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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"id": "9b033aad-8a25-4665-aaaa-3e3f974944ce", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# %load_ext autoreload\n", | |
"# %autoreload 2" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"id": "initial_id", | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2024-10-31T19:10:45.531028Z", | |
"start_time": "2024-10-31T19:10:43.534555Z" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"import pytensor\n", | |
"import pytensor.tensor as pt\n", | |
"import pymc as pm\n", | |
"\n", | |
"from pytensor.graph.fg import FunctionGraph\n", | |
"from pytensor.graph.rewriting.basic import node_rewriter, out2in\n", | |
"from pymc.model.fgraph import fgraph_from_model, model_from_fgraph, ModelObservedRV, ModelFreeRV, model_observed_rv" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "f2de42a4-f821-42cf-b7ed-4dab53b8c0b5", | |
"metadata": {}, | |
"source": [ | |
"## Summary stats rewrites" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"id": "16c05fe619c60446", | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2024-10-31T19:10:45.547421Z", | |
"start_time": "2024-10-31T19:10:45.533816Z" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"@node_rewriter(tracks=[ModelObservedRV])\n", | |
"def summary_stats_normal(fgraph: FunctionGraph, node):\n", | |
" \"\"\"This applies the equivalence (up to a normalizing constant) described in:\n", | |
" \n", | |
" https://mc-stan.org/docs/stan-users-guide/efficiency-tuning.html#exploiting-sufficient-statistics \n", | |
" \"\"\"\n", | |
" [observed_rv] = node.outputs\n", | |
" [rv, data] = node.inputs\n", | |
" \n", | |
" if not isinstance(rv.owner.op, pm.Normal):\n", | |
" return None\n", | |
" \n", | |
" # Check the normal RV is not just a scalar\n", | |
" if all(rv.type.broadcastable):\n", | |
" return None\n", | |
"\n", | |
" # Check that the observed RV is not used anywhere else (like a Potential or Deterministic)\n", | |
" # There should be only one use: as an \"output\"\n", | |
" if len(fgraph.clients[observed_rv]) > 1:\n", | |
" return None\n", | |
"\n", | |
" mu, sigma = rv.owner.op.dist_params(rv.owner)\n", | |
"\n", | |
" # Check if mu and sigma are scalar RVs\n", | |
" if not all(mu.type.broadcastable) and not all(sigma.type.broadcastable):\n", | |
" return None\n", | |
" \n", | |
" # Check that mu and sigma are not used anywhere else\n", | |
" # Note: This is too restrictive, it's fine if they're used in Deterministics!\n", | |
" # There should only be two uses: as an \"output\" and as the param of the `rv`\n", | |
" if len(fgraph.clients[mu]) > 2 or len(fgraph.clients[sigma]) > 2:\n", | |
" return None\n", | |
" \n", | |
" # Remove expand_dims\n", | |
" mu = mu.squeeze()\n", | |
" sigma = sigma.squeeze()\n", | |
" \n", | |
" # Apply the rewrite\n", | |
" mean_data = pt.mean(data)\n", | |
" mean_data.name = None\n", | |
" var_data = pt.var(data, ddof=1)\n", | |
" var_data.name = None\n", | |
" N = data.size\n", | |
" sqrt_N = pt.sqrt(N)\n", | |
" nm1_over2 = (N - 1) / 2\n", | |
" \n", | |
" observed_mean = model_observed_rv(\n", | |
" pm.Normal.dist(mu=mu, sigma=sigma / sqrt_N),\n", | |
" mean_data,\n", | |
" )\n", | |
" observed_mean.name = f\"{rv.name}_mean\"\n", | |
" \n", | |
" observed_var = model_observed_rv(\n", | |
" pm.Gamma.dist(alpha=nm1_over2, beta=nm1_over2 / (sigma ** 2)),\n", | |
" var_data,\n", | |
" )\n", | |
" observed_var.name = f\"{rv.name}_var\"\n", | |
" \n", | |
" fgraph.add_output(observed_mean, import_missing=True)\n", | |
" fgraph.add_output(observed_var, import_missing=True)\n", | |
" # node.dprint(depth=3)\n", | |
" fgraph.remove_node(node)\n", | |
" # Just so it shows in the profile\n", | |
" return [node.out.copy()]\n", | |
"\n", | |
"summary_stats_rewrite = out2in(summary_stats_normal, ignore_newtrees=True)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"id": "e1352af22b0a4f2a", | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2024-10-31T19:10:47.995140Z", | |
"start_time": "2024-10-31T19:10:45.548754Z" | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
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"<g id=\"clust1\" class=\"cluster\">\n", | |
"<title>cluster1000</title>\n", | |
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"<text text-anchor=\"middle\" x=\"124.45\" y=\"-14.45\" font-family=\"Times,serif\" font-size=\"14.00\">1000</text>\n", | |
"</g>\n", | |
"<!-- mu -->\n", | |
"<g id=\"node1\" class=\"node\">\n", | |
"<title>mu</title>\n", | |
"<ellipse fill=\"none\" stroke=\"black\" cx=\"39.95\" cy=\"-192.95\" rx=\"39.95\" ry=\"39.07\"/>\n", | |
"<text text-anchor=\"middle\" x=\"39.95\" y=\"-203.28\" font-family=\"Times,serif\" font-size=\"14.00\">mu</text>\n", | |
"<text text-anchor=\"middle\" x=\"39.95\" y=\"-187.53\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n", | |
"<text text-anchor=\"middle\" x=\"39.95\" y=\"-171.78\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n", | |
"</g>\n", | |
"<!-- y -->\n", | |
"<g id=\"node3\" class=\"node\">\n", | |
"<title>y</title>\n", | |
"<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"97.95\" cy=\"-78.82\" rx=\"39.95\" ry=\"39.07\"/>\n", | |
"<text text-anchor=\"middle\" x=\"97.95\" y=\"-89.14\" font-family=\"Times,serif\" font-size=\"14.00\">y</text>\n", | |
"<text text-anchor=\"middle\" x=\"97.95\" y=\"-73.39\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n", | |
"<text text-anchor=\"middle\" x=\"97.95\" y=\"-57.64\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n", | |
"</g>\n", | |
"<!-- mu->y -->\n", | |
"<g id=\"edge1\" class=\"edge\">\n", | |
"<title>mu->y</title>\n", | |
"<path fill=\"none\" stroke=\"black\" d=\"M57.67,-157.7C63.13,-147.15 69.22,-135.37 74.98,-124.24\"/>\n", | |
"<polygon fill=\"black\" stroke=\"black\" points=\"77.96,-126.08 79.45,-115.59 71.74,-122.87 77.96,-126.08\"/>\n", | |
"</g>\n", | |
"<!-- sigma -->\n", | |
"<g id=\"node2\" class=\"node\">\n", | |
"<title>sigma</title>\n", | |
"<ellipse fill=\"none\" stroke=\"black\" cx=\"156.95\" cy=\"-192.95\" rx=\"59.04\" ry=\"39.07\"/>\n", | |
"<text text-anchor=\"middle\" x=\"156.95\" y=\"-203.28\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n", | |
"<text text-anchor=\"middle\" x=\"156.95\" y=\"-187.53\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n", | |
"<text text-anchor=\"middle\" x=\"156.95\" y=\"-171.78\" font-family=\"Times,serif\" font-size=\"14.00\">HalfNormal</text>\n", | |
"</g>\n", | |
"<!-- sigma->y -->\n", | |
"<g id=\"edge2\" class=\"edge\">\n", | |
"<title>sigma->y</title>\n", | |
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"</svg>\n" | |
], | |
"text/plain": [ | |
"<graphviz.graphs.Digraph at 0x7efcca261df0>" | |
] | |
}, | |
"execution_count": 4, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"y_data = pm.draw(pm.Normal.dist(mu=1, sigma=0.5, size=(1000,)), random_seed=42)\n", | |
"\n", | |
"with pm.Model() as m:\n", | |
" mu = pm.Normal(\"mu\")\n", | |
" sigma = pm.HalfNormal(\"sigma\")\n", | |
" y = pm.Normal(\"y\", mu=mu, sigma=sigma, observed=y_data)\n", | |
" \n", | |
"m.to_graphviz()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"id": "a75390e598ae4fe2", | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2024-10-31T19:10:48.074849Z", | |
"start_time": "2024-10-31T19:10:47.997525Z" | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/svg+xml": [ | |
"<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n", | |
"<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n", | |
" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n", | |
"<!-- Generated by graphviz version 12.0.0 (20240803.0821)\n", | |
" -->\n", | |
"<!-- Pages: 1 -->\n", | |
"<svg width=\"224pt\" height=\"200pt\"\n", | |
" viewBox=\"0.00 0.00 223.99 200.27\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n", | |
"<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 196.27)\">\n", | |
"<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-196.27 219.99,-196.27 219.99,4 -4,4\"/>\n", | |
"<!-- y_mean -->\n", | |
"<g id=\"node1\" class=\"node\">\n", | |
"<title>y_mean</title>\n", | |
"<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"51.95\" cy=\"-39.07\" rx=\"39.95\" ry=\"39.07\"/>\n", | |
"<text text-anchor=\"middle\" x=\"51.95\" y=\"-49.39\" font-family=\"Times,serif\" font-size=\"14.00\">y_mean</text>\n", | |
"<text text-anchor=\"middle\" x=\"51.95\" y=\"-33.64\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n", | |
"<text text-anchor=\"middle\" x=\"51.95\" y=\"-17.89\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n", | |
"</g>\n", | |
"<!-- mu -->\n", | |
"<g id=\"node2\" class=\"node\">\n", | |
"<title>mu</title>\n", | |
"<ellipse fill=\"none\" stroke=\"black\" cx=\"39.95\" cy=\"-153.2\" rx=\"39.95\" ry=\"39.07\"/>\n", | |
"<text text-anchor=\"middle\" x=\"39.95\" y=\"-163.53\" font-family=\"Times,serif\" font-size=\"14.00\">mu</text>\n", | |
"<text text-anchor=\"middle\" x=\"39.95\" y=\"-147.78\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n", | |
"<text text-anchor=\"middle\" x=\"39.95\" y=\"-132.03\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n", | |
"</g>\n", | |
"<!-- mu->y_mean -->\n", | |
"<g id=\"edge1\" class=\"edge\">\n", | |
"<title>mu->y_mean</title>\n", | |
"<path fill=\"none\" stroke=\"black\" d=\"M44.05,-113.93C44.89,-106.08 45.78,-97.71 46.66,-89.53\"/>\n", | |
"<polygon fill=\"black\" stroke=\"black\" points=\"50.13,-89.99 47.71,-79.68 43.17,-89.25 50.13,-89.99\"/>\n", | |
"</g>\n", | |
"<!-- y_var -->\n", | |
"<g id=\"node3\" class=\"node\">\n", | |
"<title>y_var</title>\n", | |
"<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"156.95\" cy=\"-39.07\" rx=\"35.18\" ry=\"39.07\"/>\n", | |
"<text text-anchor=\"middle\" x=\"156.95\" y=\"-49.39\" font-family=\"Times,serif\" font-size=\"14.00\">y_var</text>\n", | |
"<text text-anchor=\"middle\" x=\"156.95\" y=\"-33.64\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n", | |
"<text text-anchor=\"middle\" x=\"156.95\" y=\"-17.89\" font-family=\"Times,serif\" font-size=\"14.00\">Gamma</text>\n", | |
"</g>\n", | |
"<!-- sigma -->\n", | |
"<g id=\"node4\" class=\"node\">\n", | |
"<title>sigma</title>\n", | |
"<ellipse fill=\"none\" stroke=\"black\" cx=\"156.95\" cy=\"-153.2\" rx=\"59.04\" ry=\"39.07\"/>\n", | |
"<text text-anchor=\"middle\" x=\"156.95\" y=\"-163.53\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n", | |
"<text text-anchor=\"middle\" x=\"156.95\" y=\"-147.78\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n", | |
"<text text-anchor=\"middle\" x=\"156.95\" y=\"-132.03\" font-family=\"Times,serif\" font-size=\"14.00\">HalfNormal</text>\n", | |
"</g>\n", | |
"<!-- sigma->y_mean -->\n", | |
"<g id=\"edge2\" class=\"edge\">\n", | |
"<title>sigma->y_mean</title>\n", | |
"<path fill=\"none\" stroke=\"black\" d=\"M126.3,-119.47C113.77,-106.08 99.21,-90.54 86.32,-76.77\"/>\n", | |
"<polygon fill=\"black\" stroke=\"black\" points=\"88.97,-74.48 79.58,-69.57 83.86,-79.26 88.97,-74.48\"/>\n", | |
"</g>\n", | |
"<!-- sigma->y_var -->\n", | |
"<g id=\"edge3\" class=\"edge\">\n", | |
"<title>sigma->y_var</title>\n", | |
"<path fill=\"none\" stroke=\"black\" d=\"M156.95,-113.93C156.95,-106.16 156.95,-97.89 156.95,-89.8\"/>\n", | |
"<polygon fill=\"black\" stroke=\"black\" points=\"160.45,-90.07 156.95,-80.07 153.45,-90.07 160.45,-90.07\"/>\n", | |
"</g>\n", | |
"</g>\n", | |
"</svg>\n" | |
], | |
"text/plain": [ | |
"<graphviz.graphs.Digraph at 0x7efcc9ef1e20>" | |
] | |
}, | |
"execution_count": 5, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"fgraph, _ = fgraph_from_model(m)\n", | |
"\n", | |
"# fgraph.dprint()\n", | |
"_ = summary_stats_rewrite.apply(fgraph)\n", | |
"# print()\n", | |
"# fgraph.dprint()\n", | |
"\n", | |
"new_m = model_from_fgraph(fgraph)\n", | |
"new_m.to_graphviz()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"id": "9ba2337e7ff5f6a3", | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2024-10-31T19:10:48.745053Z", | |
"start_time": "2024-10-31T19:10:48.076171Z" | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"{'mu': array(0.), 'sigma_log__': array(0.)}" | |
] | |
}, | |
"execution_count": 6, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"# Confirm equivalent (up to an additive (in log space) normalization constant)\n", | |
"m_logp = m.compile_logp()\n", | |
"new_m_logp = new_m.compile_logp()\n", | |
"\n", | |
"ip = m.initial_point()\n", | |
"ip" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"id": "29f91a23ff4b0bf8", | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2024-10-31T19:10:48.751046Z", | |
"start_time": "2024-10-31T19:10:48.746750Z" | |
} | |
}, | |
"outputs": [], | |
"source": [ | |
"# m_logp(ip) - new_m_logp(ip)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"id": "5af996f937779528", | |
"metadata": { | |
"ExecuteTime": { | |
"end_time": "2024-10-31T19:10:48.758491Z", | |
"start_time": "2024-10-31T19:10:48.752459Z" | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"-711.5313632106386" | |
] | |
}, | |
"execution_count": 8, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"ip[\"mu\"] += 0.5\n", | |
"ip[\"sigma_log__\"] += 1.5\n", | |
"\n", | |
"m_logp(ip) - new_m_logp(ip)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "931b07b7-758f-4aac-a6cc-bd4dc4ed7001", | |
"metadata": {}, | |
"source": [ | |
"## Conjugacy rewrites" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 9, | |
"id": "b39ff55a-24fb-46d7-9b30-57c6c20b9a62", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from pytensor.graph.replace import clone_replace\n", | |
"from pymc.model.core import modelcontext\n", | |
"from pymc.blocking import RaveledVars\n", | |
"from pymc.pytensorf import compile_pymc\n", | |
"from pymc.initial_point import PointType\n", | |
"from pymc.step_methods.compound import BlockedStep, Competence, StepMethodState\n", | |
"from pymc.util import get_value_vars_from_user_vars\n", | |
"from pymc.distributions.distribution import _support_point\n", | |
"from pytensor.link.jax.linker import JAXLinker\n", | |
"from pytensor.tensor.random.type import RandomGeneratorType\n", | |
"\n", | |
"import numpy as np\n", | |
"\n", | |
"from pytensor.compile.builders import OpFromGraph\n", | |
"from pymc.logprob.abstract import _logprob, MeasurableOp\n", | |
"from pytensor.graph.replace import clone_replace\n", | |
"\n", | |
"class ConjugateRV(OpFromGraph, MeasurableOp):\n", | |
" \"\"\"Wrapper for ConjugateRVs, that outputs the original RV and the conjugate posterior expression.\n", | |
"\n", | |
" For partial step samplers to work, the logp and initial point correspond to the original RV\n", | |
" while the variable itself is sampled by default by the `ConjugateRVSampler` by evaluating directly the\n", | |
" conjugate posterior expression (i.e., taking forward random draws).\n", | |
" \"\"\"\n", | |
"\n", | |
"@_logprob.register(ConjugateRV)\n", | |
"def conjugate_rv_logp(op, values, rv, *params, **kwargs):\n", | |
" return _logprob(rv.owner.op, values, *rv.owner.inputs)\n", | |
"\n", | |
"\n", | |
"@_support_point.register(ConjugateRV)\n", | |
"def conjugate_rv_support_point(op, conjugate_rv, rv, *params):\n", | |
" return _support_point(rv.owner.op, rv, *rv.owner.inputs)\n", | |
"\n", | |
"\n", | |
"def inline_ofg_outputs(op, inputs):\n", | |
" \"\"\"Inline the inner graph (outputs) of an OpFromGraph Op.\n", | |
"\n", | |
" Whereas `OpFromGraph` \"wraps\" a graph inside a single Op, this function \"unwraps\"\n", | |
" the inner graph.\n", | |
" \"\"\"\n", | |
" return clone_replace(\n", | |
" op.inner_outputs,\n", | |
" replace=tuple(zip(op.inner_inputs, inputs)),\n", | |
" )\n", | |
"\n", | |
"class ConjugateRVSampler(BlockedStep): \n", | |
" name = \"conjugate_rv_sampler\"\n", | |
" _state_class = StepMethodState\n", | |
"\n", | |
" def __init__(self, vars, model=None, rng=None, compile_kwargs: dict | None = None, **kwargs):\n", | |
" if len(vars) != 1:\n", | |
" raise ValueError(\"ConjugateRVSampler can only be assigned to one variable at a time\")\n", | |
"\n", | |
" model = modelcontext(model)\n", | |
" [value] = get_value_vars_from_user_vars(vars, model=model)\n", | |
" rv = model.values_to_rvs[value] \n", | |
" self.rv_name = value.name\n", | |
" \n", | |
" if model.rvs_to_transforms[rv] is not None:\n", | |
" raise ValueError(\"Variable assigned to ConjugateRVSampler cannot be transformed\")\n", | |
" \n", | |
" rv_and_posterior_rv_node = rv.owner\n", | |
" op = rv_and_posterior_rv_node.op\n", | |
" if not isinstance(op, ConjugateRV):\n", | |
" raise ValueError(\"Variable must be a ConjugateRV\")\n", | |
" \n", | |
" # Replace RVs in inputs of rv_posterior_rv_node by the corresponding value variables\n", | |
" value_inputs = model.replace_rvs_by_values(\n", | |
" [rv_and_posterior_rv_node.outputs[1]],\n", | |
" )[0].owner.inputs\n", | |
" # Inline the ConjugateRV graph to only compile `posterior_rv`\n", | |
" _, posterior_rv, *_ = inline_ofg_outputs(op, value_inputs)\n", | |
"\n", | |
" if compile_kwargs is None:\n", | |
" compile_kwargs = {}\n", | |
" self.posterior_fn = compile_pymc(\n", | |
" model.value_vars,\n", | |
" posterior_rv,\n", | |
" random_seed=rng,\n", | |
" on_unused_input=\"ignore\",\n", | |
" **compile_kwargs,\n", | |
" )\n", | |
" self.posterior_fn.trust_input = True\n", | |
" # self.posterior_fn.dprint()\n", | |
" if isinstance(self.posterior_fn.maker.linker, JAXLinker):\n", | |
" # Reseeding RVs in JAX backend requires a different logic, becuase the SharedVariables\n", | |
" # used internally are not the ones that `function.get_shared()` returns.\n", | |
" raise ValueError(\"ConjugateRVSampler is not compatible with JAX backend\") \n", | |
"\n", | |
" def set_rng(self, rng: np.random.Generator):\n", | |
" # Copy the function and replace any shared RNGs\n", | |
" # This is needed so that it can work correctly with multiple traces\n", | |
" # This will be costly if set_rng is called too often!\n", | |
" shared_rngs = [\n", | |
" var for var in self.posterior_fn.get_shared() if isinstance(var.type, RandomGeneratorType)\n", | |
" ]\n", | |
" n_shared_rngs = len(shared_rngs)\n", | |
" swap = {\n", | |
" old_shared_rng: pytensor.shared(rng, borrow=True)\n", | |
" for old_shared_rng, rng in zip(shared_rngs, rng.spawn(n_shared_rngs), strict=True)\n", | |
" }\n", | |
" self.posterior_fn = self.posterior_fn.copy(swap=swap)\n", | |
" \n", | |
" def step(self, point: PointType) -> tuple[PointType, list]: \n", | |
" new_point = point.copy()\n", | |
" new_point[self.rv_name] = self.posterior_fn(**point)\n", | |
" return new_point, []\n", | |
"\n", | |
" @staticmethod\n", | |
" def competence(var, has_grad):\n", | |
" \"\"\"BinaryMetropolis is only suitable for Bernoulli and Categorical variables with k=2.\"\"\"\n", | |
" if isinstance(var.owner.op, ConjugateRV):\n", | |
" return Competence.IDEAL\n", | |
"\n", | |
" return Competence.INCOMPATIBLE\n", | |
"\n", | |
"pm.STEP_METHODS.pop(-1)\n", | |
"pm.STEP_METHODS.append(ConjugateRVSampler)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"id": "c7a4930f-5c56-428e-bbc7-eb22ec8ad426", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from pytensor.graph.fg import Output\n", | |
"from pytensor.tensor.elemwise import DimShuffle\n", | |
"from pymc.model.fgraph import model_free_rv\n", | |
"\n", | |
"def get_model_var_of_rv(fgraph, rv):\n", | |
" \"\"\"Return the Model dummy var that wraps the RV\"\"\"\n", | |
" for client, _ in fgraph.clients[rv]:\n", | |
" if isinstance(client.op, ModelFreeRV | ModelObservedRV):\n", | |
" return client.outputs[0]\n", | |
"\n", | |
"def get_dist_params(rv):\n", | |
" return rv.owner.op.dist_params(rv.owner)\n", | |
"\n", | |
"@node_rewriter(tracks=[ModelFreeRV])\n", | |
"def beta_binomial_conjugacy(fgraph: FunctionGraph, node):\n", | |
" \"\"\"This applies the equivalence (up to a normalizing constant) described in:\n", | |
" \n", | |
" https://mc-stan.org/docs/stan-users-guide/efficiency-tuning.html#exploiting-sufficient-statistics \n", | |
" \"\"\"\n", | |
" [beta_free_rv] = node.outputs\n", | |
" beta_rv, beta_value, *beta_dims = node.inputs\n", | |
" \n", | |
" if not isinstance(beta_rv.owner.op, pm.Beta):\n", | |
" return None\n", | |
"\n", | |
" binomial_rvs = []\n", | |
" p_arg_idx = 3\n", | |
" for client, inp_idx in fgraph.clients[beta_free_rv]:\n", | |
" if isinstance(client.op, Output):\n", | |
" continue\n", | |
"\n", | |
" if isinstance(client.op, pm.Binomial) and p_arg_idx == 3:\n", | |
" # RV is directly used by a BinomialRV \n", | |
" binomial_rvs.append(client.default_output())\n", | |
"\n", | |
" elif isinstance(client.op, DimShuffle) and client.op.is_left_expand_dims:\n", | |
" for sub_client, sub_client_idx in fgraph.clients[client.outputs[0]]:\n", | |
" if isinstance(sub_client.op, pm.Binomial) and p_arg_idx == 3:\n", | |
" # RV is broadcasted and then used by a BinomialRV\n", | |
" binomial_rvs.append(sub_client.default_output())\n", | |
" else:\n", | |
" # Some other unrecognized use, bail out\n", | |
" return None\n", | |
" else:\n", | |
" # Some other unrecognized use, bail out\n", | |
" return None\n", | |
"\n", | |
" if len(binomial_rvs) != 1:\n", | |
" # TODO: Can we apply rewrite when RV is used by more than one binomial?\n", | |
" return None\n", | |
"\n", | |
" [binomial_rv] = binomial_rvs\n", | |
" \n", | |
" binomial_model_var = get_model_var_of_rv(fgraph, binomial_rv)\n", | |
" if binomial_model_var is None:\n", | |
" return None \n", | |
"\n", | |
" # We want to replace free_rv by ConjugateRV()->(free_rv, conjugate_posterior_rv)\n", | |
"\n", | |
" # New RNG for the posterior draws\n", | |
" rng = pytensor.shared(np.random.default_rng())\n", | |
" fgraph.add_input(rng)\n", | |
" \n", | |
" a, b = get_dist_params(beta_rv)\n", | |
" n, _ = get_dist_params(binomial_rv)\n", | |
" \n", | |
" # Use value of y in new graph to avoid circularity\n", | |
" y = binomial_model_var.owner.inputs[1]\n", | |
"\n", | |
" posterior_a = a + y\n", | |
" posterior_b = b + (n - y)\n", | |
" extra_dims = binomial_rv.type.ndim - beta_rv.type.ndim\n", | |
" if extra_dims > 0:\n", | |
" posterior_a = posterior_a.sum(range(extra_dims))\n", | |
" posterior_b = posterior_b.sum(range(extra_dims))\n", | |
" \n", | |
" next_rng, posterior_beta_rv = pm.Beta.dist(posterior_a, posterior_b, rng=rng).owner.outputs\n", | |
" new_beta_rv, _, _, = ConjugateRV([beta_rv, a, b, n, y, rng], [beta_rv, posterior_beta_rv, next_rng])(beta_rv, a, b, n, y, rng)\n", | |
"\n", | |
" # Removes transform if it existed\n", | |
" transform = None\n", | |
" new_beta_value = beta_rv.clone()\n", | |
" fgraph.add_input(new_beta_value)\n", | |
" new_beta_free_rv = model_free_rv(new_beta_rv, new_beta_value, transform, *beta_dims)\n", | |
" new_beta_free_rv.name = beta_free_rv.name\n", | |
" \n", | |
" return [new_beta_free_rv]" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "7924b7b2-2087-4f52-ad97-4045784cdb4c", | |
"metadata": {}, | |
"source": [ | |
"## Sample that first rewrites model" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"id": "a65814ce-2be4-492d-9925-7ced2936fad3", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from pytensor.graph.rewriting.db import EquilibriumDB, RewriteDatabaseQuery\n", | |
"\n", | |
"posterior_optimization_db = EquilibriumDB()\n", | |
"posterior_optimization_db.name = \"posterior_optimization_db\"\n", | |
"\n", | |
"posterior_optimization_db.register(\n", | |
" summary_stats_normal.__name__,\n", | |
" summary_stats_normal,\n", | |
" \"summary_stats\"\n", | |
")\n", | |
"\n", | |
"posterior_optimization_db.register(\n", | |
" beta_binomial_conjugacy.__name__,\n", | |
" beta_binomial_conjugacy,\n", | |
" \"conjugacy\"\n", | |
")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 12, | |
"id": "f28afc9b-8a7e-4f75-8226-4cffd2926bef", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"def opt_sample(*args, model=None, rewriter=None, verbose: bool=False, **kwargs):\n", | |
" model = pm.modelcontext(model)\n", | |
" fgraph, _ = fgraph_from_model(model)\n", | |
"\n", | |
" # Apply rewrites\n", | |
" if rewriter is None:\n", | |
" rewriter = posterior_optimization_db.query(RewriteDatabaseQuery(include=[\"summary_stats\", \"conjugacy\"]))\n", | |
"\n", | |
" # print(\"Before:\")\n", | |
" # fgraph.dprint()\n", | |
"\n", | |
" with pytensor.config.change_flags(on_opt_error=\"raise\"):\n", | |
" res = rewriter.rewrite(fgraph)\n", | |
" \n", | |
" if verbose:\n", | |
" for count in res[2]:\n", | |
" for key, val in count.items():\n", | |
" print(f\"Applied optimization: {key} {val}x\")\n", | |
" \n", | |
" # print(\"\\nAfter:\")\n", | |
" # fgraph.dprint()\n", | |
" new_model = model_from_fgraph(fgraph)\n", | |
"\n", | |
" return pm.sample(*args, model=new_model, **kwargs)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "1b81f1dc-c0d0-4417-8d79-8653f7e2e192", | |
"metadata": {}, | |
"source": [ | |
"### Summary stats" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 13, | |
"id": "b204a771-f57f-490d-b0e4-ba452c18c12c", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Initializing NUTS using jitter+adapt_diag...\n", | |
"Multiprocess sampling (4 chains in 4 jobs)\n", | |
"NUTS: [mu, sigma]\n" | |
] | |
}, | |
{ | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "9b95ddf6349f4648ad218e37fb8696d2", | |
"version_major": 2, | |
"version_minor": 0 | |
}, | |
"text/plain": [ | |
"Output()" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
}, | |
{ | |
"data": { | |
"text/html": [ | |
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n" | |
], | |
"text/plain": [] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
}, | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 8 seconds.\n" | |
] | |
} | |
], | |
"source": [ | |
"y_data = pm.draw(pm.Normal.dist(mu=1, sigma=0.5, size=(50_000,)), random_seed=42)\n", | |
"\n", | |
"with pm.Model() as m:\n", | |
" mu = pm.Normal(\"mu\")\n", | |
" sigma = pm.HalfNormal(\"sigma\")\n", | |
" y = pm.Normal(\"y\", mu=mu, sigma=sigma, observed=y_data)\n", | |
"\n", | |
" idata = pm.sample()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 14, | |
"id": "60b7d771-9cfd-4f2b-a457-4a262c14f867", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Initializing NUTS using jitter+adapt_diag...\n" | |
] | |
}, | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Applied optimization: summary_stats_normal 1x\n" | |
] | |
}, | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Multiprocess sampling (4 chains in 4 jobs)\n", | |
"NUTS: [mu, sigma]\n" | |
] | |
}, | |
{ | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "bb0a1b4c088b4d23abf2c252e868dd9e", | |
"version_major": 2, | |
"version_minor": 0 | |
}, | |
"text/plain": [ | |
"Output()" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
}, | |
{ | |
"data": { | |
"text/html": [ | |
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n" | |
], | |
"text/plain": [] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
}, | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n", | |
"/home/ricardo/Documents/pymc/pymc/backends/arviz.py:66: UserWarning: Could not extract data from symbolic observation y_mean\n", | |
" warnings.warn(f\"Could not extract data from symbolic observation {obs}\")\n", | |
"/home/ricardo/Documents/pymc/pymc/backends/arviz.py:66: UserWarning: Could not extract data from symbolic observation y_var\n", | |
" warnings.warn(f\"Could not extract data from symbolic observation {obs}\")\n" | |
] | |
} | |
], | |
"source": [ | |
"with m:\n", | |
" opt_idata = opt_sample(verbose=True)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 15, | |
"id": "441b3254-9a4f-4fc0-b0d9-9df92b67722a", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>mean</th>\n", | |
" <th>sd</th>\n", | |
" <th>hdi_3%</th>\n", | |
" <th>hdi_97%</th>\n", | |
" <th>mcse_mean</th>\n", | |
" <th>mcse_sd</th>\n", | |
" <th>ess_bulk</th>\n", | |
" <th>ess_tail</th>\n", | |
" <th>r_hat</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>mu</th>\n", | |
" <td>0.997</td>\n", | |
" <td>0.002</td>\n", | |
" <td>0.993</td>\n", | |
" <td>1.002</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>4349.0</td>\n", | |
" <td>2860.0</td>\n", | |
" <td>1.0</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>sigma</th>\n", | |
" <td>0.501</td>\n", | |
" <td>0.002</td>\n", | |
" <td>0.498</td>\n", | |
" <td>0.503</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>4198.0</td>\n", | |
" <td>2886.0</td>\n", | |
" <td>1.0</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", | |
"mu 0.997 0.002 0.993 1.002 0.0 0.0 4349.0 2860.0 \n", | |
"sigma 0.501 0.002 0.498 0.503 0.0 0.0 4198.0 2886.0 \n", | |
"\n", | |
" r_hat \n", | |
"mu 1.0 \n", | |
"sigma 1.0 " | |
] | |
}, | |
"execution_count": 15, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"pm.stats.summary(idata)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 16, | |
"id": "95d8e765-0119-43b0-ac8f-2f247ade42d8", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>mean</th>\n", | |
" <th>sd</th>\n", | |
" <th>hdi_3%</th>\n", | |
" <th>hdi_97%</th>\n", | |
" <th>mcse_mean</th>\n", | |
" <th>mcse_sd</th>\n", | |
" <th>ess_bulk</th>\n", | |
" <th>ess_tail</th>\n", | |
" <th>r_hat</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>mu</th>\n", | |
" <td>0.997</td>\n", | |
" <td>0.002</td>\n", | |
" <td>0.993</td>\n", | |
" <td>1.002</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>4535.0</td>\n", | |
" <td>3026.0</td>\n", | |
" <td>1.0</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>sigma</th>\n", | |
" <td>0.501</td>\n", | |
" <td>0.002</td>\n", | |
" <td>0.498</td>\n", | |
" <td>0.503</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>3857.0</td>\n", | |
" <td>2415.0</td>\n", | |
" <td>1.0</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", | |
"mu 0.997 0.002 0.993 1.002 0.0 0.0 4535.0 3026.0 \n", | |
"sigma 0.501 0.002 0.498 0.503 0.0 0.0 3857.0 2415.0 \n", | |
"\n", | |
" r_hat \n", | |
"mu 1.0 \n", | |
"sigma 1.0 " | |
] | |
}, | |
"execution_count": 16, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"pm.stats.summary(opt_idata)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 17, | |
"id": "19facad8-09c3-4f9e-a10c-f81737b6049b", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"(8.316920042037964, 1.8750338554382324)" | |
] | |
}, | |
"execution_count": 17, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"idata.sample_stats.sampling_time, opt_idata.sample_stats.sampling_time" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "d6096d0b-8c5e-4709-8715-a2ad6c0f59fa", | |
"metadata": {}, | |
"source": [ | |
"### Conjugacy" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 18, | |
"id": "db319e11-fd53-4393-add0-ad6a7dcf5fd8", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Initializing NUTS using jitter+adapt_diag...\n", | |
"Multiprocess sampling (4 chains in 4 jobs)\n", | |
"NUTS: [a, b, p]\n" | |
] | |
}, | |
{ | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "9dfcf7dcbceb4b6889c714107f0269bf", | |
"version_major": 2, | |
"version_minor": 0 | |
}, | |
"text/plain": [ | |
"Output()" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
}, | |
{ | |
"data": { | |
"text/html": [ | |
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n" | |
], | |
"text/plain": [] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
}, | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 12 seconds.\n" | |
] | |
} | |
], | |
"source": [ | |
"with pm.Model() as m:\n", | |
" a = pm.Gamma(\"a\", mu=1, sigma=1)\n", | |
" b = pm.Gamma(\"b\", mu=1, sigma=1)\n", | |
" p = pm.Beta(\"p\", a, b, shape=(1000,))\n", | |
" y = pm.Binomial(\"y\", n=100, p=p, observed=[50, 25, 75, 50] * 250)\n", | |
" idata = pm.sample()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 19, | |
"id": "e4d82b73-1a0d-4ca0-937e-34aea3bdd887", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Applied optimization: beta_binomial_conjugacy 1x\n" | |
] | |
}, | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Multiprocess sampling (4 chains in 4 jobs)\n", | |
"CompoundStep\n", | |
">NUTS: [a, b]\n", | |
">ConjugateRVSampler: []\n" | |
] | |
}, | |
{ | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "069684fa3cef4fd898a07c6cb5119f1c", | |
"version_major": 2, | |
"version_minor": 0 | |
}, | |
"text/plain": [ | |
"Output()" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
}, | |
{ | |
"data": { | |
"text/html": [ | |
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n" | |
], | |
"text/plain": [] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
}, | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 5 seconds.\n" | |
] | |
} | |
], | |
"source": [ | |
"with m:\n", | |
" opt_idata = opt_sample(verbose=True)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 20, | |
"id": "a10242f2-5be7-488b-b460-a40816ee5a31", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
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", | |
"text/plain": [ | |
"<Figure size 1200x400 with 4 Axes>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"pm.plots.plot_trace(idata, var_names=[\"a\", \"b\"]);" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 21, | |
"id": "a6fe8179-d68d-4a82-859f-b53a708de11c", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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", | |
"text/plain": [ | |
"<Figure size 1200x400 with 4 Axes>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"pm.plots.plot_trace(opt_idata, var_names=[\"a\", \"b\"]);" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 22, | |
"id": "979ef04b-205a-4d1b-b573-098b92641459", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>mean</th>\n", | |
" <th>sd</th>\n", | |
" <th>hdi_3%</th>\n", | |
" <th>hdi_97%</th>\n", | |
" <th>mcse_mean</th>\n", | |
" <th>mcse_sd</th>\n", | |
" <th>ess_bulk</th>\n", | |
" <th>ess_tail</th>\n", | |
" <th>r_hat</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>a</th>\n", | |
" <td>3.955</td>\n", | |
" <td>0.187</td>\n", | |
" <td>3.607</td>\n", | |
" <td>4.305</td>\n", | |
" <td>0.003</td>\n", | |
" <td>0.002</td>\n", | |
" <td>4470.0</td>\n", | |
" <td>3231.0</td>\n", | |
" <td>1.0</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>b</th>\n", | |
" <td>3.955</td>\n", | |
" <td>0.185</td>\n", | |
" <td>3.629</td>\n", | |
" <td>4.309</td>\n", | |
" <td>0.003</td>\n", | |
" <td>0.002</td>\n", | |
" <td>4607.0</td>\n", | |
" <td>3266.0</td>\n", | |
" <td>1.0</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", | |
"a 3.955 0.187 3.607 4.305 0.003 0.002 4470.0 3231.0 \n", | |
"b 3.955 0.185 3.629 4.309 0.003 0.002 4607.0 3266.0 \n", | |
"\n", | |
" r_hat \n", | |
"a 1.0 \n", | |
"b 1.0 " | |
] | |
}, | |
"execution_count": 22, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"pm.stats.summary(idata, var_names=[\"a\", \"b\"])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 23, | |
"id": "e2f66605-83e5-4a13-b930-bc1f6b1c6eca", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>mean</th>\n", | |
" <th>sd</th>\n", | |
" <th>hdi_3%</th>\n", | |
" <th>hdi_97%</th>\n", | |
" <th>mcse_mean</th>\n", | |
" <th>mcse_sd</th>\n", | |
" <th>ess_bulk</th>\n", | |
" <th>ess_tail</th>\n", | |
" <th>r_hat</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>a</th>\n", | |
" <td>3.968</td>\n", | |
" <td>0.192</td>\n", | |
" <td>3.612</td>\n", | |
" <td>4.324</td>\n", | |
" <td>0.006</td>\n", | |
" <td>0.004</td>\n", | |
" <td>1063.0</td>\n", | |
" <td>1085.0</td>\n", | |
" <td>1.0</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>b</th>\n", | |
" <td>3.967</td>\n", | |
" <td>0.193</td>\n", | |
" <td>3.595</td>\n", | |
" <td>4.316</td>\n", | |
" <td>0.006</td>\n", | |
" <td>0.004</td>\n", | |
" <td>1023.0</td>\n", | |
" <td>953.0</td>\n", | |
" <td>1.0</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", | |
"a 3.968 0.192 3.612 4.324 0.006 0.004 1063.0 1085.0 \n", | |
"b 3.967 0.193 3.595 4.316 0.006 0.004 1023.0 953.0 \n", | |
"\n", | |
" r_hat \n", | |
"a 1.0 \n", | |
"b 1.0 " | |
] | |
}, | |
"execution_count": 23, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"pm.stats.summary(opt_idata, var_names=[\"a\", \"b\"])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 24, | |
"id": "eb1e7fb0-22ed-42c2-85c1-8876f04bf1dc", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"(11.567404747009277, 4.600106716156006)" | |
] | |
}, | |
"execution_count": 24, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"idata.sample_stats.sampling_time, opt_idata.sample_stats.sampling_time" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "a161220c-e0f8-41ab-93d7-11ca2071eac0", | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "pymc-dev", | |
"language": "python", | |
"name": "pymc-dev" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.12.0" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 5 | |
} |
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