This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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, |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
def log_run(gridsearch: sklearn.GridSearchCV, experiment_name: str, model_name: str, run_index: int, conda_env, tags={}): | |
"""Logging of cross validation results to mlflow tracking server | |
Args: | |
experiment_name (str): experiment name | |
model_name (str): Name of the model | |
run_index (int): Index of the run (in Gridsearch) | |
conda_env (str): A dictionary that describes the conda environment (MLFlow Format) | |
tags (dict): Dictionary of extra data and tags (usually features) |