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petshy/models/enhanced_dag_hmm_v2_classifier_config.json
2025-10-08 20:39:09 +08:00

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{
"max_states": 5,
"max_gaussians": 3,
"covariance_type": "diag",
"n_iter": 500,
"random_state": 42,
"cv_folds": 5,
"class_names": [
"\u7b49\u5f85\u5582\u98df",
"\u8212\u670d"
],
"dag_topology": [
[
"\u7b49\u5f85\u5582\u98df",
"\u8212\u670d"
]
],
"task_difficulties": {
"\u7b49\u5f85\u5582\u98df_vs_\u8212\u670d": 0.9793103448275862
},
"optimal_params": {
"\u8212\u670d_vs_\u7b49\u5f85\u5582\u98df": {
"n_states": 1,
"n_gaussians": 1,
"covariance_type": "diag",
"score": 0.958523592085236,
"search_history": [
{
"n_states": 1,
"n_gaussians": 1,
"covariance_type": "diag",
"score": 0.958523592085236
},
{
"n_states": 1,
"n_gaussians": 1,
"covariance_type": "full",
"score": 0.37243150684931503
},
{
"n_states": 2,
"n_gaussians": 1,
"covariance_type": "diag",
"score": 0.6779870624048706
},
{
"n_states": 2,
"n_gaussians": 1,
"covariance_type": "full",
"score": 0.37243150684931503
}
]
},
"\u7b49\u5f85\u5582\u98df_vs_\u8212\u670d": {
"n_states": 1,
"n_gaussians": 1
}
}
}