hyper_titanic_randomForest.json

{
	"test": {

		"hypermodel_pars" :  {

         "engine_pars" :  {"engine": "optuna", "ntrials":1, "metric_target":"roc_auc_score", "method": "normal"}

        ,"n_estimators":    {"type": "int", "init": 2,  "range" :[5, 50] }
        ,"max_depth":    {"type": "int", "init": 6,  "range" :[6, 6] }

        },
		
		
	    "model_pars": {
		    "model_name":  "RandomForestClassifier",
		    "warm_start": false,
            "verbose": 1,
            "random_state": 0,
            "oob_score": false,
            "n_jobs": null,
            "n_estimators": 10,
            "min_weight_fraction_leaf": 0.0,
            "min_samples_split": 2,
            "min_samples_leaf": 1,
            "min_impurity_split": null,
            "min_impurity_decrease": 0.0,
            "max_leaf_nodes": null,
            "max_features": "auto",
            "max_depth": 4,
            "criterion": "gini",
            "class_weight": null,
            "bootstrap": true
		    
	    },

		"data_pars": {
            "mode": "train", 
            "path": "../mlmodels/dataset/tabular/titanic_train_preprocessed.csv", 
            "data_type" : "pandas", 
            "train":"True" ,
            "colX":["Pclass", "Sex", "Age", "SibSp", "Parch", "Fare", "Embarked_Q", "Embarked_S", "Title"],
            "coly": "Survived"
        },
		
        "compute_pars" :  { "return_pred_not": 0},
        
        "out_pars":  { "save_path": "../ztest/temp", "log_path": "../ztest/temp"}


	},


	"prod": {

		"model_pars": {},

		"data_pars": {}


	}



}