fukatani

// inspired with https://gist.github.com/xabikos/fcd6e709f8ae0c11e33b

import { render } from "react-dom";
import { useState, useEffect } from "react";

import { BootstrapTable, TableHeaderColumn } from "react-bootstrap-table";
import _ from "lodash";

const dataTable = _.range(1, 60).map((x: number) => ({
  id: x,

fukatani

import time

import numpy
from sklearn.datasets import load_boston
from sklearn.utils.validation import check_random_state
from sklearn.ensemble import RandomForestRegressor
from rgf.sklearn import FastRGFRegressor, RGFRegressor

boston = load_boston()
rng = check_random_state(42)

fukatani

import time

import cupy
import numpy


cnt = 100
N = 10
shapes = ((N, N), (N, N, N, N), (N, N, N, N, N, N), (N, N, N, N, N, N, N))

fukatani

try:
    import matplotlib
    matplotlib.use('Agg')
except ImportError:
    pass

import chainer
import chainer.functions as F
import chainer.links as L
from chainer import training