Remove some math utilities from the PyMC root scope?

[ricardoV94]

Description

I would suggest moving those first six back to the math module scope.

[iykat]

Hi @ricardoV94 I will be happy to work on it. Do you have any implementation in mind?

[ricardoV94]

This is the current output of dir(pymc)

['ADVI',
 'AR',
 'ASVGD',
 'Approximation',
 'AsymmetricLaplace',
 'Bernoulli',
 'Beta',
 'BetaBinomial',
 'BinaryGibbsMetropolis',
 'BinaryMetropolis',
 'Binomial',
 'Bound',
 'CAR',
 'CallableTensor',
 'Categorical',
 'CategoricalGibbsMetropolis',
 'Cauchy',
 'CauchyProposal',
 'Censored',
 'ChiSquared',
 'CompoundStep',
 'ConstantData',
 'Continuous',
 'CustomDist',
 'DEMetropolis',
 'DEMetropolisZ',
 'Data',
 'DensityDist',
 'Deterministic',
 'DictToArrayBijection',
 'DiracDelta',
 'Dirichlet',
 'DirichletMultinomial',
 'Discrete',
 'DiscreteUniform',
 'DiscreteWeibull',
 'Distribution',
 'ELPDData',
 'Empirical',
 'EulerMaruyama',
 'ExGaussian',
 'Exponential',
 'Flat',
 'FullRank',
 'FullRankADVI',
 'GARCH11',
 'Gamma',
 'GaussianRandomWalk',
 'GeneratorAdapter',
 'Geometric',
 'Group',
 'Gumbel',
 'HalfCauchy',
 'HalfFlat',
 'HalfNormal',
 'HalfStudentT',
 'HamiltonianMC',
 'HurdleGamma',
 'HurdleLogNormal',
 'HurdleNegativeBinomial',
 'HurdlePoisson',
 'HyperGeometric',
 'ICAR',
 'ImplicitGradient',
 'ImputationWarning',
 'IncorrectArgumentsError',
 'Inference',
 'Interpolated',
 'InverseGamma',
 'KLqp',
 'KroneckerNormal',
 'Kumaraswamy',
 'LKJCholeskyCov',
 'LKJCorr',
 'Laplace',
 'LaplaceProposal',
 'LogNormal',
 'Logistic',
 'LogitNormal',
 'Lognormal',
 'MatrixNormal',
 'MeanField',
 'Metropolis',
 'Minibatch',
 'Mixture',
 'Model',
 'Moyal',
 'Multinomial',
 'MultivariateNormalProposal',
 'MutableData',
 'MvGaussianRandomWalk',
 'MvNormal',
 'MvStudentT',
 'MvStudentTRandomWalk',
 'NUTS',
 'NegativeBinomial',
 'Normal',
 'NormalMixture',
 'NormalProposal',
 'OrderedLogistic',
 'OrderedMultinomial',
 'OrderedProbit',
 'Pareto',
 'Point',
 'Poisson',
 'PoissonProposal',
 'PolyaGamma',
 'Potential',
 'RandomWalk',
 'Rice',
 'STEP_METHODS',
 'SVGD',
 'SamplingError',
 'ShapeError',
 'ShapeWarning',
 'Simulator',
 'SkewNormal',
 'Slice',
 'Stein',
 'StickBreakingWeights',
 'StudentT',
 'SymbolicRandomVariable',
 'TraceDirectoryError',
 'Triangular',
 'Truncated',
 'TruncatedNormal',
 'Uniform',
 'UniformProposal',
 'VonMises',
 'Wald',
 'Weibull',
 'Wishart',
 'WishartBartlett',
 'ZeroInflatedBinomial',
 'ZeroInflatedNegativeBinomial',
 'ZeroInflatedPoisson',
 'ZeroSumNormal',
 '__builtins__',
 '__cached__',
 '__doc__',
 '__file__',
 '__loader__',
 '__name__',
 '__package__',
 '__path__',
 '__set_compiler_flags',
 '__spec__',
 '__version__',
 '_calculate_ics',
 '_log',
 '_version',
 'adadelta',
 'adagrad',
 'adagrad_window',
 'adam',
 'adamax',
 'apply_momentum',
 'apply_nesterov_momentum',
 'apply_test_function',
 'approximations',
 'arraystep',
 'autocorr',
 'autocorrplot',
 'autocov',
 'backends',
 'bfmi',
 'blocking',
 'bool_types',
 'callbacks',
 'compare',
 'compareplot',
 'compile_fn',
 'compile_forward_sampling_function',
 'compile_pymc',
 'complex_types',
 'compound',
 'compute_log_likelihood',
 'cont_inputs',
 'continuous_types',
 'convert_observed_data',
 'data',
 'densityplot',
 'discrete_types',
 'distributions',
 'do',
 'draw',
 'drop_warning_stat',
 'energyplot',
 'ess',
 'exceptions',
 'expand_packed_triangular',
 'find_MAP',
 'find_constrained_prior',
 'find_hessian',
 'fit',
 'floatX',
 'float_types',
 'forestplot',
 'forward',
 'func_utils',
 'generator',
 'get_data',
 'gp',
 'gradient',
 'guess_scaling',
 'handler',
 'hdi',
 'hessian',
 'hessian_diag',
 'hmc',
 'icdf',
 'inference',
 'init_nuts',
 'initial_point',
 'inputvars',
 'intX',
 'int_types',
 'invlogit',
 'invprobit',
 'isgenerator',
 'jacobian',
 'join_nonshared_inputs',
 'kde',
 'kdeplot',
 'logaddexp',
 'logcdf',
 'logging',
 'logit',
 'logp',
 'logprob',
 'logsumexp',
 'loo',
 'loo_pit',
 'make_shared_replacements',
 'make_ufunc',
 'math',
 'mcmc',
 'mcse',
 'metropolis',
 'minibatch_rv',
 'model',
 'model_graph',
 'model_to_graphviz',
 'model_to_networkx',
 'modelcontext',
 'momentum',
 'nesterov_momentum',
 'norm_constraint',
 'observe',
 'ode',
 'operators',
 'opvi',
 'pairplot',
 'parallel',
 'plot_autocorr',
 'plot_bf',
 'plot_bpv',
 'plot_compare',
 'plot_density',
 'plot_dist',
 'plot_dist_comparison',
 'plot_dot',
 'plot_ecdf',
 'plot_elpd',
 'plot_energy',
 'plot_ess',
 'plot_forest',
 'plot_hdi',
 'plot_kde',
 'plot_khat',
 'plot_lm',
 'plot_loo_pit',
 'plot_mcse',
 'plot_pair',
 'plot_parallel',
 'plot_posterior',
 'plot_ppc',
 'plot_rank',
 'plot_separation',
 'plot_trace',
 'plot_ts',
 'plot_violin',
 'plots',
 'population',
 'predictions_to_inference_data',
 'printing',
 'probit',
 'psislw',
 'pytensorf',
 'r2_samples',
 'r2_score',
 'reloo',
 'rhat',
 'rmsprop',
 'sample',
 'sample_approx',
 'sample_posterior_predictive',
 'sample_posterior_predictive_w',
 'sample_prior_predictive',
 'sample_smc',
 'sampling',
 'scaling',
 'set_data',
 'sgd',
 'slicer',
 'smartfloatX',
 'smc',
 'starting',
 'stats',
 'stein',
 'step_methods',
 'step_sizes',
 'str_for_dist',
 'str_for_model',
 'str_for_potential_or_deterministic',
 'summary',
 'test_functions',
 'to_inference_data',
 'total_norm_constraint',
 'trace_cov',
 'traceplot',
 'tuning',
 'typefilter',
 'updates',
 'util',
 'variational',
 'vartypes',
 'waic',
 'weight_predictions',
 'wrap_xarray_ufunc']