'Using Weights & Biases to Perform Hyperparameter Optimization' by code_chem hyperparameteroptimization algorithms
For more details, see theThis script should serve as the main entry point for optimization. It performs one training and evaluation of the model with values for the hyperparameters injected from outside .
It gets the configuration from the outside and performs training and evaluation of the model with fixed values for all of the hyperparameters. The name could be arbitrary, and for this example isimport wandb import pandas as pd from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score from sklearn.model_selection import train_test_split WANDB_PROJECT_NAME="hyperparameter-optimization" with wandb.init: df=pd.read_csv X=df.
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