Mohit Sinha mohit-sinha

Knows a thing or two about Algorithms, ML and DL. Loves to talk about ideas. Ping for any kind of constructive discussion.

mohit-sinha / lgb_bo.py

Created June 27, 2018 11:51

Use this for LightGBM parameter optimisation by Bayesian optimisation.

	import pandas as pd;
	import numpy as np;
	import lightgbm as lgb
	from bayes_opt import BayesianOptimization
	from sklearn.model_selection import cross_val_score

	def lgb_evaluate(
	numLeaves,
	maxDepth,
	scaleWeight,

mohit-sinha / xgb_bo.py

Created June 29, 2018 11:54

Bayesian Optimisation for XGBoost

	from bayes_opt import BayesianOptimization
	from sklearn.cross_validation import KFold
	import xgboost as xgb
	import numpy

	def xgbCv(train, features, numRounds, eta, gamma, maxDepth, minChildWeight, subsample, colSample):
	# prepare xgb parameters
	params = {
	"objective": "binary:logistic",
	"booster" : "gbtree",