forest_max_samples.json

{
    "INCLUDE": ["../../common/sklearn.json", "large_scale.json"],
    "PARAMETERS_SETS": {
        "spmd forest classification parameters": {
            "algorithm": {
                "estimator": "RandomForestClassifier",
                "estimator_methods": { "training": "fit" },
                "estimator_params": { "n_estimators": 20, "max_depth": 10 },
                "sklearnex_context": { "use_raw_input": true }
            }
        },
        "synthetic data": {
            "data": [
                { "source": "make_classification", "split_kwargs": { "train_size": 1000000, "test_size": 1000 },    "generation_kwargs": {  "n_samples": 1001000, "n_features": 100, "n_classes": 2 } }
            ]
        }
    },
    "TEMPLATES": {
        "forestCls": {
            "SETS": [
                "sklearnex spmd implementation",
                "large scale 32 parameters",
                "synthetic data",
                "spmd forest classification parameters"
            ]
        }
    }
}