CONDUCT.md
CONTRIBUTING.md
GOVERNANCE.md
MANIFEST.in
README.rst
RELEASE-NOTES.md
requirements.txt
setup.cfg
setup.py
setupegg.py
docs/.DS_Store
docs/pymc3_logo.jpg
docs/quantopianlogo.jpg
docs/requirements-docs.txt
docs/logos/PyMC3.ai
docs/logos/PyMC3.eps
docs/logos/PyMC3.jpg
docs/logos/PyMC3.pdf
docs/logos/PyMC3.png
docs/logos/svg/PyMC3_banner.svg
docs/logos/svg/PyMC3_circle.svg
docs/logos/svg/PyMC3_square.svg
docs/release-notes/pymc3-3.0.md
docs/source/.DS_Store
docs/source/Makefile
docs/source/api.rst
docs/source/conf.py
docs/source/examples.rst
docs/source/getting_started.rst
docs/source/index.rst
docs/source/make.bat
docs/source/api/backends.rst
docs/source/api/data.rst
docs/source/api/diagnostics.rst
docs/source/api/distributions.rst
docs/source/api/glm.rst
docs/source/api/gp.rst
docs/source/api/inference.rst
docs/source/api/math.rst
docs/source/api/plots.rst
docs/source/api/stats.rst
docs/source/api/distributions/continuous.rst
docs/source/api/distributions/discrete.rst
docs/source/api/distributions/mixture.rst
docs/source/api/distributions/multivariate.rst
docs/source/data/Guber1999data.txt
docs/source/data/HtWt.csv
docs/source/data/SP500.csv
docs/source/data/cty.dat
docs/source/data/efron-morris-75-data.tsv
docs/source/data/extrahard_MC_500_5_4.npz.npy
docs/source/data/extrahard_MC_500_5_4_reference_classes.npy
docs/source/data/pancreatitis.csv
docs/source/data/radon.csv
docs/source/data/srrs2.dat
docs/source/data/stock_prices.csv
docs/source/data/test_scores.csv
docs/source/data/wells.dat
docs/source/data/pmf/jester-dataset-v1-dense-first-1000.csv
docs/source/data/pmf/jokes.json
docs/source/data/pmf/6bb8d06c69c0666e6da14c094d4320d115f1ffc8/shapes.json
docs/source/data/pmf/6bb8d06c69c0666e6da14c094d4320d115f1ffc8/test.txt
docs/source/data/pmf/6bb8d06c69c0666e6da14c094d4320d115f1ffc8/train.txt
docs/source/notebooks/BEST.ipynb
docs/source/notebooks/Diagnosing_biased_Inference_with_Divergences.ipynb
docs/source/notebooks/Euler-Maruyama and SDEs.ipynb
docs/source/notebooks/GLM-hierarchical-advi-minibatch.ipynb
docs/source/notebooks/GLM-hierarchical.ipynb
docs/source/notebooks/GLM-linear.ipynb
docs/source/notebooks/GLM-logistic.ipynb
docs/source/notebooks/GLM-model-selection.ipynb
docs/source/notebooks/GLM-negative-binomial-regression.ipynb
docs/source/notebooks/GLM-poisson-regression.ipynb
docs/source/notebooks/GLM-robust-with-outlier-detection.ipynb
docs/source/notebooks/GLM-robust.ipynb
docs/source/notebooks/GLM-rolling-regression.ipynb
docs/source/notebooks/GLM.ipynb
docs/source/notebooks/GP-covariances.ipynb
docs/source/notebooks/GP-slice-sampling.ipynb
docs/source/notebooks/GP-smoothing.ipynb
docs/source/notebooks/LKJ.ipynb
docs/source/notebooks/Model Comparison.ipynb
docs/source/notebooks/PyMC3_tips_and_heuristic.ipynb
docs/source/notebooks/api_quickstart.ipynb
docs/source/notebooks/bayesian_neural_network_advi.ipynb
docs/source/notebooks/bayesian_neural_network_opvi-advi.ipynb
docs/source/notebooks/bayesian_neural_network_opvi-advi.ipynb.orig
docs/source/notebooks/convolutional_vae_keras_advi.ipynb
docs/source/notebooks/cox_model.ipynb
docs/source/notebooks/dawid-skene.ipynb
docs/source/notebooks/dependent_density_regression.ipynb
docs/source/notebooks/dp_mix.ipynb
docs/source/notebooks/gaussian-mixture-model-advi.ipynb
docs/source/notebooks/gaussian_mixture_model.ipynb
docs/source/notebooks/gaussian_process.ipynb
docs/source/notebooks/getting_started.ipynb
docs/source/notebooks/hierarchical_partial_pooling.ipynb
docs/source/notebooks/howto_debugging.ipynb
docs/source/notebooks/lasso_block_update.ipynb
docs/source/notebooks/lda-advi-aevb.ipynb
docs/source/notebooks/live_sample_plots.ipynb
docs/source/notebooks/marginalized_gaussian_mixture_model.ipynb
docs/source/notebooks/multilevel_modeling.ipynb
docs/source/notebooks/posterior_predictive.ipynb
docs/source/notebooks/probabilistic_matrix_factorization.ipynb
docs/source/notebooks/profiling.ipynb
docs/source/notebooks/rugby_analytics.ipynb
docs/source/notebooks/sampler-stats.ipynb
docs/source/notebooks/stochastic_volatility.ipynb
docs/source/notebooks/survival_analysis.ipynb
docs/source/notebooks/updating_priors.ipynb
docs/source/notebooks/variational_api_quickstart.ipynb
docs/source/notebooks/.ipynb_checkpoints/BEST-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/Diagnosing_biased_Inference_with_Divergences-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/Euler-Maruyama and SDEs-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/GLM-hierarchical-ADVI-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/GLM-hierarchical-advi-minibatch-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/GLM-logistic-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/GLM-poisson-regression-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/GP-covariances-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/GP-introduction-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/GP-slice-sampling-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/GP-smoothing-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/LKJ-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/Model Comparison-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/PyMC3_tips_and_heuristic-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/SMC2_gaussians-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/Untitled-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/advi-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/api_quickstart-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/bayesian_neural_network_advi-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/bayesian_neural_network_opvi-advi-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/convolutional_vae_keras_advi-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/cox_model-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/dawid-skene-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/dependent_density_regression-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/dp_mix-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/gaussian-mixture-model-advi-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/gaussian_mixture_model-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/gaussian_process-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/getting_started-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/hierarchical_partial_pooling-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/lda-advi-aevb-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/live_sample_plots-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/multilevel_modeling-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/posterior_predictive-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/probabilistic_matrix_factorization-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/rugby_analytics-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/sampler-stats-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/stochastic_volatility-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/survival_analysis-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/updating_priors-checkpoint.ipynb
docs/source/notebooks/.ipynb_checkpoints/variational_api_quickstart-checkpoint.ipynb
pymc3/__init__.py
pymc3/blocking.py
pymc3/data.py
pymc3/debug.py
pymc3/diagnostics.py
pymc3/exceptions.py
pymc3/math.py
pymc3/memoize.py
pymc3/model.py
pymc3/sampling.py
pymc3/stats.py
pymc3/theanof.py
pymc3/util.py
pymc3/vartypes.py
pymc3.egg-info/PKG-INFO
pymc3.egg-info/SOURCES.txt
pymc3.egg-info/dependency_links.txt
pymc3.egg-info/requires.txt
pymc3.egg-info/top_level.txt
pymc3/backends/__init__.py
pymc3/backends/base.py
pymc3/backends/hdf5.py
pymc3/backends/ndarray.py
pymc3/backends/smc_text.py
pymc3/backends/sqlite.py
pymc3/backends/text.py
pymc3/backends/tracetab.py
pymc3/distributions/__init__.py
pymc3/distributions/continuous.py
pymc3/distributions/discrete.py
pymc3/distributions/dist_math.py
pymc3/distributions/distribution.py
pymc3/distributions/mixture.py
pymc3/distributions/multivariate.py
pymc3/distributions/special.py
pymc3/distributions/timeseries.py
pymc3/distributions/transforms.py
pymc3/examples/GHME_2013.py
pymc3/examples/LKJ_correlation.py
pymc3/examples/__init__.py
pymc3/examples/arbitrary_stochastic.py
pymc3/examples/arma_example.py
pymc3/examples/baseball.py
pymc3/examples/censored_data.py
pymc3/examples/custom_dists.py
pymc3/examples/disaster_model_arbitrary_deterministic.py
pymc3/examples/factor_potential.py
pymc3/examples/garch_example.py
pymc3/examples/gelman_bioassay.py
pymc3/examples/gelman_schools.py
pymc3/examples/lasso_missing.py
pymc3/examples/lightspeed_example.py
pymc3/examples/simpletest.py
pymc3/examples/data/Guber1999data.txt
pymc3/examples/data/HtWt.csv
pymc3/examples/data/SP500.csv
pymc3/examples/data/cty.dat
pymc3/examples/data/efron-morris-75-data.tsv
pymc3/examples/data/extrahard_MC_500_5_4.npz.npy
pymc3/examples/data/extrahard_MC_500_5_4_reference_classes.npy
pymc3/examples/data/pancreatitis.csv
pymc3/examples/data/radon.csv
pymc3/examples/data/srrs2.dat
pymc3/examples/data/stock_prices.csv
pymc3/examples/data/test_scores.csv
pymc3/examples/data/wells.dat
pymc3/examples/data/pmf/jester-dataset-v1-dense-first-1000.csv
pymc3/examples/data/pmf/jokes.json
pymc3/examples/data/pmf/6bb8d06c69c0666e6da14c094d4320d115f1ffc8/shapes.json
pymc3/examples/data/pmf/6bb8d06c69c0666e6da14c094d4320d115f1ffc8/test.txt
pymc3/examples/data/pmf/6bb8d06c69c0666e6da14c094d4320d115f1ffc8/train.txt
pymc3/external/__init__.py
pymc3/glm/__init__.py
pymc3/glm/families.py
pymc3/glm/linear.py
pymc3/glm/utils.py
pymc3/gp/__init__.py
pymc3/gp/cov.py
pymc3/gp/gp.py
pymc3/gp/mean.py
pymc3/plots/__init__.py
pymc3/plots/artists.py
pymc3/plots/autocorrplot.py
pymc3/plots/compareplot.py
pymc3/plots/energyplot.py
pymc3/plots/forestplot.py
pymc3/plots/kdeplot.py
pymc3/plots/posteriorplot.py
pymc3/plots/traceplot.py
pymc3/plots/utils.py
pymc3/step_methods/__init__.py
pymc3/step_methods/arraystep.py
pymc3/step_methods/compound.py
pymc3/step_methods/elliptical_slice.py
pymc3/step_methods/gibbs.py
pymc3/step_methods/metropolis.py
pymc3/step_methods/slicer.py
pymc3/step_methods/smc.py
pymc3/step_methods/hmc/__init__.py
pymc3/step_methods/hmc/base_hmc.py
pymc3/step_methods/hmc/hmc.py
pymc3/step_methods/hmc/nuts.py
pymc3/step_methods/hmc/quadpotential.py
pymc3/step_methods/hmc/trajectory.py
pymc3/tests/__init__.py
pymc3/tests/backend_fixtures.py
pymc3/tests/checks.py
pymc3/tests/conftest.py
pymc3/tests/helpers.py
pymc3/tests/models.py
pymc3/tests/sampler_fixtures.py
pymc3/tests/test_diagnostics.py
pymc3/tests/test_dist_math.py
pymc3/tests/test_distribution_defaults.py
pymc3/tests/test_distributions.py
pymc3/tests/test_distributions_random.py
pymc3/tests/test_distributions_timeseries.py
pymc3/tests/test_examples.py
pymc3/tests/test_glm.py
pymc3/tests/test_gp.py
pymc3/tests/test_hdf5_backend.py
pymc3/tests/test_hmc.py
pymc3/tests/test_math.py
pymc3/tests/test_memo.py
pymc3/tests/test_minibatches.py
pymc3/tests/test_missing.py
pymc3/tests/test_mixture.py
pymc3/tests/test_model.py
pymc3/tests/test_model_func.py
pymc3/tests/test_model_helpers.py
pymc3/tests/test_modelcontext.py
pymc3/tests/test_models_linear.py
pymc3/tests/test_models_utils.py
pymc3/tests/test_ndarray_backend.py
pymc3/tests/test_pickling.py
pymc3/tests/test_plots.py
pymc3/tests/test_posdef_sym.py
pymc3/tests/test_posteriors.py
pymc3/tests/test_profile.py
pymc3/tests/test_quadpotential.py
pymc3/tests/test_random.py
pymc3/tests/test_sampling.py
pymc3/tests/test_shared.py
pymc3/tests/test_smc.py
pymc3/tests/test_special_functions.py
pymc3/tests/test_sqlite_backend.py
pymc3/tests/test_starting.py
pymc3/tests/test_stats.py
pymc3/tests/test_step.py
pymc3/tests/test_text_backend.py
pymc3/tests/test_theanof.py
pymc3/tests/test_tracetab.py
pymc3/tests/test_transforms.py
pymc3/tests/test_tuning.py
pymc3/tests/test_types.py
pymc3/tests/test_updates.py
pymc3/tests/test_util.py
pymc3/tests/test_variational_inference.py
pymc3/tuning/__init__.py
pymc3/tuning/scaling.py
pymc3/tuning/starting.py
pymc3/variational/__init__.py
pymc3/variational/advi.py
pymc3/variational/advi_minibatch.py
pymc3/variational/approximations.py
pymc3/variational/callbacks.py
pymc3/variational/inference.py
pymc3/variational/operators.py
pymc3/variational/opvi.py
pymc3/variational/stein.py
pymc3/variational/test_functions.py
pymc3/variational/updates.py
scripts/create_testenv.sh
scripts/install_miniconda.sh
scripts/lint.sh
scripts/start_container.sh
scripts/test.sh