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FROM jupyter/datascience-notebook:9b06df75e445

WORKDIR /home/jovyan/

COPY requirements.txt requirements.txt
COPY ejemplo.ipynb ejemplo.ipynb

RUN pip install -r requirements.txt

EXPOSE 8888

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mlflow==1.5.0
seaborn==0.9.0
scikit-learn==0.21.2
pysftp==0.2.9

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FROM  python:3.7.5-slim

COPY requirements.txt requirements.txt

RUN pip install -r requirements.txt

EXPOSE 5000

ENTRYPOINT sleep 25 && mlflow server --backend-store-uri postgresql://mlflow_user:mlflow@postgres/mlflow_db --default-artifact-root ftp://test:test@ftpd/home/test/ --host 0.0.0.0

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mlflow==1.5.0
psycopg2-binary==2.8.4

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FROM postgres:latest

COPY init.sql /docker-entrypoint-initdb.d/

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CREATE DATABASE mlflow_db;
CREATE USER mlflow_user WITH PASSWORD 'mlflow';
GRANT ALL PRIVILEGES ON DATABASE mlflow_db TO mlflow_user;

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version: '3'
services:
  mlflow:    
    build: ./mlflow-server
    ports:
      - "5000:5000"
    depends_on:
      - "ftpd"
      - "postgres"
    volumes: 

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from random import randint
import argparse

def parse_arguments():
    """Manage input arguments for program"""
    ap = argparse.ArgumentParser()    
    ap.add_argument("-n", "--samples", required=True, help="first operand")    
    ap.add_argument("-o", "--output_file", required=True, help="second operand")
    args = vars(ap.parse_args())
    return args

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from cn.protect import Protect
from cn.protect.privacy import KAnonymity
from cn.protect.quality import Loss
from cn.protect.hierarchy import DataHierarchy, OrderHierarchy, IntervalHierarchy
import pandas as pd
import argparse

def parse_arguments():
    """Manage input arguments for program"""
    ap = argparse.ArgumentParser()    

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