| /dports/science/py-GPy/GPy-1.10.0/GPy/models/ |
| H A D | sparse_gp_coregionalized_regression.py | 37 …_list, Z_list=[], kernel=None, likelihoods_list=None, num_inducing=10, X_variance=None, name='SGPC… argument
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| H A D | sparse_gp_regression.py | 33 …def __init__(self, X, Y, kernel=None, Z=None, num_inducing=10, X_variance=None, mean_function=None… argument
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| H A D | dpgplvm.py | 10 def __init__(self, Y, input_dim, X_prior, X=None, X_variance=None, init='PCA', num_inducing=10, argument
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| H A D | bayesian_gplvm_minibatch.py | 24 def __init__(self, Y, input_dim, X=None, X_variance=None, init='PCA', num_inducing=10, argument
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| H A D | ss_mrd.py | 16 …def __init__(self, Ylist, input_dim, X=None, X_variance=None, Gammas=None, initx = 'PCA_concat', i… argument
71 def _init_X(self, Ylist, input_dim, X=None, X_variance=None, Gammas=None, initx='PCA_concat'): argument
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| H A D | bayesian_gplvm.py | 24 def __init__(self, Y, input_dim, X=None, X_variance=None, init='PCA', num_inducing=10, argument
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| H A D | sparse_gp_classification.py | 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 | mrd.py | 59 def __init__(self, Ylist, input_dim, X=None, X_variance=None, argument
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| H A D | ss_gplvm.py | 189 … def __init__(self, Y, input_dim, X=None, X_variance=None, Gamma=None, init='PCA', num_inducing=10, argument
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| /dports/science/py-GPy/GPy-1.10.0/GPy/core/ |
| H A D | sparse_gp.py | 41 …def __init__(self, X, Y, Z, kernel, likelihood, mean_function=None, X_variance=None, inference_met… argument
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