| /dports/science/py-GPy/GPy-1.10.0/GPy/likelihoods/ |
| H A D | gaussian.py | 64 def betaY(self,Y,Y_metadata=None): argument
69 def gaussian_variance(self, Y_metadata=None): argument
121 def pdf_link(self, link_f, y, Y_metadata=None): argument
139 def logpdf_link(self, link_f, y, Y_metadata=None): argument
157 def dlogpdf_dlink(self, link_f, y, Y_metadata=None): argument
176 def d2logpdf_dlink2(self, link_f, y, Y_metadata=None): argument
203 def d3logpdf_dlink3(self, link_f, y, Y_metadata=None): argument
283 def dlogpdf_link_dtheta(self, f, y, Y_metadata=None): argument
288 def dlogpdf_dlink_dtheta(self, f, y, Y_metadata=None): argument
316 def samples(self, gp, Y_metadata=None): argument
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| H A D | student_t.py | 47 def pdf_link(self, inv_link_f, y, Y_metadata=None): argument
71 def logpdf_link(self, inv_link_f, y, Y_metadata=None): argument
99 def dlogpdf_dlink(self, inv_link_f, y, Y_metadata=None): argument
119 def d2logpdf_dlink2(self, inv_link_f, y, Y_metadata=None): argument
144 def d3logpdf_dlink3(self, inv_link_f, y, Y_metadata=None): argument
225 def dlogpdf_link_dv(self, inv_link_f, y, Y_metadata=None): argument
252 def dlogpdf_link_dtheta(self, f, y, Y_metadata=None): argument
257 def dlogpdf_dlink_dtheta(self, f, y, Y_metadata=None): argument
262 def d2logpdf_dlink2_dtheta(self, f, y, Y_metadata=None): argument
267 def predictive_mean(self, mu, sigma, Y_metadata=None): argument
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| H A D | multioutput_likelihood.py | 89 def predictive_variance(self, mu, sigma, Y_metadata): argument
99 def pdf(self, f, y, Y_metadata=None): argument
107 def pdf_link(self, inv_link_f, y, Y_metadata=None): argument
115 def logpdf(self, f, y, Y_metadata=None): argument
126 def logpdf_link(self, inv_link_f, y, Y_metadata=None): argument
166 def dlogpdf_dtheta(self, f, y, Y_metadata=None): argument
180 def d2logpdf_df2(self, f, y, Y_metadata): argument
189 def dlogpdf_df(self, f, y, Y_metadata): argument
198 def d3logpdf_df3(self, f, y, Y_metadata=None): argument
207 def dlogpdf_df_dtheta(self, f, y, Y_metadata=None): argument
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| H A D | weibull.py | 31 def pdf_link(self, link_f, y, Y_metadata=None): argument
52 def logpdf_link(self, link_f, y, Y_metadata=None): argument
84 def dlogpdf_dlink(self, link_f, y, Y_metadata=None): argument
113 def d2logpdf_dlink2(self, link_f, y, Y_metadata=None): argument
148 def d3logpdf_dlink3(self, link_f, y, Y_metadata=None): argument
231 def d2logpdf_dlink2_dr(self, link_f, y, Y_metadata=None): argument
253 def d3logpdf_dlink3_dr(self, link_f, y, Y_metadata=None): argument
270 def dlogpdf_link_dtheta(self, f, y, Y_metadata=None): argument
282 def dlogpdf_dlink_dtheta(self, f, y, Y_metadata=None): argument
294 def d2logpdf_dlink2_dtheta(self, f, y, Y_metadata=None): argument
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| H A D | loglogistic.py | 35 def pdf_link(self, link_f, y, Y_metadata=None): argument
52 def logpdf_link(self, link_f, y, Y_metadata=None): argument
91 def dlogpdf_dlink(self, link_f, y, Y_metadata=None): argument
125 def d2logpdf_dlink2(self, link_f, y, Y_metadata=None): argument
162 def d3logpdf_dlink3(self, link_f, y, Y_metadata=None): argument
196 def dlogpdf_link_dr(self, inv_link_f, y, Y_metadata=None): argument
228 def dlogpdf_dlink_dr(self, inv_link_f, y, Y_metadata=None): argument
303 def dlogpdf_link_dtheta(self, f, y, Y_metadata=None): argument
308 def dlogpdf_dlink_dtheta(self, f, y, Y_metadata=None): argument
313 def d2logpdf_dlink2_dtheta(self, f, y, Y_metadata=None): argument
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| H A D | loggaussian.py | 35 def pdf_link(self, link_f, y, Y_metadata=None): argument
47 def logpdf_link(self, link_f, y, Y_metadata=None): argument
67 def dlogpdf_dlink(self, link_f, y, Y_metadata=None): argument
96 def d2logpdf_dlink2(self, link_f, y, Y_metadata=None): argument
133 def d3logpdf_dlink3(self, link_f, y, Y_metadata=None): argument
164 def dlogpdf_link_dvar(self, link_f, y, Y_metadata=None): argument
193 def dlogpdf_dlink_dvar(self, link_f, y, Y_metadata=None): argument
248 def dlogpdf_link_dtheta(self, f, y, Y_metadata=None): argument
262 def dlogpdf_dlink_dtheta(self, f, y, Y_metadata=None): argument
276 def d2logpdf_dlink2_dtheta(self, f, y, Y_metadata=None): argument
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| H A D | likelihood.py | 499 def pdf_link(self, inv_link_f, y, Y_metadata=None): argument
523 def pdf(self, f, y, Y_metadata=None): argument
544 def logpdf_sum(self, f, y, Y_metadata=None): argument
551 def logpdf(self, f, y, Y_metadata=None): argument
572 def dlogpdf_df(self, f, y, Y_metadata=None): argument
597 def d2logpdf_df2(self, f, y, Y_metadata=None): argument
625 def d3logpdf_df3(self, f, y, Y_metadata=None): argument
655 def dlogpdf_dtheta(self, f, y, Y_metadata=None): argument
671 def dlogpdf_df_dtheta(self, f, y, Y_metadata=None): argument
721 def _laplace_gradients(self, f, y, Y_metadata=None): argument
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| H A D | bernoulli.py | 94 def variational_expectations(self, Y, m, v, gh_points=None, Y_metadata=None): argument
120 def predictive_mean(self, mu, variance, Y_metadata=None): argument
131 def predictive_variance(self, mu, variance, pred_mean, Y_metadata=None): argument
138 def pdf_link(self, inv_link_f, y, Y_metadata=None): argument
159 def logpdf_link(self, inv_link_f, y, Y_metadata=None): argument
178 def dlogpdf_dlink(self, inv_link_f, y, Y_metadata=None): argument
199 def d2logpdf_dlink2(self, inv_link_f, y, Y_metadata=None): argument
228 def d3logpdf_dlink3(self, inv_link_f, y, Y_metadata=None): argument
251 def predictive_quantiles(self, mu, var, quantiles, Y_metadata=None): argument
260 def samples(self, gp, Y_metadata=None): argument
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| H A D | mixed_noise.py | 23 def gaussian_variance(self, Y_metadata): argument
31 def betaY(self,Y,Y_metadata): argument
38 def exact_inference_gradients(self, dL_dKdiag, Y_metadata): argument
43 def predictive_values(self, mu, var, full_cov=False, Y_metadata=None): argument
52 def predictive_variance(self, mu, sigma, Y_metadata): argument
56 def predictive_quantiles(self, mu, var, quantiles, Y_metadata): argument
66 def samples(self, gp, Y_metadata): argument
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| H A D | binomial.py | 30 def pdf_link(self, inv_link_f, y, Y_metadata): argument
50 def logpdf_link(self, inv_link_f, y, Y_metadata=None): argument
77 def dlogpdf_dlink(self, inv_link_f, y, Y_metadata=None): argument
103 def d2logpdf_dlink2(self, inv_link_f, y, Y_metadata=None): argument
134 def d3logpdf_dlink3(self, inv_link_f, y, Y_metadata=None): argument
165 def samples(self, gp, Y_metadata=None, **kw): argument
177 def exact_inference_gradients(self, dL_dKdiag,Y_metadata=None): argument
214 def variational_expectations(self, Y, m, v, gh_points=None, Y_metadata=None): argument
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| H A D | exponential.py | 25 def pdf_link(self, link_f, y, Y_metadata=None): argument
44 def logpdf_link(self, link_f, y, Y_metadata=None): argument
63 def dlogpdf_dlink(self, link_f, y, Y_metadata=None): argument
83 def d2logpdf_dlink2(self, link_f, y, Y_metadata=None): argument
108 def d3logpdf_dlink3(self, link_f, y, Y_metadata=None): argument
127 def samples(self, gp, Y_metadata=None): argument
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| H A D | gamma.py | 30 def pdf_link(self, link_f, y, Y_metadata=None): argument
52 def logpdf_link(self, link_f, y, Y_metadata=None): argument
75 def dlogpdf_dlink(self, link_f, y, Y_metadata=None): argument
97 def d2logpdf_dlink2(self, link_f, y, Y_metadata=None): argument
124 def d3logpdf_dlink3(self, link_f, y, Y_metadata=None): argument
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| H A D | poisson.py | 33 def pdf_link(self, link_f, y, Y_metadata=None): argument
52 def logpdf_link(self, link_f, y, Y_metadata=None): argument
70 def dlogpdf_dlink(self, link_f, y, Y_metadata=None): argument
88 def d2logpdf_dlink2(self, link_f, y, Y_metadata=None): argument
111 def d3logpdf_dlink3(self, link_f, y, Y_metadata=None): argument
141 def samples(self, gp, Y_metadata=None): argument
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| /dports/science/py-GPy/GPy-1.10.0/GPy/testing/ |
| H A D | likelihood_tests.py | 441 def t_logpdf(self, model, Y, f, Y_metadata): argument
451 def t_dlogpdf_df(self, model, Y, f, Y_metadata): argument
462 def t_d2logpdf_df2(self, model, Y, f, Y_metadata): argument
472 def t_d3logpdf_df3(self, model, Y, f, Y_metadata): argument
485 def t_dlogpdf_dparams(self, model, Y, f, Y_metadata, params, params_names, param_constraints): argument
518 def t_dlogpdf_dlink(self, model, Y, f, Y_metadata, link_f_constraints): argument
534 def t_d2logpdf_dlink2(self, model, Y, f, Y_metadata, link_f_constraints): argument
550 def t_d3logpdf_dlink3(self, model, Y, f, Y_metadata, link_f_constraints): argument
657 def t_varexp(self, model, Y, Y_metadata): argument
687 def t_dexp_dmu(self, model, Y, Y_metadata): argument
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| /dports/science/py-GPy/GPy-1.10.0/GPy/models/ |
| H A D | multioutput_gp.py | 52 def predict_noiseless(self, Xnew, full_cov=False, Y_metadata=None, kern=None): argument
59 …def predict(self, Xnew, full_cov=False, Y_metadata=None, kern=None, likelihood=None, include_likel… argument
66 …def predict_quantiles(self, X, quantiles=(2.5, 97.5), Y_metadata=None, kern=None, likelihood=None): argument
124 def log_predictive_density(self, x_test, y_test, Y_metadata=None): argument
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| H A D | warped_gp.py | 89 def predict(self, Xnew, kern=None, pred_init=None, Y_metadata=None, argument
118 …def predict_quantiles(self, X, quantiles=(2.5, 97.5), Y_metadata=None, likelihood=None, kern=None): argument
143 def log_predictive_density(self, x_test, y_test, Y_metadata=None): argument
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| H A D | sparse_gp_classification.py | 32 …def __init__(self, X, Y=None, likelihood=None, kernel=None, Z=None, num_inducing=10, Y_metadata=No… argument
124 …def __init__(self, X, X_variance, Y, kernel=None, Z=None, num_inducing=10, Y_metadata=None, normal… argument
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| H A D | gp_heteroscedastic_regression.py | 22 def __init__(self, X, Y, kernel=None, Y_metadata=None): argument
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| H A D | gp_grid_regression.py | 29 def __init__(self, X, Y, kernel=None, Y_metadata=None, normalizer=None): argument
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| H A D | one_vs_all_classification.py | 24 def __init__(self, X, Y, kernel=None,Y_metadata=None,messages=True): argument
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| /dports/science/py-GPy/GPy-1.10.0/GPy/inference/latent_function_inference/ |
| H A D | laplace.py | 43 …def LOO(self, kern, X, Y, likelihood, posterior, Y_metadata=None, K=None, f_hat=None, W=None, Ki_W… argument
122 def inference(self, kern, X, likelihood, Y, mean_function=None, Y_metadata=None): argument
148 def rasm_mode(self, K, Y, likelihood, Ki_f_init, Y_metadata=None, *args, **kwargs): argument
233 def mode_computations(self, f_hat, Ki_f, K, Y, likelihood, kern, Y_metadata): argument
356 def rasm_mode(self, K, Y, likelihood, Ki_f_init, Y_metadata=None, *args, **kwargs): argument
419 def mode_computations(self, f_hat, Ki_f, K, Y, likelihood, kern, Y_metadata): argument
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| H A D | dtc.py | 23 def inference(self, kern, X, Z, likelihood, Y, mean_function=None, Y_metadata=None): argument
92 def inference(self, kern, X, Z, likelihood, Y, mean_function=None, Y_metadata=None): argument
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| H A D | exact_gaussian_inference.py | 37 …def inference(self, kern, X, likelihood, Y, mean_function=None, Y_metadata=None, K=None, variance=… argument
76 def LOO(self, kern, X, Y, likelihood, posterior, Y_metadata=None, K=None): argument
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| H A D | expectation_propagation.py | 253 …def inference(self, kern, X, likelihood, Y, mean_function=None, Y_metadata=None, precision=None, K… argument
286 def expectation_propagation(self, mean_prior, K, Y, likelihood, Y_metadata): argument
337 …data, cav_params, post_params, marg_moments, ga_approx, likelihood, Y, Y_metadata, update_order=No… argument
386 …def _inference(self, Y, mean_prior, K, ga_approx, cav_params, likelihood, Z_tilde, Y_metadata=None… argument
444 …def inference(self, kern, X, Z, likelihood, Y, mean_function=None, Y_metadata=None, Lm=None, dL_dK… argument
488 def expectation_propagation(self, Kmm, Kmn, Y, likelihood, Y_metadata): argument
560 … Kmn, cav_params, post_params, marg_moments, ga_approx, likelihood, Y, Y_metadata, update_order=No… argument
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| /dports/science/py-GPy/GPy-1.10.0/GPy/core/ |
| H A D | gp.py | 38 …nel, likelihood, mean_function=None, inference_method=None, name='gp', Y_metadata=None, normalizer… argument
304 def predict(self, Xnew, full_cov=False, Y_metadata=None, kern=None, argument
363 def predict_noiseless(self, Xnew, full_cov=False, Y_metadata=None, kern=None): argument
391 …def predict_quantiles(self, X, quantiles=(2.5, 97.5), Y_metadata=None, kern=None, likelihood=None): argument
627 def posterior_samples(self, X, size=10, Y_metadata=None, likelihood=None, **predict_kwargs): argument
696 def log_predictive_density(self, x_test, y_test, Y_metadata=None): argument
712 def log_predictive_density_sampling(self, x_test, y_test, Y_metadata=None, num_samples=1000): argument
745 def posterior_covariance_between_points(self, X1, X2, Y_metadata=None, argument
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