment using conda :

conda update conda
conda create -n yourenvname python=x.x 

Then install packages you need to run repository To activate run : source activate yourenvname To deactivate run : source deactivate

(A) -----> To get Analysis of data execute script (1). Type following command on shell:

python HS_price_prediction.py --path /path/to/train.csv --analysis True

path to csv file is required. If you want final data then replace --analysis with --final_data.

(B)-------> To train LSTM model (2) execute following :

python lstm_price.py --path /path/to/trainfile --h5path /path/where/h5/istostore --tfjspath /path/where/tfjstostore

(C) -------> Make REST-API (3), execute following:

python flask_lstm.py --path /path/to h5model

a server would open up like : Serving Flask app "flask_lstm" (lazy loading)

• Environment: production WARNING: Do not use the development server in a production environment.
• Debug mode: off
• Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)

(D)----------> Now run (4) using :

python server.py --path /path/to/test/csvfile Or Use curl along with data in -F flag to get Json prediction.

Note: Issue that I faced while runnning flask app to open server: UnsupportedOperation: not writable

To resolve it : You need to edit the echo function definition at ../site-packages/click/utils.py the default value for the file parameter must be sys.stdout instead of None. Do the same for the secho function definition at ../site-packages/click/termui.py. reference