# Example pipeline for ensemble models on mental health related natural
# language processing
psych_kxi_ensemble_models = function(m_data, df_params, n_min_clusters, ...) {
df_kxi = psych_kxi_pipeline(m_data, df_params, n_min_clusters = n_min_clusters)
df_kxi = ensemble_models(df_kxi, ...)
}
# Example pipeline for mental health natural language processing
psych_kxi_pipeline = function(m_data,
df_params = expand.grid(n_xi = 8:15, pts = c(15, 20, 25, 30),
dist = "cosine", dim_red = "ICA",
n_dimred_comp = c(10, 15, 20, 25)),
max_size_ratio = 0.15, n_min_clusters = 5, n_cores = 10) {
opticskxi_pipeline(m_data, df_params, 'cosine', max_size_ratio,
n_min_clusters, n_cores)
}
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