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examples/posterior_sampling.py

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X_mean, X_cov = model.likelihood(Z0)
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print("likelihood mean shape:", X_mean.shape)
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# Draw samples from likelihood (optional)
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# Draw samples from likelihood
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X_lik_samples = model.sample_likelihood(Z0, n_draws=10)
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print("X_lik_samples shape:", X_lik_samples.shape)
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print("Done")

pyproject.toml

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@@ -4,7 +4,7 @@ build-backend = "scikit_build_core.build"
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[project]
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name = "ppca-py"
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version = "1.0.3"
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version = "1.0.4"
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description = "Probabilistic PCA (PPCA) with missing-data support - fast C++ core, clean Python API"
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readme = "README.md"
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license = {file = "LICENSE"}

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