{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "(data_container)=\n", "# Using Data Containers\n", "\n", ":::{post} Dec 16, 2021\n", ":tags: posterior predictive, shared data \n", ":category: beginner\n", ":author: Juan Martin Loyola, Kavya Jaiswal, Oriol Abril, Jesse Grabowski\n", ":::" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running on PyMC v5.6.0\n" ] } ], "source": [ "import warnings\n", "\n", "import arviz as az\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "import pymc as pm\n", "\n", "from numpy.random import default_rng\n", "\n", "plt.rcParams[\"figure.constrained_layout.use\"] = True\n", "\n", "print(f\"Running on PyMC v{pm.__version__}\")" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "%config InlineBackend.figure_format = 'retina'\n", "RANDOM_SEED = sum(map(ord, \"Data Containers in PyMC\"))\n", "rng = default_rng(RANDOM_SEED)\n", "az.style.use(\"arviz-darkgrid\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Introduction\n", "\n", "After building the statistical model of your dreams, you're going to need to feed it some data. Data is typically introduced to a PyMC model in one of two ways. Some data is used as an exogenous input, called `X` in linear regression models, where `mu = X @ beta`. Other data are \"observed\" examples of the endogenous outputs of your model, called `y` in regression models, and is used as input to the likelihood function implied by your model. These data, either exogenous or endogenous, can be included in your model as wide variety of datatypes, including numpy `ndarrays`, pandas `Series` and `DataFrame`, and even pytensor `TensorVariables`. \n", "\n", "Although you can pass these \"raw\" datatypes to your PyMC model, the best way to introduce data into your model is to use one of two {func}`pymc.Data` containers. These containers make it extremely easy to work with data in a PyMC model. They offer a range of benefits, including:\n", "\n", "1. Visualization of data as a component of your probabilistic graph\n", "2. Access to labeled dimensions for readability and accessibility\n", "3. Support for swapping out data for out-of-sample prediction, interpolation/extrapolation, forecasting, etc.\n", "4. All data will be stored in your {class}`arviz.InferenceData`, which is useful for plotting and reproducible workflows.\n", "\n", "This notebook will illustrate each of these benefits in turn, and show you the best way to integrate data into your PyMC modeling workflow. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Types of Data Containers\n", "\n", " PyMC offers two data containers, depending on your needs: {func}`pymc.ConstantData` and {func}`pymc.MutableData`. Both will help you visualize how data fits into your model, store the data in an `InfereceData` for reproducibility, and give access to labeled dimenions. As the names suggest, however, only `MutableData` allows you to change your data. When `X` is `MutableData`, this enables out-of-sample inference tasks. When `y` is `MutableData`, it allows you to reuse the same model on multiple datasets to perform parameter recovery studies or sensitivity analysis. These abilities do, however, come with a small performance cost.\n", " \n", " In past versions of PyMC, the only data container was `pm.Data`. This container is still available for backwards compatability, but the current best practice is to use either `pm.MutableData` or `pm.ConstantData`. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Constant Data\n", "\n", "`pm.ConstantData` is a way to add fixed data to a model. It provides a speed boost in exchange for the ability to change the data. If you don't plan on changing a given data in your model, `pm.ConstantData` is right for that data. \n", "\n", "In the example shows some of the differences between using a data container, in this case `pm.ConstantData`, and \"raw\" data. This first model shows how raw data, in this case a numpy arrays, can be directly provided to a PyMC model." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (4 chains in 4 jobs)\n", "NUTS: [beta, sigma]\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", " \n", " 100.00% [8000/8000 00:00<00:00 Sampling 4 chains, 0 divergences]\n", "
\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 1 seconds.\n" ] } ], "source": [ "true_beta = 3\n", "true_std = 5\n", "n_obs = 100\n", "x = rng.normal(size=n_obs)\n", "y = rng.normal(loc=true_beta * x, scale=true_std, size=n_obs)\n", "\n", "with pm.Model() as no_data_model:\n", " beta = pm.Normal(\"beta\")\n", " mu = pm.Deterministic(\"mu\", beta * x)\n", " sigma = pm.Exponential(\"sigma\", 1)\n", " obs = pm.Normal(\"obs\", mu=mu, sigma=sigma, observed=y)\n", " idata = pm.sample(random_seed=RANDOM_SEED)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looking at the resulting computational graph, the `obs` node is shaded gray to indicate that it has observed data, in this case `y`. But the data itself is not shown on the graph, so there's no hint about what data has been observed. In addition, the `x` data doesn't appear in the graph anywhere, so it's not obvious that this model used exogenous data as an input." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "cluster100\n", "\n", "100\n", "\n", "\n", "\n", "sigma\n", "\n", "sigma\n", "~\n", "Exponential\n", "\n", "\n", "\n", "obs\n", "\n", "obs\n", "~\n", "Normal\n", "\n", "\n", "\n", "sigma->obs\n", "\n", "\n", "\n", "\n", "\n", "beta\n", "\n", "beta\n", "~\n", "Normal\n", "\n", "\n", "\n", "mu\n", "\n", "mu\n", "~\n", "Deterministic\n", "\n", "\n", "\n", "beta->mu\n", "\n", "\n", "\n", "\n", "\n", "mu->obs\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pm.model_to_graphviz(no_data_model)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Furthermore, inside `idata`, PyMC has automatically saved the observed (endogenous) `y` data, but not the exogenous `x` data. If we wanted to save this inference data for reuse, or to make it available as part of a reproducible research package, we would have to be sure to include the `x` data separately. " ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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       "Dimensions:    (obs_dim_0: 100)\n",
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       "  * obs_dim_0  (obs_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 92 93 94 95 96 97 98 99\n",
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" ], "text/plain": [ "\n", "Dimensions: (obs_dim_0: 100)\n", "Coordinates:\n", " * obs_dim_0 (obs_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 92 93 94 95 96 97 98 99\n", "Data variables:\n", " obs (obs_dim_0) float64 -0.3966 -3.337 -7.844 ... -6.549 -0.8598\n", "Attributes:\n", " created_at: 2023-07-15T13:32:19.359485\n", " arviz_version: 0.15.1\n", " inference_library: pymc\n", " inference_library_version: 5.6.0" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "idata.observed_data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this next model, we create a `pm.ConstantData` containers to hold the observations, and pass this container to the `observed`. We also make a `pm.ConstantData` container to hold the `x` data:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (4 chains in 4 jobs)\n", "NUTS: [beta, sigma]\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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\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 1 seconds.\n" ] } ], "source": [ "with pm.Model() as no_data_model:\n", " x_data = pm.ConstantData(\"x_data\", x)\n", " y_data = pm.ConstantData(\"y_data\", y)\n", " beta = pm.Normal(\"beta\")\n", " mu = pm.Deterministic(\"mu\", beta * x_data)\n", " sigma = pm.Exponential(\"sigma\", 1)\n", " obs = pm.Normal(\"obs\", mu=mu, sigma=sigma, observed=y_data)\n", " idata = pm.sample(random_seed=RANDOM_SEED)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Because we used a `pm.ConstantData` container, the data now appears on our probabilistic graph. It is downstream from `obs` (since the `obs` variable \"causes\" the data), shaded in gray (because it is observed), and has a special rounded square shape to emphasize that it is data. We also see that `x_data` has been added to the graph." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "cluster100\n", "\n", "100\n", "\n", "\n", "\n", "mu\n", "\n", "mu\n", "~\n", "Deterministic\n", "\n", "\n", "\n", "obs\n", "\n", "obs\n", "~\n", "Normal\n", "\n", "\n", "\n", "mu->obs\n", "\n", "\n", "\n", "\n", "\n", "y_data\n", "\n", "y_data\n", "~\n", "ConstantData\n", "\n", "\n", "\n", "obs->y_data\n", "\n", "\n", "\n", "\n", "\n", "x_data\n", "\n", "x_data\n", "~\n", "ConstantData\n", "\n", "\n", "\n", "x_data->mu\n", "\n", "\n", "\n", "\n", "\n", "sigma\n", "\n", "sigma\n", "~\n", "Exponential\n", "\n", "\n", "\n", "sigma->obs\n", "\n", "\n", "\n", "\n", "\n", "beta\n", "\n", "beta\n", "~\n", "Normal\n", "\n", "\n", "\n", "beta->mu\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pm.model_to_graphviz(no_data_model)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, we can check the inference data to see that the `x` data has been stored there as well. It is now a complete summary of all information needed to reproduce our model." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ "\n", "Dimensions: (x_data_dim_0: 100, y_data_dim_0: 100)\n", "Coordinates:\n", " * x_data_dim_0 (x_data_dim_0) int64 0 1 2 3 4 5 6 7 ... 93 94 95 96 97 98 99\n", " * y_data_dim_0 (y_data_dim_0) int64 0 1 2 3 4 5 6 7 ... 93 94 95 96 97 98 99\n", "Data variables:\n", " x_data (x_data_dim_0) float64 -1.383 -0.2725 ... -1.745 -0.5087\n", " y_data (y_data_dim_0) float64 -0.3966 -3.337 ... -6.549 -0.8598\n", "Attributes:\n", " created_at: 2023-07-15T13:32:21.918052\n", " arviz_version: 0.15.1\n", " inference_library: pymc\n", " inference_library_version: 5.6.0" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "idata.constant_data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Named dimensions with data containers\n", "\n", "Named dimensions are another powerful benefit of working with data containers. Both `pm.MutableData` and `pm.ConstantData` allow users to keep track of dimensions (like dates or cities) and coordinates (such as the actual date times or city names) of multi-dimensional data. Both allow you to specify the dimension names and coordinates of random variables, instead of specifying the shapes of those random variables as numbers. Notice that in the previous probabilistic graphs, all of the nodes `x_data`, `mu`, `obs` and `y_data` were in a box with the number 100. A natural question for a reader to ask is, \"100 what?\". Dimensions and coordinates help organize models, variables, and data by answering exactly this question.\n", "\n", "In the next example, we generate an artifical dataset of temperatures in 3 cities over 2 months. We will then use named dimensions and coordinates to improve the readability of the model code and the quality of the visualizations." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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BerlinSan MarinoParis
date
2020-05-0115.40153618.81780116.836690
2020-05-0213.57524117.44115314.407089
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" ], "text/plain": [ " Berlin San Marino Paris\n", "date \n", "2020-05-01 15.401536 18.817801 16.836690\n", "2020-05-02 13.575241 17.441153 14.407089\n", "2020-05-03 14.808934 19.890369 15.616649\n", "2020-05-04 16.071487 18.407539 15.396678\n", "2020-05-05 15.505263 17.621143 16.723544" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_data = pd.DataFrame(columns=[\"date\"]).set_index(\"date\")\n", "dates = pd.date_range(start=\"2020-05-01\", end=\"2020-07-01\")\n", "\n", "for city, mu in {\"Berlin\": 15, \"San Marino\": 18, \"Paris\": 16}.items():\n", " df_data[city] = rng.normal(loc=mu, size=len(dates))\n", "\n", "df_data.index = dates\n", "df_data.index.name = \"date\"\n", "df_data.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As noted above, `ConstantData` gives you the ability to give named labels to the dimensions of your data. This is done by passing a dictionary of `dimension: coordinate` key-value pairs to the `coords` argument of {class}`pymc.Model` when you create your model.\n", "\n", "For more explanation about dimensions, coordinates and their big benefits, we encourage you to take a look at the {ref}`ArviZ documentation `.\n", "\n", "This is a lot of explanation -- let's see how it's done! We will use a hierarchical model: it assumes a mean temperature for the European continent and models each city relative to the continent mean:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "# The data has two dimensions: date and city\n", "# The \"coordinates\" are the unique values that these dimensions can take\n", "coords = {\"date\": df_data.index, \"city\": df_data.columns}" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (4 chains in 4 jobs)\n", "NUTS: [europe_mean_temp, city_offset, sigma]\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", " \n", " 100.00% [8000/8000 00:04<00:00 Sampling 4 chains, 0 divergences]\n", "
\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 pm.Model(coords=coords) as model:\n", " data = pm.ConstantData(\"observed_temp\", df_data, dims=(\"date\", \"city\"))\n", "\n", " europe_mean = pm.Normal(\"europe_mean_temp\", mu=15.0, sigma=3.0)\n", " city_offset = pm.Normal(\"city_offset\", mu=0.0, sigma=3.0, dims=\"city\")\n", " city_temperature = pm.Deterministic(\n", " \"expected_city_temp\", europe_mean + city_offset, dims=\"city\"\n", " )\n", "\n", " sigma = pm.Exponential(\"sigma\", 1)\n", " pm.Normal(\"temperature\", mu=city_temperature, sigma=sigma, observed=data, dims=(\"date\", \"city\"))\n", "\n", " idata = pm.sample(\n", " random_seed=RANDOM_SEED,\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once again, we can look at the probabilistic graph implied by our model. As before, similar node (or groups of nodes) are grouped inside plates. The plates are labeled with the dimensions of each node. Before, we had the label 100 and asked, \"100 what?\". Now we see that in our model, there are 3 cities and 62 dates. Each of the 3 cities has it's own offset, which, together with a group average, determines the estimated temperature. Finally, we see that our data is actually a 2d matrix. Adding labeled dimensions has greatly improved the presentation of our probabilistic model. " ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "clusterdate (62) x city (3)\n", "\n", "date (62) x city (3)\n", "\n", "\n", "clustercity (3)\n", "\n", "city (3)\n", "\n", "\n", "\n", "temperature\n", "\n", "temperature\n", "~\n", "Normal\n", "\n", "\n", "\n", "observed_temp\n", "\n", "observed_temp\n", "~\n", "ConstantData\n", "\n", "\n", "\n", "temperature->observed_temp\n", "\n", "\n", "\n", "\n", "\n", "europe_mean_temp\n", "\n", "europe_mean_temp\n", "~\n", "Normal\n", "\n", "\n", "\n", "expected_city_temp\n", "\n", "expected_city_temp\n", "~\n", "Deterministic\n", "\n", "\n", "\n", "europe_mean_temp->expected_city_temp\n", "\n", "\n", "\n", "\n", "\n", "sigma\n", "\n", "sigma\n", "~\n", "Exponential\n", "\n", "\n", "\n", "sigma->temperature\n", "\n", "\n", "\n", "\n", "\n", "expected_city_temp->temperature\n", "\n", "\n", "\n", "\n", "\n", "city_offset\n", "\n", "city_offset\n", "~\n", "Normal\n", "\n", "\n", "\n", "city_offset->expected_city_temp\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pm.model_to_graphviz(model)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And we see that the model did remember the coords we gave it:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "date: (Timestamp('2020-05-01 00:00:00'), Timestamp('2020-05-02 00:00:00'), Timestamp('2020-05-03 00:00:00'), Timestamp('2020-05-04 00:00:00'), Timestamp('2020-05-05 00:00:00'), Timestamp('2020-05-06 00:00:00'), Timestamp('2020-05-07 00:00:00'), Timestamp('2020-05-08 00:00:00'), Timestamp('2020-05-09 00:00:00'), Timestamp('2020-05-10 00:00:00'), Timestamp('2020-05-11 00:00:00'), Timestamp('2020-05-12 00:00:00'), Timestamp('2020-05-13 00:00:00'), Timestamp('2020-05-14 00:00:00'), Timestamp('2020-05-15 00:00:00'), Timestamp('2020-05-16 00:00:00'), Timestamp('2020-05-17 00:00:00'), Timestamp('2020-05-18 00:00:00'), Timestamp('2020-05-19 00:00:00'), Timestamp('2020-05-20 00:00:00'))\n", "city: ('Berlin', 'San Marino', 'Paris')\n" ] } ], "source": [ "for k, v in model.coords.items():\n", " print(f\"{k}: {v[:20]}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Coordinates are automatically stored into the {class}`arviz.InferenceData` object:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Coordinates:\n", " * chain (chain) int64 0 1 2 3\n", " * draw (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n", " * city (city) " ] }, "metadata": { "image/png": { "height": 411, "width": 1211 } }, "output_type": "display_data" } ], "source": [ "axes = az.plot_trace(idata, var_names=[\"europe_mean_temp\", \"expected_city_temp\"], legend=True);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When we use `pm.ConstantData`, the data are internally represented as a pytensor {class}`pytensor.tensor.TensorConstant`." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "pytensor.tensor.var.TensorConstant" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type(data)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The values of all `pytensor` tensors, including both `ConstantData` and `MutableData`, can be checked using the {meth}`pytensor.graph.Variable.eval` method. To access the data, we can use the {class}`pymc.Model` object. All model variables, including data containers, can be accessed by indexing the model object itself with a variable name. Since this line:\n", "\n", "```python\n", " data = pm.ConstantData(\"observed_temp\", df_data, dims=(\"date\", \"city\"))\n", "```\n", "\n", "Gave the name \"observed_temp\" to the data, we can access it as follows: " ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[15.40153619, 18.81780064, 16.83668986],\n", " [13.57524128, 17.4411525 , 14.40708945],\n", " [14.80893441, 19.89036942, 15.61664911],\n", " [16.07148689, 18.40753876, 15.39667778],\n", " [15.50526329, 17.62114292, 16.72354378],\n", " [14.86774578, 16.91297071, 16.64398094],\n", " [15.39861564, 18.06957647, 16.8952898 ],\n", " [14.82344668, 17.8925678 , 18.13033425],\n", " [14.29595165, 18.18139386, 14.87228836],\n", " [13.7296701 , 18.6225866 , 15.67262894],\n", " [14.68800267, 17.48605691, 15.26520975],\n", " [14.62891834, 19.16219466, 16.71921201],\n", " [14.58253668, 17.09701213, 17.10149473],\n", " [14.39255946, 17.66357467, 15.68899804],\n", " [15.8653625 , 16.66259542, 16.69857121]])" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model[\"observed_temp\"].eval()[:15]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## MutableData\n", "\n", "In many cases, you will want the ability to switch out data between model runs. This arises when you want to fit a model to multiple datasets, if you are interested in out-of-sample prediction, and in many other applications. For these cases, `pm.MutableData` is the correct tool." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Using MutableData container variables to fit the same model to several datasets\n", "\n", "We can use `MutableData` container variables in PyMC to fit the same model to several datasets without the need to recreate the model each time (which can be time consuming if the number of datasets is large). Note, however, that the model will still be recompilied each time. \n", "\n", "In the next example, we will generate 10 models with a single parameter, `mu`. Each model will have a dataset with a different number of observations, from 10 to 100. We will use this setup to explore the effect of data quantity on parameter recovery. " ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "# We generate 10 datasets\n", "n_models = 10\n", "obs_multiplier = 10\n", "\n", "true_mu = [rng.random() for _ in range(n_models)]\n", "observed_data = [mu + rng.normal(size=(i + 1) * obs_multiplier) for i, mu in enumerate(true_mu)]\n", "\n", "with pm.Model() as model:\n", " data = pm.MutableData(\"data\", observed_data[0])\n", " mu = pm.Normal(\"mu\", 0, 10)\n", " pm.Normal(\"y\", mu=mu, sigma=1, observed=data)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once again, the name of our data is `data`, so we can look at it's type. Unlike `pm.ConstantData`, we now see class is now {class}`pytensor.compile.sharedvalue.SharedVariable`." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "pytensor.tensor.sharedvar.TensorSharedVariable" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type(model[\"data\"])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This difference in type is just an implemention detail. If you are interested in learning more about the ins and outs of pytensor, you can check out this {ref}`this tutorial on how Pytensor is used in PyMC `. For our purposes here, we just need to know that the `eval` method works great for checking values: " ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([-0.10562792, 0.62102496, 1.48658991, 0.92295128, 0.43538261,\n", " 0.73235925, -0.11983016, 0.89501808, -0.39242869, 1.4783441 ])" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model[\"data\"].eval()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "While `eval` can be used to check the values, {func}`pymc.set_data` is used to change them. Let's use the `MutableData` together with `pymc.set_data` to repeatedly fit the same model to multiple datasets. 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\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 0 seconds.\n" ] } ], "source": [ "# Generate one trace for each dataset\n", "idatas = []\n", "for data_vals in observed_data:\n", " with model:\n", " # Switch out the observed dataset\n", " pm.set_data({\"data\": data_vals})\n", " idatas.append(pm.sample(random_seed=RANDOM_SEED))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Arviz's {func}`arviz.plot_forest` allows you to pass a list of `idata` objects with the same variables names. In this way, we can quickly visualize the different estimates from the 10 different datasets. We also use `matplotlib` to scatter the true parameter values on top of the `plot_forest`. We can see that as we go from 10 observations in model 1 to 100 observations in model 10, the estimates become increasing centered on the true value of mu, and the uncertainty around the estimate goes down." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "image/png": { "height": 611, "width": 611 } }, "output_type": "display_data" } ], "source": [ "model_idx = np.arange(n_models, dtype=\"int\")\n", "axes = az.plot_forest(idatas, var_names=[\"mu\"], combined=True, figsize=(6, 6), legend=False)\n", "\n", "ax = axes[0]\n", "y_vals = np.stack([ax.get_lines()[i].get_ydata() for i in np.arange(n_models)]).ravel()\n", "ax.scatter(true_mu, y_vals[::-1], marker=\"^\", color=\"k\", zorder=100, label=\"True Value\")\n", "ax.set(yticklabels=[f\"Model {i+1}\" for i in model_idx[::-1]], xlabel=\"Posterior mu\")\n", "ax.legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Applied Example: Using MutableData as input to a binomial GLM\n", "\n", "A common task in machine learning is to predict values for unseen data, and the `MutableData` container variable is exactly what we need to do this. \n", "\n", "One small detail to pay attention to in this case is that the shapes of the input data (`x`) and output data (`obs`) must be the same. When we make out-of-sample predictions, we typically change only the input data, the shape of which may not be the same as the training observations. Naively changing only one will result in a shape error. There are two solutions:\n", "\n", "1. Use a `pm.MutableData` for the `x` data and the `y` data, and use `pm.set_data` to change `y` to something of the same shape as the test inputs. \n", "2. Tell PyMC that the shape of the `obs` should always be the shape of the input data.\n", "\n", "In the next model, we use option 2. This way, we don't need to pass dummy data to `y` every time we want to change `x`." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "n_obs = 100\n", "true_beta = 1.5\n", "true_alpha = 0.25\n", "\n", "x = rng.normal(size=n_obs)\n", "true_p = 1 / (1 + np.exp(-(true_alpha + true_beta * x)))\n", "y = rng.binomial(n=1, p=true_p)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you can see, we can even mix-and-match `pm.ConstantData` and `pm.MutableData`, depending on which data we plan to change. In this example, we don't plan to do any post-estimation tasks with `y`, so we can put it in a `ConstantData` container." ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (4 chains in 4 jobs)\n", "NUTS: [alpha, beta]\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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This shows the distribution of data sampled from your model along side the observed data. If they look similar, we have some evidence that the model isn't so bad.\n", "\n", "In this case, however, it can be difficult to interpret a posterior predictive plot. Since we're doing a logistic regression, observed values can only be zero or one. As a result, the posterior predictive graph has this tetris-block shape. What are we to make of it? Evidently our model produces more 1's than 0's, and the mean proportion matches the data. But there's also a lot of uncertainty in that proportion. We else can we say about the model's performance? " ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": { "image/png": { "height": 491, "width": 731 } }, "output_type": "display_data" } ], "source": [ "az.plot_ppc(idata)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Another graph we could make to see how our model is doing is to look at how the latent variable `p` evolves over the space of covariates. We expect some relationship between the covariate and the data, and our model encodes that relationship in the variable `p`. In this model, the only covariate is `x`. If the relationship between `x` and `y` is positive, we expect low `p` and lots of observed zeros where `x` is small, and high `p` and lots of observed ones where it is large. \n", "\n", "That's nice and all, but for plotting `x` is all jumbled up. Admittedly, we could just sort the values. But another way (that shows off how to use our `MutableData`!) is to pass an evenly spaced grid of `x` values into our model. This corresponds to making a preditiction for `p` at every point on the grid, which will give us a nice plottable result. This is also how we could do interpolation of extrapolation using our model, so it's a very nice technique to know.\n", "\n", "In the next code block, we swap out the (randomly shuffled) values of `x` for an evenly-spaced grid of values that spans the range of observed `x`." ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Sampling: [obs]\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "grid_size = 250\n", "x_grid = np.linspace(x.min(), x.max(), grid_size)\n", "with logistic_model:\n", " # Switch out the observations and use `sample_posterior_predictive` to predict\n", " # We do not need to set data for the outputs because we told the model to always link the shape of the output to the shape\n", " # of the input.\n", " pm.set_data({\"x\": x_grid})\n", " post_idata = pm.sample_posterior_predictive(\n", " idata, var_names=[\"p\", \"obs\"], random_seed=RANDOM_SEED\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using the new `post_idata`, which holds the out-of-sample \"predictions\" for `p`, we make the plot of `x_grid` against `p`. We also plot the observed data. We can see that the model expects low probability (`p`) where `x` is small, and that the probability changes very gradually with `x`. " ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "image/png": { "height": 491, "width": 731 } }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "hdi = az.hdi(post_idata.posterior_predictive.p).p\n", "\n", "ax.scatter(x, y, facecolor=\"none\", edgecolor=\"k\", label=\"Observed Data\")\n", "p_mean = post_idata.posterior_predictive.p.mean(dim=[\"chain\", \"draw\"])\n", "ax.plot(x_grid, p_mean, color=\"tab:red\", label=\"Mean Posterior Probability\")\n", "ax.fill_between(x_grid, *hdi.values.T, color=\"tab:orange\", alpha=0.25, label=\"94% HDI\")\n", "ax.legend()\n", "ax.set(ylabel=\"Probability of $y=1$\", xlabel=\"x value\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The same concept applied to a more complex model can be seen in the notebook {ref}`bayesian_neural_network_advi`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Applied example: height of toddlers as a function of age" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This example is taken from Osvaldo Martin's book: [Bayesian Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC and ArviZ, 2nd Edition](https://www.amazon.com/Bayesian-Analysis-Python-Introduction-probabilistic-ebook/dp/B07HHBCR9G) {cite:p}`martin2018bayesian`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The World Health Organization and other health institutions around the world collect data\n", "for newborns and toddlers and design [growth charts standards](http://www.who.int/childgrowth/en/). These charts are an essential component of the paediatric toolkit and also as a measure of the general well-being of\n", "populations in order to formulate health policies, and plan interventions and\n", "monitor their effectiveness.\n", "\n", "An example of such data is the lengths (heights) of newborn / toddler girls as a function of age (in months):" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "image/png": { "height": 491, "width": 731 } }, "output_type": "display_data" } ], "source": [ "try:\n", " data = pd.read_csv(\"../data/babies.csv\")\n", "except FileNotFoundError:\n", " data = pd.read_csv(pm.get_data(\"babies.csv\"))\n", "data.plot.scatter(\"Month\", \"Length\", alpha=0.4);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To model this data, we will introduce one new feature: mutable `coords`. When we know we have a coord that is going to need to change in the future, like the index of data we will change between training and test sets, we can set the model `coords` via the `coords_mutable` keyword argument.\n", "\n", "You are also allowed to specify both `coords` and `coords_mutable` in the same model. In this next model, we will always have the same parameters, so the `parameters` coord is specified as constant via `coords`, while the `obs_idx` will change when we go to do out-of-sample prediction. \n", "\n", "Finally, we plan to use to use this model to do some out-of-sample prediction. Thus, we will opt for `pm.MutableData` as the data container. Note that we are allowed to label the dimensions of a `pm.MutableData` just like `pm.ConstantData`." ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (4 chains in 4 jobs)\n", "NUTS: [mean_params, sigma_params]\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", " \n", " 100.00% [8000/8000 00:01<00:00 Sampling 4 chains, 0 divergences]\n", "
\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" ] } ], "source": [ "with pm.Model(\n", " coords_mutable={\"obs_idx\": np.arange(len(data))}, coords={\"parameter\": [\"intercept\", \"slope\"]}\n", ") as model_babies:\n", " mean_params = pm.Normal(\"mean_params\", sigma=10, dims=[\"parameter\"])\n", " sigma_params = pm.Normal(\"sigma_params\", sigma=10, dims=[\"parameter\"])\n", " month = pm.MutableData(\"month\", data.Month.values.astype(float), dims=[\"obs_idx\"])\n", "\n", " mu = pm.Deterministic(\"mu\", mean_params[0] + mean_params[1] * month**0.5, dims=[\"obs_idx\"])\n", " sigma = pm.Deterministic(\"sigma\", sigma_params[0] + sigma_params[1] * month, dims=[\"obs_idx\"])\n", "\n", " length = pm.Normal(\"length\", mu=mu, sigma=sigma, observed=data.Length, dims=[\"obs_idx\"])\n", "\n", " idata_babies = pm.sample(random_seed=RANDOM_SEED)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following figure shows the result of our model. The expected length, $\\mu$, is represented with a blue curve, and two semi-transparent orange bands represent the 60% and 94% highest posterior density intervals of posterior predictive length measurements:" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Sampling: [length]\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "with model_babies:\n", " pm.sample_posterior_predictive(idata_babies, extend_inferencedata=True, random_seed=RANDOM_SEED)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "image/png": { "height": 491, "width": 731 } }, "output_type": "display_data" } ], "source": [ "ax = az.plot_hdi(\n", " data.Month,\n", " idata_babies.posterior_predictive[\"length\"],\n", " hdi_prob=0.6,\n", " fill_kwargs={\"alpha\": 0.8},\n", ")\n", "ax.plot(\n", " data.Month,\n", " idata_babies.posterior[\"mu\"].mean((\"chain\", \"draw\")),\n", " label=\"Posterior predictive mean\",\n", ")\n", "ax = az.plot_lm(\n", " idata=idata_babies,\n", " y=\"length\",\n", " x=\"month\",\n", " kind_pp=\"hdi\",\n", " y_kwargs={\"color\": \"k\", \"ms\": 6, \"alpha\": 0.15},\n", " y_hat_fill_kwargs=dict(fill_kwargs={\"alpha\": 0.4}),\n", " axes=ax,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "At the moment of writing Osvaldo's daughter is two weeks ($\\approx 0.5$ months) old, and thus he wonders how her length compares to the growth chart we have just created. One way to answer this question is to ask the model for the distribution of the variable length for babies of 0.5 months. Using PyMC we can ask this questions with the function `sample_posterior_predictive` , as this will return samples of _Length_ conditioned on the obseved data and the estimated distribution of parameters, that is including uncertainties. \n", "\n", "The only problem is that by default this function will return predictions for _Length_ for the observed values of _Month_, and $0.5$ months (the value Osvaldo cares about) has not been observed, -- all measures are reported for integer months. The easier way to get predictions for non-observed values of _Month_ is to pass new values to the `Data` container we defined above in our model. To do that, we need to use `pm.set_data` and then we just have to sample from the posterior predictve distribution. We will also have to set `coords` for these new observations, which we are allowed to do in the `pm.set_data` function because we have set the `obs_idx` coord as mutable. \n", "\n", "Note that the actual value we pass for `obs_idx` is totally irrevelant *in this case*, so we give it a value of 0. What is important is that we update it to have the same length as the ages we want to do out-of-sample prediction for, and that each age has a unique index identifier." ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Sampling: [length]\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ages_to_check = [0.5]\n", "with model_babies:\n", " pm.set_data({\"month\": ages_to_check}, coords={\"obs_idx\": [0]})\n", "\n", " # Setting predictions=True will add a new \"predictions\" group to our idata. This lets us store the posterior,\n", " # posterior_predictive, and predictions all in the same object.\n", " idata_babies = pm.sample_posterior_predictive(\n", " idata_babies, extend_inferencedata=True, predictions=True, random_seed=RANDOM_SEED\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can plot the expected distribution of lengths for 2-week old babies and compute additional quantities -- for example the percentile of a child given her length. Here, let's imagine that the child we're interested in has a length of 51.5:" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "image/png": 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IasBTbGysKV1fXe1Z5zYnOOF502tVnUs7AKt4UwYa8ve//10LFixwL2QsSU899ZTS09Otyp5PeP6bCwoK/JMRBITWlIGm0B+AHVg1yEOfAP7mdDrrLA7atWtXr4/33LdmUeAa9AkA32p6Qq0Oovaok7cMwzAd5zmvUmvUXm3Wc6L/1vCswDIzM70+dt++faY0FZi91TfAs3DhwkaPqR2EkFwDPB9++KE7nZ6erhdeeMHrPHguGpOWlubVnHf+Ehsbq+PHj7vTBQUFiouL82OO4E+eTybVV1d71rn79+/3+vy+qnNpB2AVb8pAfTIyMvTII4+osrLSve2RRx7RL37xC0vz5wst/TejffL13wP9AdhBfYM8CQkJzToHfQIEgssvv1yHDh1yp1uz6KNnnU2fAPCtDvvkdiDLz89XUVGRO+15w9AaUVFRptdrMjMzTTfOjfn6669N6dTUVMvyBf+rqqpq8uM5gFMzwNPQ7xtTXV1tCoxLgfv6YQ2CGqjtxIkTpnR9bz4MGjRIUVFR7vSuXbu8Pn/tOjc4OFijRo1qfibrQTsAq3hTBjzt3r1bs2bNMnUCp0+frocfftjy/Fmturra9KSV0+k0lW90PC0pA96iPwC7aO39MX0CBArP9T6aM02H59PV3bp1M6XpEwC+1WGD21FRUcrKymrW59133zWdY/Lkyabfv/jii5bkbevWrab0kCFDLDlvjdpzWVZUVJhWpW5IWVmZaSXoXr16KTk52dJ8oWPJyMgw3QSMHj262U95tCWCGqjt9OnTOnjwoDsdGxurHj161NkvJCREN9xwg+m42q/dNiQnJ8e038iRIy0NmtAOoLW8LQO1ZWdna8aMGaa3hu677z499thjPsunlXbu3KnCwkJ32ur7M9hLS8pAc9AfgF20dpCHPgECxYQJE0xvDOzcudOr4wzDMAWrg4OD69TZ9AkA3+qwwe1AVVFRobfeesu07brrrrP0Grfeeqsp/ac//anJY/7yl7+YOnQTJ060NE9oe/4e4Fm7dm2dcwUyghqobfny5aZpeq699toGX5+97bbbTGlv6tzVq1ebpr2yus6lHUBrNacMSNLx48f1wAMPmOagTEtL0zPPPOPTfFrpjTfeMKWtvj+DvTS3DDQH/QHYhRWDPPQJECh69uxpeip68+bNysvLa/K4bdu2mQY8RowYYVpotQZ9AsB3CG77UE5OTrMWGqqurtbTTz9tukGIi4vTHXfc0ehxa9euVVJSkvszf/78RvdPTk7WTTfd5E7v2LGjzurUteXl5enll192p8PDw/XAAw80/o8BGlFcXKxNmza50506darT2AcaghrtU3l5uQ4fPtysY/73f/9X7733njvtcDh0//33N7j/+PHjTSuo//nPf9aOHTsa3P/IkSNasWKFOx0XF6d/+Zd/aTRPtANoqbYoAzk5OZo2bZpyc3Pd22655Rb913/9l2XBwOaUgYKCgma9aixJy5Yt07Zt29zpsLAw3XfffS3OLwKHr8sA/QG0Z60d5KFPgEDzq1/9yv1zWVmZFi1a1Oj+Fy5c0OLFi03bpkyZUu++9AkA3yG47UPffPONfvSjH+m///u/m1ww4MCBA5o6dWqdkeu5c+cqIiLC8rw98sgjCgn5YT3RhQsXav369XX2O3HihH75y1/q3Llz7m3333+/pa9douP561//aprP68c//nG9o9veIqiBlrp48aJ+8pOfaO7cudq2bZtpgTtPubm5evbZZ7VgwQLT9vT0dA0fPrzB4xwOh+bOnetOG4ahWbNmKSMjo86++/fv19SpU1VWVubeNnv2bIWHhzfnn+UV2gFIvi8D58+f1/Tp03Xy5En3tuuvv15LlixRcHCwNf+IZjp9+rQmTJigp59+Wl999VWdxZJrO378uP793/9dr7/+umn7jBkzFB8f7+usog34ugzQH4AdtMVAZ33oEyDQjBs3zhTs3bhxo5544gnTGgg1jh8/rmnTpunIkSPubcOHD29wgIY+AeA7IU3vgta4cOGCVq5cqZUrVyouLk7Jycnq16+fIiMjZRiG8vLytHv3bmVlZdU59sEHH9Sdd97pk3wNHTpUTz31lP7zP/9TkuuGZt68eXr77beVkpKi8PBwHTp0SFu3bjXd5F999dWaM2eOT/KEjsNzRXRf/Z3X5/Tp07rnnns0efJkTZo0SaNHj27wCZPjx49ryZIl+uijj0zbCWq0L1VVVdqwYYM2bNigLl26aOjQoRo4cKC6du0qp9OpwsJCHThwQLt27VJFRYXp2JSUFD333HNNXuPmm2/WjBkz3K+ZFxYWaurUqRo1apRGjBihoKAgZWVlafv27aZA26RJk3Tvvfda+w++hHYANXxZBjZv3qzs7GzTts8++0xXXXVVs/KYnp6uF154oVnHNKa8vFxr1qzRmjVrFB0dreTkZA0YMEBRUVEKCgpSfn6+9u3bp71799ZZLPm2227T7NmzLcsL/M/X7QD9AQS6mkGeiRMn6s4779TYsWNNwa7acnNztXz58jrTFzQ12F8f+gQIRL/5zW/0r//6r+6g9bp16/T3v/9d119/vfr376+KigplZ2fr888/N7UJMTExWrZsmYKCGn6GlD4B4BsEt9tQbm6uaeL9hoSHh2v+/Pk+HwW+7777VFRUpFdffdVdSWVmZiozM7Pe/ceOHatXX31VTqfTp/lC+3bixAn985//dKd79+6tsWPHtmkeCGqgIcXFxdqxY0ejrwjWuO+++zR//nyFhoZ6de65c+fq4sWLWrVqlXvbzp07G1ys5vbbb9fzzz/vXcZbiHYAnqwuA/U9Fe1Zr3qjJcd4q6CgQNu3b9f27dsb3S84OFizZs3Sww8/bNl0Kgg8vmwHJPoDCFxtMdhfG30CBKquXbvq7bff1pw5c7Rv3z5JUlFRkTZu3NjgMQMHDtSbb76p3r17N3l++gSA9Qhu+1BSUpJ+9rOf6csvv9Thw4eb7JjFxcVp8uTJ+vnPf66ePXu2SR5nzpypMWPGaOnSpfr888/rzWO/fv00ZcoU3X///XTm0GqeT2ikpaX59e+KoEbHFh4eroceekhffPGF9u3bp/Ly8kb3j4iI0IQJE3T//fc3++mkoKAgPfXUU7r++uu1fPly06rqtQ0ePFjTp09XWlpas87fUrQDHVtbloFA0bNnT02bNk1ffvmlsrKyGp2GQnJ1cu+44w5NmTJFAwcObKNcoq34ugzQH4Ad+XqQR6JPgMDWt29frVmzRitXrtSaNWt06tSpevfr0aOHfvnLX+oXv/iF11OG0CcArOcwGptoEJYpKSnRt99+q5MnT+r7779XSUmJHA6HIiMjFRMTo2HDhqlfv35+zWNOTo52796tnJwcXbx4UT169FBiYqJGjBjh13whcHzxxRemufQmT56sF1980evjDcPQhAkTTHOvfvLJJ0pISGhVvtauXasnn3zSq3zl5+frzTffJKiBOiorK3XkyBEdP35cZ86c0YULF1RZWanIyEhFRUVp0KBBSkpKsmye4GPHjmnfvn06e/asqqqqFB8f776Gv9AOdGxtXQYCQXl5ufv+7OzZs7pw4YKqq6sVFRWl6OhoJSUl6bLLLqMD10H4ugzQH0CgKi8v1+uvv95mA530CWAnhmHom2++0ZEjR5SbmyuHw6GYmBgNHTpUQ4YMafX56RMArUdwG0CHRVADAAAA+AEDnfQJAMBuCG4DAAAAAAAAAGyn4WVcAQAAAAAAAAAIUAS3AQAAAAAAAAC2Q3AbAAAAAAAAAGA7BLcBAAAAAAAAALZDcBsAAAAAAAAAYDsEtwEAAAAAAAAAtkNwGwAAAAAAAABgOwS3AQAAAAAAAAC2Q3AbAAAAAAAAAGA7BLcBAAAAAAAAALZDcBsAAAAAAAAAYDsEtwEAAAAAAAAAtkNwGwAAAAAAAABgOwS3AQAAAAAAAAC2Q3AbAAAAAAAAAGA7BLcBAAAAAAAAALZDcBsAAAAAAAAAYDsEtwEAAAAAAAAAtkNwGwAAAAAAAABgOwS3AQAAAAAAAAC2Q3AbAAAAAAAAAGA7BLcBAAAAAAAAALZDcBsAAAAAAAAAYDsEtwEAAAAAAAAAtkNwGwAAAAAAAABgO/8fFEQ0t7zzAUQAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 491, "width": 731 } }, "output_type": "display_data" } ], "source": [ "ref_length = 51.5\n", "\n", "az.plot_posterior(\n", " idata_babies,\n", " group=\"predictions\",\n", " ref_val={\"length\": [{\"ref_val\": ref_length}]},\n", " labeller=az.labels.DimCoordLabeller(),\n", ");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Authors\n", "* Authored by [Juan Martin Loyola](https://github.com/jmloyola) in March, 2019 ([pymc#3389](https://github.com/pymc-devs/pymc/pull/3389))\n", "* Updated by [Kavya Jaiswal](https://github.com/KavyaJaiswal) and [Oriol Abril](https://github.com/OriolAbril) in December, 2021 ([pymc-examples#151](https://github.com/pymc-devs/pymc-examples/pull/151))\n", "* Updated by [Jesse Grabowski](https://github.com/jessegrabowski) in July 2023 ([pymc-examples#559](https://github.com/pymc-devs/pymc-examples/pull/559))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## References\n", "\n", ":::{bibliography}\n", ":filter: docname in docnames\n", ":::" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Watermark" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Last updated: Sat Jul 15 2023\n", "\n", "Python implementation: CPython\n", "Python version : 3.10.12\n", "IPython version : 8.14.0\n", "\n", "pytensor: 2.12.3\n", "xarray : 2023.6.0\n", "\n", "pymc : 5.6.0\n", "matplotlib: 3.7.2\n", "pandas : 2.0.3\n", "arviz : 0.15.1\n", "numpy : 1.24.4\n", "\n", "Watermark: 2.4.3\n", "\n" ] } ], "source": [ "%load_ext watermark\n", "%watermark -n -u -v -iv -w -p pytensor,xarray" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ":::{include} ../page_footer.md\n", ":::" ] } ], "metadata": { "celltoolbar": "Tags", "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 4 }