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/**
I have an object like:
 [
   {
          "id": "447c4dc3-0119-4836-afb0790ec9",
          "name": "Food Pantry",
          "organization_id": "0aeec5af-2490-40ca-acdab1d27",
          "status": "Open"
    },
    {

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async function load_process_data() {
    
    let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
    df.head().print()
    
    
}

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//A feature engineering: Extract all titles from names columns
let title = df['Name'].apply((x) => { return x.split(".")[0] }).values

//replace in df
df.addColumn({ column: "Name", value: title })

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//label Encode Name feature
let encoder = new dfd.LabelEncoder()
let cols = ["Sex", "Name"]
cols.forEach(col => {
  encoder.fit(df[col])
  enc_val = encoder.transform(df[col])
  df.addColumn({ column: col, value: enc_val })
})

df.head().print()

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// Standardize the data with MinMaxScaler
let scaler = new dfd.MinMaxScaler()
scaler.fit(Xtrain)
Xtrain = scaler.transform(Xtrain)
return [Xtrain.tensor, ytrain.tensor]

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const dfd = require("danfojs-node")
const tf = require("@tensorflow/tfjs-node")

async function load_process_data() {
    let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")

    //A feature engineering: Extract all titles from names columns
    let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
    //replace in df
    df.addColumn({ column: "Name", value: title })

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function get_model() {
    const model = tf.sequential();
    model.add(tf.layers.dense({ inputShape: [7], units: 124, activation: 'relu', kernelInitializer: 'leCunNormal' }));
    model.add(tf.layers.dense({ units: 64, activation: 'relu' }));
    model.add(tf.layers.dense({ units: 32, activation: 'relu' }));
    model.add(tf.layers.dense({ units: 1, activation: "sigmoid" }))
    model.summary();
    return model
}

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async function train() {
    const model = get_model()
    const data = await load_process_data()
    const Xtrain = data[0]
    const ytrain = data[1]

    model.compile({
        optimizer: "rmsprop",
        loss: 'binaryCrossentropy',

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const dfd = require("danfojs-node")
const tf = require("@tensorflow/tfjs-node")

async function load_process_data() {
    let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")

    //A feature engineering: Extract all titles from names columns
    let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
    //replace in df
    df.addColumn({ column: "Name", value: title })

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"""Setup for the mathist package."""

import setuptools


with open('README.md') as f:
    README = f.read()

setuptools.setup(
    author="",