prism.mixture module¶

class prism.mixture.BetaBinomialMixture(n_components=1, max_iter=10000, tol=0.001, seed=None, verbose=False)[source]¶

Bases: object

Beta-binomial mixture model for PRISM core algorithm.

bic()[source]¶

Returns:	Bayesian Information Criterion (BIC) value of the model.

dispersions_¶

fit(n, k, headers)[source]¶

get_counts()[source]¶

Returns:	Fingerprint pattern counts of fingerprint epiloci used for fitting the model.

get_depths()[source]¶

Returns:	Depths of fingerprint epiloci used for fitting the model.

get_dispersions()[source]¶

Returns:	Cluster dispersions.

get_headers()[source]¶

Returns:	Headers of fingerprint epiloci used for fitting the model.

get_means()[source]¶

Returns:	Cluster means.

get_n_components()[source]¶

Returns:	Number of clusters.

get_n_dimensions()[source]¶

Returns:	Number of dimensions.

get_weights()[source]¶

Returns the list of cluster weights. Note that a cluster weight is computed as a sum of posterior probabilities that each of the data point will be assiged to that cluster.

Returns:	Cluster weights.

means_¶

predict_proba(n, k)[source]¶

Returns the posterior probabilities of each fingerprint epiloci for each cluster.

Parameters:	n (list) – Depths of fingerprint epiloci. k (list) – Fingerprint pattern counts of fingerprint epiloci.
Returns:	Posterior probabilities of each fingerprint epiloci.

prism.mixture.trigamma(x)[source]¶