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public class FlatMapTest {
public FlatMapTest() { // <init> //()V
<localVar:index=0 , name=this , desc=LFlatMapTest;, sig=null, start=L1, end=L2>
L1 {
aload0 // reference to self
invokespecial java/lang/Object <init>(()V);
return
}
@thomasjungblut
thomasjungblut / xgb_bayes_opt_cv.py
Last active May 22, 2024 22:14
XGBoost hyper parameter optimization using bayes_opt
from bayes_opt import BayesianOptimization
from sklearn.cross_validation import KFold
import xgboost as xgb
def xgbCv(train, features, numRounds, eta, gamma, maxDepth, minChildWeight, subsample, colSample):
# prepare xgb parameters
params = {
"objective": "reg:linear",
"booster" : "gbtree",
"eval_metric": "mae",
#!/usr/bin/python3
from time import sleep
import requests
from twilio.rest import Client
TWILIO_ACCOUNT_SID = "ACXXX"
TWILIO_AUTH_TOKEN = "XXX"
FROM = "+1XXXXX"
RECIPIENT = "+491XXXX"
@thomasjungblut
thomasjungblut / gist:fe9102e5a1592f8ba1a95c53345016c7
Created November 4, 2021 15:47
monty hall problem with monte carlo
#!/usr/bin/python3
import random as r
def random_doors():
doors = [False] * 3
doors[r.randint(0, 2)] = True
return doors
const _ = require('underscore');
const { Client } = require('pg');
const all_query = `SELECT id FROM "filter-test"."filter-test";`;
const some_query = `SELECT id, blob FROM "filter-test"."filter-test" WHERE id IN ('$(WHERE_IN_FILTER)');`;
async function query(q) {
const client = new Client({
user: 'postgres',
database: 'postgres'